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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 84 1348 1277 638 598 241 33094

Peng Jin publications per year

The chart shows the history of publications by Peng Jin between 1997 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Peng Jin published across 30 years, from 1997 to 2026, averaging 10.9 papers a year. Output peaked at 26 publications in 2022. 20 of the 326 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1997 to 2026. Vertical axis: number of publications, 0 to 26. Peak 26 publications in 2022. 1997: 1 publication 1998: 3 publications 1999: 0 publications 2000: 2 publications 2001: 3 publications 2002: 1 publication 2003: 3 publications 2004: 2 publications 2005: 5 publications 2006: 2 publications 2007: 13 publications 2008: 8 publications 2009: 7 publications 2010: 12 publications 2011: 8 publications 2012: 21 publications 2013: 14 publications 2014: 18 publications 2015: 18 publications 2016: 22 publications 2017: 13 publications 2018: 14 publications 2019: 13 publications 2020: 14 publications 2021: 25 publications 2022: 26 publications 2023: 20 publications 2024: 18 publications 2025: 19 publications 2026: 1 publication
1997 2026

326 publications in total across all disciplines

View publications per year as a table
Peng Jin: publications per year, 1997 to 2026
Year Publications
1997 1
1998 3
1999 0
2000 2
2001 3
2002 1
2003 3
2004 2
2005 5
2006 2
2007 13
2008 8
2009 7
2010 12
2011 8
2012 21
2013 14
2014 18
2015 18
2016 22
2017 13
2018 14
2019 13
2020 14
2021 25
2022 26
2023 20
2024 18
2025 19
2026 1
Total 326
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Peng Jin publications per year - data summary

  • Peng Jin, a Genetics scholar from Emory University, has 326 publications recorded across 30 years, from 1997 to 2026.
  • The oldest publication on record dates to 1997 and the most recent to 2026.
  • The most productive year is 2022, with 26 publications.
  • The least productive years with any output are 1997, 2002 and 2026, with 1 publication each.
  • 1 of the 30 years in the span carries no publications at all (1999).
  • The rate of publication averages 10.9 papers per year over the whole span, or 11.2 per year counting only the 29 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 84 publications, 26% of the career total.
  • Split into equal eras - 1997-2006: 22 publications (2.2 per year); 2007-2016: 141 publications (14.1 per year); 2017-2026: 163 publications (16.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Peng Jin 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 Peng Jin 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, 235–244 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: 241 publications — 64th percentile

64% 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
235–244 105 241
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
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
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Peng Jin publication distribution in Genetics in 2026 - data summary

  • The chart plots the publication count of all 4,342 Genetics scientists ranked by Research.com in 2026, grouped into 67 ranges running from 45–54 to 703+ publications.
  • Peng Jin, a Genetics scholar from Emory University, records 241 publications - the 64th percentile of the discipline.
  • 64% of ranked Genetics scientists score the same or lower than Peng Jin, and about 36% score higher.
  • The median of the discipline falls in the 195–204 publications range, and Peng Jin ranks above the median.
  • The most crowded range is 125–134 publications, holding 217 scientists (5% of the field).
  • 56% of the field sits in the lowest quarter of the value range (up to 205–214 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 703 publications or more, 100 scientists in all (2% of the field).

Peng Jin 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 Peng Jin 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, 84–85 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: 84 D-Index — 69th percentile

69% 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
80–81 111
82–83 110
84–85 110 84
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
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Peng Jin D-index placement in Genetics in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 4,342 Genetics scientists ranked by Research.com in 2026, grouped into 61 ranges running from 40–41 to 160+ D-Index.
  • Peng Jin, a Genetics scholar from Emory University, records 84 D-Index - the 69th percentile of the discipline.
  • 69% of ranked Genetics scientists score the same or lower than Peng Jin, and about 31% score higher.
  • The median of the discipline falls in the 70–71 D-Index range, and Peng Jin ranks above the median.
  • The most crowded range is 62–63 D-Index, holding 191 scientists (4% of the field).
  • 51% of the field sits in the lowest quarter of the value range (up to 70–71 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 160 D-Index or more, 96 scientists in all (2% of the field).

Research.com Recognitions

  • 2006 - Fellow of Alfred P. Sloan Foundation

Overview

Peng Jin is affiliated with Emory University in the United States and has an extensive research output primarily in the fields of biochemistry, genetics, and molecular biology. Their work spans a broad range of subfields including molecular biology, genetics, cancer research, immunology, and neurology.

The main topics covered by Peng Jin's research include:

  • RNA modifications and cancer
  • Genetics and neurodevelopmental disorders
  • Epigenetics and DNA methylation
  • RNA research and splicing
  • Cancer-related molecular mechanisms research
  • Genetic neurodegenerative diseases
  • Cancer-related gene regulation

Peng Jin has published numerous scientific papers, appearing frequently in venues such as bioRxiv (Cold Spring Harbor Laboratory), Human Molecular Genetics, Nature Communications, Bioinformatics, and Nature Neuroscience. Significant recent papers include:

  • "N6-methyladenosine dynamics in neurodevelopment and aging, and its potential role in Alzheimer's disease," 2021, Genome Biology
  • "A human forebrain organoid model of fragile X syndrome exhibits altered neurogenesis and highlights new treatment strategies," 2021, Nature Neuroscience
  • "scRNA-seq of gastric tumor shows complex intercellular interaction with an alternative T cell exhaustion trajectory," 2022, Nature Communications
  • "Characterization and visualization of tandem repeats at genome scale," 2024, Nature Biotechnology
  • "Proteomic and lipidomic analysis of exosomes derived from ovarian cancer cells and ovarian surface epithelial cells," 2020, Journal of Ovarian Research

Frequent co-authors associated with Peng Jin's work include:

  • Emily G. Allen
  • Andrew M. Shafik
  • Yujing Li
  • Hao Wu
  • Feiran Zhang

Peng Jin's publication venues reflect a consistent contribution to both well-established journals and high-impact multidisciplinary journals, highlighting a focus on molecular genetics and neuroscience.

In recognition of scientific contributions, Peng Jin was named a Fellow of the Alfred P. Sloan Foundation in 2006.

Best Publications

  • Brain-Region-Specific Organoids Using Mini-bioreactors for Modeling ZIKV Exposure

    Xuyu Qian;Ha Nam Nguyen;Mingxi M. Song;Christopher Hadiono

  • Zika Virus Infects Human Cortical Neural Progenitors and Attenuates Their Growth

    Hengli Tang;Christy Hammack;Sarah C. Ogden;Zhexing Wen

  • Microarray Identification of FMRP-Associated Brain mRNAs and Altered mRNA Translational Profiles in Fragile X Syndrome

    Victoria Brown;Victoria Brown;Peng Jin;Peng Jin;Stephanie Ceman;Stephanie Ceman;Jennifer C. Darnell

  • Selective chemical labeling reveals the genome-wide distribution of 5-hydroxymethylcytosine

    Chun Xiao Song;Keith E. Szulwach;Ye Fu;Qing Dai

  • Fragile X Mental Retardation Protein Targets G Quartet mRNAs Important for Neuronal Function

    Jennifer C. Darnell;Kirk B. Jensen;Peng Jin;Victoria Brown

  • Base-Resolution Analysis of 5-Hydroxymethylcytosine in the Mammalian Genome

    Miao Yu;Gary C. Hon;Keith E. Szulwach;Chun Xiao Song

  • 5-hmC–mediated epigenetic dynamics during postnatal neurodevelopment and aging

    Keith E. Szulwach;Xuekun Li;Yujing Li;Chun Xiao Song

  • Biochemical and genetic interaction between the fragile X mental retardation protein and the microRNA pathway

    Peng Jin;Daniela C Zarnescu;Stephanie Ceman;Stephanie Ceman;Mika Nakamoto

  • Temporal Control of Mammalian Cortical Neurogenesis by m6A Methylation

    Ki Jun Yoon;Francisca Rojas Ringeling;Caroline Vissers;Fadi Jacob

  • Genome-wide Profiling of 5-Formylcytosine Reveals Its Roles in Epigenetic Priming

    Chun-Xiao Song;Keith E. Szulwach;Qing Dai;Ye Fu

  • Cross talk between microRNA and epigenetic regulation in adult neurogenesis.

    Keith E. Szulwach;Xuekun Li;Richard D. Smrt;Yujing Li

  • Single nucleotide polymorphism associated with mature miR-125a alters the processing of pri-miRNA

    Ranhui Duan;ChangHui Pak;Peng Jin

  • Understanding the molecular basis of fragile X syndrome

    Peng Jin;Stephen T. Warren

  • MicroRNA miR-137 regulates neuronal maturation by targeting ubiquitin ligase Mind Bomb-1

    Richard D. Smrt;Keith E. Szulwach;Rebecca L. Pfeiffer;Xuekun Li

  • RNA and microRNAs in fragile X mental retardation.

    Peng Jin;Reid S. Alisch;Stephen T. Warren

  • Phosphoglycerate mutase 1 coordinates glycolysis and biosynthesis to promote tumor growth.

    Taro Hitosugi;Lu Zhou;Shannon Elf;Jun Fan

  • CRISPR/Cas9-mediated gene editing ameliorates neurotoxicity in mouse model of Huntington’s disease

    Su Yang;Renbao Chang;Renbao Chang;Huiming Yang;Ting Zhao

  • RNA-mediated neurodegeneration caused by the fragile X premutation rCGG repeats in Drosophila.

    Peng Jin;Daniela C. Zarnescu;Fuping Zhang;Christopher E. Pearson

  • Expanded GGGGCC repeat RNA associated with amyotrophic lateral sclerosis and frontotemporal dementia causes neurodegeneration

    Zihui Xu;Mickael Poidevin;Xuekun Li;Yujing Li

  • RNA-binding proteins hnRNP A2/B1 and CUGBP1 suppress fragile X CGG premutation repeat-induced neurodegeneration in a Drosophila model of FXTAS

    Oyinkan A. Sofola;Peng Jin;Yunlong Qin;Ranhui Duan

Frequent Co-Authors

Chuan He
Chuan He University of Chicago
Stephen T. Warren
Stephen T. Warren Emory University
Hongjun Song
Hongjun Song University of Pennsylvania
Mingjiang Xu
Mingjiang Xu National Institutes of Health
Guo Li Ming
Guo Li Ming University of Pennsylvania
Zhaohui S. Qin
Zhaohui S. Qin Emory University
Feng Chun Yang
Feng Chun Yang The University of Texas Health Science Center at San Antonio
David L. Nelson
David L. Nelson Baylor College of Medicine
Qing Dai
Qing Dai University of Chicago
Xinyu Zhao
Xinyu Zhao University of Wisconsin–Madison

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