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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Medicine 97 9230 8665 4760 4403 361 37033

Ziding Feng publications per year

The chart shows the history of publications by Ziding Feng between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ziding Feng published across 34 years, from 1992 to 2025, averaging 17.1 papers a year. Output peaked at 177 publications in 2023. 47 of the 583 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 177. Peak 177 publications in 2023. 1992: 1 publication 1993: 1 publication 1994: 2 publications 1995: 2 publications 1996: 2 publications 1997: 4 publications 1998: 2 publications 1999: 3 publications 2000: 8 publications 2001: 6 publications 2002: 9 publications 2003: 12 publications 2004: 14 publications 2005: 16 publications 2006: 18 publications 2007: 11 publications 2008: 24 publications 2009: 12 publications 2010: 16 publications 2011: 16 publications 2012: 17 publications 2013: 25 publications 2014: 10 publications 2015: 21 publications 2016: 28 publications 2017: 16 publications 2018: 17 publications 2019: 13 publications 2020: 11 publications 2021: 8 publications 2022: 14 publications 2023: 177 publications 2024: 28 publications 2025: 19 publications
1992 2025

583 publications in total across all disciplines

View publications per year as a table
Ziding Feng: publications per year, 1992 to 2025
Year Publications
1992 1
1993 1
1994 2
1995 2
1996 2
1997 4
1998 2
1999 3
2000 8
2001 6
2002 9
2003 12
2004 14
2005 16
2006 18
2007 11
2008 24
2009 12
2010 16
2011 16
2012 17
2013 25
2014 10
2015 21
2016 28
2017 16
2018 17
2019 13
2020 11
2021 8
2022 14
2023 177
2024 28
2025 19
Total 583
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Ziding Feng publications per year - data summary

  • Ziding Feng, a Medicine scholar from Fred Hutchinson Cancer Research Center, has 583 publications recorded across 34 years, from 1992 to 2025.
  • The oldest publication on record dates to 1992 and the most recent to 2025.
  • The most productive year is 2023, with 177 publications.
  • The least productive years with any output are 1992 and 1993, with 1 publication each.
  • The rate of publication averages 17.1 papers per year over the whole span, or 17.1 per year counting only the 34 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 246 publications, 42% of the career total.
  • Split into equal eras - 1992-2003: 52 publications (4.3 per year); 2004-2015: 200 publications (16.7 per year); 2016-2025: 331 publications (33.1 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Ziding Feng publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Ziding Feng sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 86 bars. Horizontal axis: publications, 101–120 to 1,796+. Vertical axis: number of scientists, 0 to 922. Most scientists, 922, have 341–360 publications. The last bar groups every scientist with 1,796 publications or more. The highlighted bar, 361–380 publications, is where this scientist sits. 101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 610 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101–120 publications 1,796+

This scientist: 361 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

View publications distribution as a table
Number of Medicine scientists by publication count, Research.com 2026 ranking edition. Based on 20,134 ranked scientists.
Publications Scientists This scientist
101–120 5
121–140 26
141–160 73
161–180 155
181–200 230
201–220 363
221–240 487
241–260 545
261–280 722
281–300 768
301–320 834
321–340 895
341–360 922
361–380 838 361
381–400 861
401–420 918
421–440 806
441–460 771
461–480 751
481–500 713
501–520 617
521–540 610
541–560 537
561–580 504
581–600 509
601–620 396
621–640 386
641–660 371
661–680 340
681–700 336
701–720 307
721–740 259
741–760 230
761–780 228
781–800 217
801–820 204
821–840 186
841–860 177
861–880 155
881–900 139
901–920 145
921–940 116
941–960 133
961–980 91
981–1,000 96
1,001–1,020 77
1,021–1,040 70
1,041–1,060 63
1,061–1,080 77
1,081–1,100 49
1,101–1,120 54
1,121–1,140 49
1,141–1,160 51
1,161–1,180 35
1,181–1,200 39
1,201–1,220 26
1,221–1,240 37
1,241–1,260 36
1,261–1,280 27
1,281–1,300 32
1,301–1,320 28
1,321–1,340 17
1,341–1,360 30
1,361–1,380 28
1,381–1,400 17
1,401–1,420 21
1,421–1,440 15
1,441–1,460 12
1,461–1,480 12
1,481–1,500 18
1,501–1,520 14
1,521–1,540 17
1,541–1,560 15
1,561–1,580 6
1,581–1,600 2
1,601–1,620 12
1,621–1,640 11
1,641–1,660 8
1,661–1,680 5
1,681–1,700 5
1,701–1,720 10
1,721–1,740 12
1,741–1,760 14
1,761–1,780 6
1,781–1,795 5
1,796+ 100
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Ziding Feng publication distribution in Medicine in 2026 - data summary

  • The chart plots the publication count of all 20,134 Medicine scientists ranked by Research.com in 2026, grouped into 86 ranges running from 101–120 to 1,796+ publications.
  • Ziding Feng, a Medicine scholar from Fred Hutchinson Cancer Research Center, records 361 publications - the 30th percentile of the discipline.
  • 30% of ranked Medicine scientists score the same or lower than Ziding Feng, and about 70% score higher.
  • The median of the discipline falls in the 441–460 publications range, and Ziding Feng ranks below the median.
  • The most crowded range is 341–360 publications, holding 922 scientists (5% of the field).
  • 64% of the field sits in the lowest quarter of the value range (up to 521–540 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,796 publications or more, 100 scientists in all (<1% of the field).

Ziding Feng D-index placement in Medicine in 2026

The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Ziding Feng sits on this spectrum.

No. of scientists
250 500 750 1,000
Bar chart with 75 bars. Horizontal axis: D-Index, 70–71 to 217+. Vertical axis: number of scientists, 0 to 1,027. Most scientists, 1,027, have 82–83 D-Index. The last bar groups every scientist with 217 D-Index or more. The highlighted bar, 96–97 D-Index, is where this scientist sits. 70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 399 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70–71 D-Index 217+

This scientist: 97 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

View D-Index distribution as a table
Number of Medicine scientists by D-index, Research.com 2026 ranking edition. Based on 20,134 ranked scientists.
D-Index Scientists This scientist
70–71 226
72–73 391
74–75 574
76–77 730
78–79 891
80–81 972
82–83 1,027
84–85 1,003
86–87 960
88–89 970
90–91 922
92–93 839
94–95 808
96–97 779 97
98–99 668
100–101 611
102–103 630
104–105 513
106–107 541
108–109 445
110–111 429
112–113 399
114–115 393
116–117 318
118–119 302
120–121 287
122–123 255
124–125 256
126–127 252
128–129 230
130–131 179
132–133 168
134–135 163
136–137 159
138–139 134
140–141 134
142–143 118
144–145 109
146–147 106
148–149 74
150–151 79
152–153 80
154–155 87
156–157 57
158–159 74
160–161 69
162–163 60
164–165 53
166–167 39
168–169 42
170–171 32
172–173 39
174–175 40
176–177 28
178–179 19
180–181 23
182–183 31
184–185 18
186–187 20
188–189 22
190–191 13
192–193 21
194–195 12
196–197 12
198–199 14
200–201 15
202–203 13
204–205 10
206–207 8
208–209 4
210–211 12
212–213 11
214–215 10
216 4
217+ 98
Download as CSV

Ziding Feng D-index placement in Medicine in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 20,134 Medicine scientists ranked by Research.com in 2026, grouped into 75 ranges running from 70–71 to 217+ D-Index.
  • Ziding Feng, a Medicine scholar from Fred Hutchinson Cancer Research Center, records 97 D-Index - the 55th percentile of the discipline.
  • 55% of ranked Medicine scientists score the same or lower than Ziding Feng, and about 45% score higher.
  • The median of the discipline falls in the 94–95 D-Index range, and Ziding Feng ranks above the median.
  • The most crowded range is 82–83 D-Index, holding 1,027 scientists (5% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 106–107 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 217 D-Index or more, 98 scientists in all (<1% of the field).

Overview

Ziding Feng is affiliated with the Fred Hutchinson Cancer Research Center in the United States. Their primary field of study is Medicine, with a strong focus on Pulmonary and Respiratory Medicine, Oncology, Epidemiology, Hepatology, and Molecular Biology. Their body of work reflects significant contributions to topics such as Liver Disease Diagnosis and Treatment, Pancreatic and Hepatic Oncology Research, Hepatocellular Carcinoma Treatment and Prognosis, Prostate Cancer Treatment and Research, Colorectal Cancer Screening and Detection, Radiomics and Machine Learning in Medical Imaging, and Statistical Methods in Clinical Trials.

The scientist's recent publications include the following papers:

  • International Liver Cancer Association (ILCA) White Paper on Biomarker Development for Hepatocellular Carcinoma, 2021, Gastroenterology
  • Conceptual Model for the Hepatocellular Carcinoma Screening Continuum: Current Status and Research Agenda, 2020, Clinical Gastroenterology and Hepatology
  • Blood-Based Biomarker Panel for Personalized Lung Cancer Risk Assessment, 2022, Journal of Clinical Oncology
  • Risk Factors for Cirrhosis in Contemporary Hepatology Practices-Findings From the Texas Hepatocellular Carcinoma Consortium Cohort, 2020, Gastroenterology
  • Multicenter Validation of Abbreviated MRI for Detecting Early-Stage Hepatocellular Carcinoma, 2023, Radiology

Frequent co-authors include:

  • Tracey L. Marsh (15 co-authored papers)
  • Amit G. Singal (11 co-authored papers)
  • Samir Hanash (10 co-authored papers)
  • Jorge A. Marrero (9 co-authored papers)
  • Jo Ann Rinaudo (9 co-authored papers)

Ziding Feng publishes regularly in journals with a notable focus on Gastroenterology, where they have 10 publications. Other frequent publication venues include the Journal of Clinical Oncology, Cancer Epidemiology Biomarkers & Prevention, Statistics in Medicine, and Cancer Research, each with four publications.

The scientist's work integrates clinical and molecular insights, emphasizing hepatocellular carcinoma and broader oncology research. Their research agenda covers cancer screening, biomarker development, imaging validation including abbreviated MRI techniques, and statistical methodologies applied in clinical trials and epidemiological studies.

Best Publications

  • Clinical and biological features associated with epidermal growth factor receptor gene mutations in lung cancers

    Hisayuki Shigematsu;Hisayuki Shigematsu;Li Lin;Takao Takahashi;Masaharu Nomura

  • Phases of Biomarker Development for Early Detection of Cancer

    Margaret Sullivan Pepe;Ruth Etzioni;Ziding Feng;John D. Potter

  • Urinary and sexual function after radical prostatectomy for clinically localized prostate cancer : The Prostate Cancer Outcomes Study

    Janet L. Stanford;Janet L. Stanford;Ziding Feng;Ann S. Hamilton;Frank D. Gilliland;Frank D. Gilliland

  • Serum Protein Fingerprinting Coupled with a Pattern-matching Algorithm Distinguishes Prostate Cancer from Benign Prostate Hyperplasia and Healthy Men

    Bao Ling Adam;Yinsheng Qu;John W. Davis;Michael D. Ward

  • Assessing Prostate Cancer Risk: Results from the Prostate Cancer Prevention Trial

    Ian M. Thompson;Donna Pauler Ankerst;Chen Chi;Phyllis J. Goodman

  • Association between Body-Mass Index and Risk of Death in More Than 1 Million Asians

    Wei Zheng;Dale F. McLerran;Betsy Rolland;Xianglan Zhang

  • α-Fetoprotein, Des-γ Carboxyprothrombin, and Lectin-Bound α-Fetoprotein in Early Hepatocellular Carcinoma

    Jorge A. Marrero;Ziding Feng;Yinghui Wang;Mindie H. Nguyen

  • Pivotal Evaluation of the Accuracy of a Biomarker Used for Classification or Prediction: Standards for Study Design

    Margaret S. Pepe;Ziding Feng;Holly Janes;Patrick M. Bossuyt

  • 5-year urinary and sexual outcomes after radical prostatectomy: results from the Prostate Cancer Outcomes Study.

    David F. Penson;Dale McLerran;Ziding Feng;Lin Li

  • Boosted Decision Tree Analysis of Surface-enhanced Laser Desorption/Ionization Mass Spectral Serum Profiles Discriminates Prostate Cancer from Noncancer Patients

    Yinsheng Qu;Bao Ling Adam;Yutaka Yasui;Michael D. Ward

  • Diagnostic Markers for Early Detection of Ovarian Cancer

    Irene Visintin;Ziding Feng;Gary Longton;David C. Ward

  • Associations of Race/Ethnicity, Education, and Dietary Intervention with the Validity and Reliability of a Food Frequency Questionnaire The Women's Health Trial Feasibility Study in Minority Populations

    Alan R. Kristal;Alan R. Kristal;Ziding Feng;Ralph J. Coates;Albert Oberman

  • Evaluation of Serum Protein Profiling by Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry for the Detection of Prostate Cancer: I. Assessment of Platform Reproducibility

    O. John Semmes;Ziding Feng;Bao Ling Adam;Lionel L. Banez

  • Optimizing endoscopic biopsy detection of early cancers in Barrett's high-grade dysplasia.

    Brian J. Reid;Patricia L. Blount;Ziding Feng;Ziding Feng;Douglas S. Levine

  • Identification of osteopontin as a novel marker for early hepatocellular carcinoma.

    Sufen Shang;Amelie Plymoth;Amelie Plymoth;Shaokui Ge;Ziding Feng

  • Smoke exposure, histologic type and geography-related differences in the methylation profiles of non-small cell lung cancer

    Shinichi Toyooka;Shinichi Toyooka;Riichiroh Maruyama;Kiyomi O. Toyooka;Dale McLerran

  • A data-analytic strategy for protein biomarker discovery: profiling of high-dimensional proteomic data for cancer detection.

    Yutaka Yasui;Margaret S. Pepe;Mary Lou Thompson;Bao-Ling Adam

  • Association between body mass index and cardiovascular disease mortality in east Asians and south Asians: pooled analysis of prospective data from the Asia Cohort Consortium

    Yu Chen;Wade K. Copeland;Rajesh Vedanthan;Eric Grant

  • Body Mass Index and Diabetes in Asia: A Cross-Sectional Pooled Analysis of 900,000 Individuals in the Asia Cohort Consortium

    Paolo Boffetta;Dale McLerran;Yu Chen;Manami Inoue

  • Serum Protein Fingerprinting Coupled with a Pattern-matching Algorithm Distinguishes Prostate Cancer from Benign Prostate Hyperplasia and Healthy Men 1

    Bao-Ling Adam;Yinsheng Qu;John W. Davis;Michael D. Ward

Frequent Co-Authors

Janet L. Stanford
Janet L. Stanford Fred Hutchinson Cancer Research Center
Daniel W. Lin
Daniel W. Lin University of Washington
Elaine A. Ostrander
Elaine A. Ostrander National Institutes of Health
Ian M. Thompson
Ian M. Thompson The University of Texas Health Science Center at San Antonio
David B. Thomas
David B. Thomas Fred Hutchinson Cancer Research Center
John D. Potter
John D. Potter Massey University
Peter S. Nelson
Peter S. Nelson Fred Hutchinson Cancer Research Center
Margaret S. Pepe
Margaret S. Pepe Fred Hutchinson Cancer Research Center
Samir M. Hanash
Samir M. Hanash The University of Texas MD Anderson Cancer Center
James D. Brooks
James D. Brooks Stanford University

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