World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 79 1617 1537 743 699 390 35273

Bing Zhang publications per year

The chart shows the history of publications by Bing Zhang between 1996 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Bing Zhang published across 31 years, from 1996 to 2026, averaging 25.1 papers a year. Output peaked at 188 publications in 2023. 72 of the 779 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 1996 to 2026. Vertical axis: number of publications, 0 to 188. Peak 188 publications in 2023. 1996: 2 publications 1997: 1 publication 1998: 4 publications 1999: 1 publication 2000: 3 publications 2001: 2 publications 2002: 4 publications 2003: 4 publications 2004: 8 publications 2005: 2 publications 2006: 5 publications 2007: 3 publications 2008: 10 publications 2009: 4 publications 2010: 9 publications 2011: 10 publications 2012: 12 publications 2013: 24 publications 2014: 21 publications 2015: 25 publications 2016: 35 publications 2017: 28 publications 2018: 20 publications 2019: 45 publications 2020: 88 publications 2021: 55 publications 2022: 41 publications 2023: 188 publications 2024: 53 publications 2025: 71 publications 2026: 1 publication
1996 2026

779 publications in total across all disciplines

View publications per year as a table
Bing Zhang: publications per year, 1996 to 2026
Year Publications
1996 2
1997 1
1998 4
1999 1
2000 3
2001 2
2002 4
2003 4
2004 8
2005 2
2006 5
2007 3
2008 10
2009 4
2010 9
2011 10
2012 12
2013 24
2014 21
2015 25
2016 35
2017 28
2018 20
2019 45
2020 88
2021 55
2022 41
2023 188
2024 53
2025 71
2026 1
Total 779
Download as CSV

Bing Zhang publication distribution in Genetics in 2026

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

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 385–394 publications, is where this scientist sits. 45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45–54 publications 703+

This scientist: 390 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31 390
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
Download as CSV

Bing Zhang D-index placement in Genetics in 2026

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

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 78–79 D-Index, is where this scientist sits. 40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40–41 D-Index 160+

This scientist: 79 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127
78–79 127 79
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
Download as CSV

Overview

Bing Zhang is affiliated with Baylor College of Medicine in the United States. The scientist's research spans multiple areas within biochemistry, genetics, and molecular biology, with significant contributions to medicine. Their work focuses on subfields including molecular biology, cancer research, oncology, pulmonary and respiratory medicine, and spectroscopy.

The research topics Bing Zhang has covered include advanced proteomics techniques and applications, cancer genomics and diagnostics, bioinformatics and genomic networks, RNA modifications and cancer, ferroptosis and cancer prognosis, cancer-related molecular mechanisms research, and ubiquitin and proteasome pathways.

Frequent co-authors collaborating with Bing Zhang are Yongchao Dou, Jonathan T. Lei, Sara R. Savage, Henry Rodriguez, and Matthew J. Ellis. These collaborations reflect ongoing partnerships in the fields relevant to their research.

Publication venues where Bing Zhang has frequently published include Cancer Research, Cell, bioRxiv (Cold Spring Harbor Laboratory), Research Square, and Nature Communications.

Among Bing Zhang's recent papers are:

  • Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin, 2020, Cell
  • Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma, 2020, Cell
  • Proteogenomic and metabolomic characterization of human glioblastoma, 2021, Cancer Cell
  • Proteogenomic characterization of pancreatic ductal adenocarcinoma, 2021, Cell
  • Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy, 2020, Cell

Best Publications

  • WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs.

    Yuxing Liao;Jing Wang;Eric J Jaehnig;Zhiao Shi

  • WebGestalt: an integrated system for exploring gene sets in various biological contexts

    Bing Zhang;Stefan Kirov;Jay Snoddy

  • LinkedOmics: analyzing multi-omics data within and across 32 cancer types.

    Suhas V Vasaikar;Peter Straub;Jing Wang;Bing Zhang

  • WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013

    Jing Wang;Dexter T. Duncan;Zhiao Shi;Bing Zhang

  • Proteogenomics connects somatic mutations to signalling in breast cancer

    Philipp Mertins;D. R. Mani;Kelly V. Ruggles;Michael A. Gillette;Michael A. Gillette

  • Proteogenomic characterization of human colon and rectal cancer

    Bing Zhang;Jing Wang;Xiaojing Wang;Jing Zhu

  • WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit

    Jing Wang;Suhas V. Vasaikar;Zhiao Shi;Michael Greer

  • How many human proteoforms are there

    Ruedi Aebersold;Jeffrey N. Agar;I. Jonathan Amster;Mark S. Baker

  • Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer

    Hui Zhang;Tao Liu;Zhen Zhang;Samuel H. Payne

  • Integrated Proteogenomic Characterization of HBV-Related Hepatocellular Carcinoma

    Qiang Gao;Hongwen Zhu;Liangqing Dong;Weiwei Shi

  • Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma

    Michael A. Gillette;Michael A. Gillette;Shankha Satpathy;Song Cao;Saravana M. Dhanasekaran

  • Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma.

    David J. Clark;Saravana M. Dhanasekaran;Francesca Petralia;Jianbo Pan

  • Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer

    J. Joshua Smith;Natasha G. Deane;Fei Wu;Nipun B. Merchant

  • Proteogenomic and metabolomic characterization of human glioblastoma

    Liang-Bo Wang;Alla Karpova;Marina A. Gritsenko;Jennifer E. Kyle

  • Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities.

    Suhas Vasaikar;Chen Huang;Xiaojing Wang;Vladislav A. Petyuk

  • GOTree Machine (GOTM): a web-based platform for interpreting sets of interesting genes using Gene Ontology hierarchies.

    Bing Zhang;Denise Schmoyer;Stefan Kirov;Jay Snoddy

  • Detecting Differential and Correlated Protein Expression in Label-Free Shotgun Proteomics

    Bing Zhang;Nathan C. Verberkmoes;Michael A. Langston;Edward Uberbacher

  • Proteomic Parsimony through Bipartite Graph Analysis Improves Accuracy and Transparency

    Bing Zhang;Matthew C. Chambers;David L. Tabb

  • Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy.

    Karsten Krug;Eric J. Jaehnig;Shankha Satpathy;Lili Blumenberg

  • Proteogenomic characterization of pancreatic ductal adenocarcinoma

    Liwei Cao;Chen Huang;Daniel Cui Zhou;Yingwei Hu

Frequent Co-Authors

daniel c liebler
daniel c liebler Vanderbilt University
Matthew J. Ellis
Matthew J. Ellis Baylor College of Medicine
Jing Wang
Jing Wang The University of Texas MD Anderson Cancer Center
Steven A. Carr
Steven A. Carr Broad Institute
Li Ding
Li Ding Washington University in St. Louis
David Fenyö
David Fenyö New York University
Amanda G. Paulovich
Amanda G. Paulovich Fred Hutchinson Cancer Research Center
Xi Chen
Xi Chen University of California, Davis
Robert J. Coffey
Robert J. Coffey Vanderbilt University Medical Center
Pei Wang
Pei Wang Icahn School of Medicine at Mount Sinai

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Students interested in Genetics often explore related areas in healthcare and medical sciences to broaden their expertise and career options. For those seeking clinical roles, options like nursing school without teas requirements can be a convenient way to fast-track entry into patient care without additional entrance exams.

Professionals aiming for leadership or administrative positions might consider the cheapest master's in healthcare administration programs. These online degrees offer specialized management skills and are designed to be both affordable and flexible.

For those eager to enter the workforce quickly, fast track medical programs provide accelerated pathways to licensure as an LPN or other key roles in healthcare fields.

If you are interested in advancing your education to the highest level, consider pursuing online phd nursing programs that focus on advanced research and teaching careers.

Exploring these related online degrees can open up a variety of career opportunities and provide flexible options tailored to your professional goals in genetics and healthcare.

Best Scientists Citing Bing Zhang

Trending Scientists

Recently Published Articles