World's Best Scientists 2026 revealed!
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Mingyao Li

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Medicine 96 9458 8875 4879 4510 295 62535
Genetics 93 950 896 469 439 269 60889

Mingyao Li publications per year

The chart shows the history of publications by Mingyao Li between 2005 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mingyao Li published across 22 years, from 2005 to 2026, averaging 16.7 papers a year. Output peaked at 34 publications in 2023. 20 of the 367 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2005 to 2026. Vertical axis: number of publications, 0 to 34. Peak 34 publications in 2023. 2005: 3 publications 2006: 3 publications 2007: 3 publications 2008: 20 publications 2009: 16 publications 2010: 25 publications 2011: 29 publications 2012: 19 publications 2013: 20 publications 2014: 13 publications 2015: 17 publications 2016: 19 publications 2017: 14 publications 2018: 19 publications 2019: 14 publications 2020: 22 publications 2021: 22 publications 2022: 17 publications 2023: 34 publications 2024: 18 publications 2025: 18 publications 2026: 2 publications
2005 2026

367 publications in total across all disciplines

View publications per year as a table
Mingyao Li: publications per year, 2005 to 2026
Year Publications
2005 3
2006 3
2007 3
2008 20
2009 16
2010 25
2011 29
2012 19
2013 20
2014 13
2015 17
2016 19
2017 14
2018 19
2019 14
2020 22
2021 22
2022 17
2023 34
2024 18
2025 18
2026 2
Total 367
Download as CSV

Mingyao Li 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 Mingyao Li 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, 265–274 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: 269 publications — 70th percentile

70% 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 88 269
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
Download as CSV

Mingyao Li 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 Mingyao Li 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, 92–93 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: 93 D-Index — 78th percentile

78% 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
86–87 84
88–89 102
90–91 66
92–93 72 93
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

Research.com Recognitions

  • 2018 - Fellow of the American Statistical Association (ASA)

Overview

Mingyao Li is affiliated with the University of Pennsylvania in the United States. Their research spans several areas within biochemistry, genetics, molecular biology, and medicine, with a substantial focus on molecular biology, immunology, cancer research, biophysics, and genetics.

Their work is published across various venues, with a notable number of publications in bioRxiv (Cold Spring Harbor Laboratory), UNC Libraries, Cancer Research, Circulation, and Cancer Discovery. These venues reflect a concentration on both foundational biological research and its applications in disease contexts.

Mingyao Li's recent papers include:

  • "SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network" (2021, Nature Methods)
  • "Single-Cell Genomics Reveals a Novel Cell State During Smooth Muscle Cell Phenotypic Switching and Potential Therapeutic Targets for Atherosclerosis in Mouse and Human" (2020, Circulation)
  • "Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis" (2020, Nature Communications)
  • "APOE and TREM2 regulate amyloid-responsive microglia in Alzheimer's disease" (2020, Acta Neuropathologica)
  • "Adeno-Associated Virus-Induced Dorsal Root Ganglion Pathology" (2020, Human Gene Therapy)

The major topics addressed in their research involve:

  • Single-cell and spatial transcriptomics
  • Cell image analysis techniques
  • Molecular biology techniques and applications
  • Gene expression and cancer classification
  • Atherosclerosis and cardiovascular diseases
  • Cancer-related molecular mechanisms research
  • Cancer genomics and diagnostics

The scientist's frequent co-authors include:

  • Muredach P. Reilly
  • Jian Hu
  • Kyle Coleman
  • Hanying Yan
  • Edward B. Lee

The research fields Mingyao Li is actively involved in focus on:

  • Biochemistry, genetics, and molecular biology
  • Medicine

An award associated with Mingyao Li is the Fellow of the American Statistical Association (ASA), received in 2018. This recognition points to a professional engagement with the statistical community relevant to their scientific work.

Best Publications

  • ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data

    Kai Wang;Mingyao Li;Hakon Hakonarson

  • Biological, clinical and population relevance of 95 loci for blood lipids

    Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson

  • Plasma HDL cholesterol and risk of myocardial infarction: A mendelian randomisation study

    Benjamin F. Voight;Benjamin F. Voight;Benjamin F. Voight;Gina M. Peloso;Gina M. Peloso;Marju Orho-Melander;Ruth Frikke-Schmidt

  • Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease

    Heribert Schunkert;Inke R. König;Sekar Kathiresan;Muredach P. Reilly

  • PennCNV: An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data

    Kai Wang;Mingyao Li;Dexter Hadley;Rui Liu

  • A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants

    Lars G. Fritsche;Wilmar Igl;Jessica N.Cooke Bailey;Felix Grassmann

  • Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants.

    Sekar Kathiresan;Benjamin F Voight;Shaun Purcell;Kiran Musunuru

  • Pathway-Based Approaches for Analysis of Genomewide Association Studies

    Kai Wang;Mingyao Li;Maja Bucan

  • Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease

    Jihwan Park;Rojesh Shrestha;Chengxiang Qiu;Ayano Kondo

  • Analysing biological pathways in genome-wide association studies

    Kai Wang;Kai Wang;Mingyao Li;Hakon Hakonarson;Hakon Hakonarson

  • Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction

    Ron Do;Ron Do;Nathan O. Stitziel;Hong Hee Won;Hong Hee Won;Anders Berg Jørgensen

  • Meta-analysis and imputation refines the association of 15q25 with smoking quantity

    Jason Z. Liu;Federica Tozzi;Dawn M. Waterworth;Sreekumar G. Pillai

  • Bulk tissue cell type deconvolution with multi-subject single-cell expression reference

    Xuran Wang;Jihwan Park;Katalin Susztak;Nancy R. Zhang

  • Identification of ADAMTS7 as a novel locus for coronary atherosclerosis and association of ABO with myocardial infarction in the presence of coronary atherosclerosis: two genome-wide association studies

    Muredach P Reilly;Mingyao Li;Jing He;Jane F Ferguson

  • SAVER: gene expression recovery for single-cell RNA sequencing.

    Mo Huang;Jingshu Wang;Eduardo Torre;Hannah Dueck

  • Widespread RNA and DNA sequence differences in the human transcriptome.

    Mingyao Li;Isabel X. Wang;Yun Li;Alan Bruzel

  • A genome-wide meta-analysis identifies 22 loci associated with eight hematological parameters in the HaemGen consortium

    Nicole Soranzo;Nicole Soranzo;Tim D Spector;Massimo Mangino;Brigitte Kühnel

  • Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals

    Z Dastani;Hivert M-F.;Hivert M-F.;N Timpson;Perry Jrb.;Perry Jrb.

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

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

  • SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network.

    Jian Hu;Xiangjie Li;Kyle Coleman;Amelia Schroeder

Frequent Co-Authors

Muredach P. Reilly
Muredach P. Reilly Columbia University
Hakon Hakonarson
Hakon Hakonarson Children's Hospital of Philadelphia
Daniel J. Rader
Daniel J. Rader University of Pennsylvania
Struan F.A. Grant
Struan F.A. Grant University of Pennsylvania
Nilesh J. Samani
Nilesh J. Samani University of Leicester
Sekar Kathiresan
Sekar Kathiresan Harvard University
Benjamin F. Voight
Benjamin F. Voight University of Pennsylvania
L. Adrienne Cupples
L. Adrienne Cupples Boston University
Jonathan P. Bradfield
Jonathan P. Bradfield Children's Hospital of Philadelphia
Joseph T. Glessner
Joseph T. Glessner Children's Hospital of Philadelphia

External Links

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Best Scientists Citing Mingyao Li

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Publications: 282

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Publications: 278

Sekar Kathiresan

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Harvard University

Publications: 234

Bruce M. Psaty

Bruce M. Psaty

University of Washington

Publications: 218

Nilesh J. Samani

Nilesh J. Samani

University of Leicester

Publications: 204

Jerome I. Rotter

Jerome I. Rotter

UCLA Medical Center

Publications: 199

Kari Stefansson

Kari Stefansson

deCODE Genetics (Iceland)

Publications: 190

Daniel J. Rader

Daniel J. Rader

University of Pennsylvania

Publications: 189

Albert Hofman

Albert Hofman

Harvard University

Publications: 176

Mark I. McCarthy

Mark I. McCarthy

Genentech

Publications: 173

André G. Uitterlinden

André G. Uitterlinden

Erasmus University Rotterdam

Publications: 169

Mark J. Daly

Mark J. Daly

Massachusetts General Hospital

Publications: 166

Olli T. Raitakari

Olli T. Raitakari

Turku University Hospital

Publications: 159

Christopher J. O'Donnell

Christopher J. O'Donnell

Harvard Medical School

Publications: 152

Samuli Ripatti

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University of Helsinki

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Alexander P. Reiner

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