World's Best Scientists 2026 revealed!
Jer-Yuarn Wu

Jer-Yuarn Wu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 63 2841 2693 5 5 217 23961

Jer-Yuarn Wu publications per year

The chart shows the history of publications by Jer-Yuarn Wu between 1991 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jer-Yuarn Wu published across 36 years, from 1991 to 2026, averaging 6.7 papers a year. Output peaked at 20 publications in 2001. 2 of the 241 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1991 to 2026. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2001. 1991: 1 publication 1992: 1 publication 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 3 publications 1997: 3 publications 1998: 3 publications 1999: 7 publications 2000: 15 publications 2001: 20 publications 2002: 9 publications 2003: 4 publications 2004: 9 publications 2005: 6 publications 2006: 10 publications 2007: 7 publications 2008: 7 publications 2009: 10 publications 2010: 10 publications 2011: 9 publications 2012: 12 publications 2013: 11 publications 2014: 14 publications 2015: 13 publications 2016: 15 publications 2017: 15 publications 2018: 5 publications 2019: 5 publications 2020: 6 publications 2021: 8 publications 2022: 0 publications 2023: 0 publications 2024: 1 publication 2025: 1 publication 2026: 1 publication
1991 2026

241 publications in total across all disciplines

View publications per year as a table
Jer-Yuarn Wu: publications per year, 1991 to 2026
Year Publications
1991 1
1992 1
1993 0
1994 0
1995 0
1996 3
1997 3
1998 3
1999 7
2000 15
2001 20
2002 9
2003 4
2004 9
2005 6
2006 10
2007 7
2008 7
2009 10
2010 10
2011 9
2012 12
2013 11
2014 14
2015 13
2016 15
2017 15
2018 5
2019 5
2020 6
2021 8
2022 0
2023 0
2024 1
2025 1
2026 1
Total 241
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Jer-Yuarn Wu 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 Jer-Yuarn Wu 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, 215–224 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: 217 publications — 56th percentile

56% 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
215–224 134 217
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
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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Jer-Yuarn Wu 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 Jer-Yuarn Wu 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, 62–63 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: 63 D-Index — 35th percentile

35% 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 63
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
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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Overview

Jer-Yuarn Wu is affiliated with Academia Sinica in Taiwan and specializes in research spanning biochemistry, genetics, molecular biology, and medicine. Their work notably intersects genetics and molecular biology with clinical aspects of nephrology and pathology. The scientist's research emphasizes the genetic and molecular mechanisms underlying renal diseases, spine pathology, and pluripotent stem cell biology.

Wu has contributed to several recent papers addressing topics such as genetic associations, renal diseases, genetic syndromes, CRISPR, pluripotent stem cells, biomedical ethics, and spine pathology. Notable publications include:

  • "Kidney multiome-based genetic scorecard reveals convergent coding and regulatory variants," 2025, Science
  • "Copy number variant hotspots in Han Taiwanese population induced pluripotent stem cell lines - lessons from establishing the Taiwan human disease iPSC Consortium Bank," 2020, Journal of Biomedical Science
  • "Role of IL3RA in a Family with Lumbar Spinal Stenosis," 2024, International Journal of Molecular Sciences

The scientist frequently collaborates with other researchers including Chien-Hsiun Chen, Luca A. Lotta, John D. Overton, Hongbo Liu, and Amin Abedini. These collaborations span studies in genetics, molecular biology, and disease-related molecular research.

Wu's work has been published in a range of venues such as the journal Science, the Journal of Biomedical Science, and the International Journal of Molecular Sciences.

Research topics central to Wu's profile include:

  • Genetic Associations and Epidemiology
  • Renal Diseases and Glomerulopathies
  • Genetic Syndromes and Imprinting
  • CRISPR and Genetic Engineering
  • Pluripotent Stem Cells Research
  • Biomedical Ethics and Regulation
  • Spine and Intervertebral Disc Pathology

Main fields of study for Wu's research are biochemistry, genetics, molecular biology, and medicine, with subfields including genetics, molecular biology, nephrology, physiology, and pathology and forensic medicine.

Best Publications

  • Medical genetics: A marker for Stevens-Johnson syndrome

    Wen-Hung Chung;Shuen-Iu Hung;Hong-Shang Hong;Mo-Song Hsih

  • HLA-B*5801 allele as a genetic marker for severe cutaneous adverse reactions caused by allopurinol

    Shuen Lu Hung;Wen Hung Chung;Wen Hung Chung;Wen Hung Chung;Lieh Bang Liou;Chen Chung Chu

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

  • Granulysin is a key mediator for disseminated keratinocyte death in Stevens-Johnson syndrome and toxic epidermal necrolysis

    Wen-Hung Chung;Wen-Hung Chung;Shuen-Iu Hung;Shuen-Iu Hung;Jui-Yung Yang;Shih-Chi Su

  • The trans-ancestral genomic architecture of glycemic traits

    Ji Chen;Ji Chen;Cassandra N. Spracklen;Cassandra N. Spracklen;Gaëlle Marenne;Gaëlle Marenne;Arushi Varshney

  • Mapping human genetic diversity in Asia

    Mahmood Ameen Abdulla;Ikhlak Ahmed;Anunchai Assawamakin;Anunchai Assawamakin;Jong Bhak

  • Carbamazepine-Induced Toxic Effects and HLA-B*1502 Screening in Taiwan

    Pei Chen;Juei-Jueng Lin;Chin-Song Lu;Chin-Song Lu;Cheung-Ter Ong

  • Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians

    Yoon Shin Cho;Chien Hsiun Chen;Chien Hsiun Chen;Cheng Hu;Jirong Long

  • A novel functional VKORC1 promoter polymorphism is associated with inter-individual and inter-ethnic differences in warfarin sensitivity

    Hsiang-Yu Yuan;Jin-Jer Chen;M.T. Michael Lee;Ju-Chieh Wung

  • Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians

    Norihiro Kato;Fumihiko Takeuchi;Yasuharu Tabara;Tanika N. Kelly

  • Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

    Cristian Pattaro;Alexander Teumer;Mathias Gorski;Audrey Y. Chu

  • PSORS2 Is Due to Mutations in CARD14

    Catherine T. Jordan;Li Cao;Elisha D.O. Roberson;Katherine C. Pierson

  • Meta-analysis identifies common variants associated with body mass index in east Asians

    Wanqing Wen;Yoon Shin Cho;Wei Zheng;Rajkumar Dorajoo;Rajkumar Dorajoo

  • Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis

    Eleanor Wheeler;Aaron Leong;Ching-Ti Liu;Marie-France Hivert

  • Genome-wide association study identifies FCGR2A as a susceptibility locus for Kawasaki disease.

    Chiea Chuen Khor;Chiea Chuen Khor;Sonia Davila;Sonia Davila;Willemijn B. Breunis;Yi Ching Lee

  • A Genome-Wide Association Study Identifies Susceptibility Variants for Type 2 Diabetes in Han Chinese

    Fuu Jen Tsai;Chi Fan Yang;Ching Chu Chen;Lee Ming Chuang

  • Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation

    Norihiro Kato;Marie Loh;Marie Loh;Marie Loh;Fumihiko Takeuchi;Niek Verweij

  • Identification of type 2 diabetes loci in 433,540 East Asian individuals

    Cassandra N Spracklen;Cassandra N Spracklen;Momoko Horikoshi;Young Jin Kim;Kuang Lin

  • Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

    Mahajan A;Spracklen Cn;Zhang W;Ng Mc

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

Frequent Co-Authors

Yuan-Tsong Chen
Yuan-Tsong Chen Harbor–UCLA Medical Center
Fuu Jen Tsai
Fuu Jen Tsai China Medical University
Chang Hai Tsai
Chang Hai Tsai Asian University
Tien Yin Wong
Tien Yin Wong Tsinghua University
Shuen-Iu Hung
Shuen-Iu Hung National Yang Ming University
Jianjun Liu
Jianjun Liu Genome Institute of Singapore
Norihiro Kato
Norihiro Kato National Center For Global Health and Medicine
Fumihiko Takeuchi
Fumihiko Takeuchi Juntendo University
Tin Aung
Tin Aung National University of Singapore
Yik Ying Teo
Yik Ying Teo National University of Singapore

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