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Rising Stars
2025

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Rising Stars

D-Index
71
Citations
36068
World Ranking
72
National Ranking
7

Genetics

D-Index
76
Citations
37127
World Ranking
1792
National Ranking
821

Yingchang Lu 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 Yingchang Lu sits on this spectrum.

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 publications 703+

This scientist: 156 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Yingchang Lu 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 Yingchang Lu sits on this spectrum.

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 D-Index 160+

This scientist: 76 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Yingchang Lu is affiliated with Vanderbilt University in the United States. Their research primarily focuses on the fields of Biochemistry, Genetics and Molecular Biology, with a significant number of publications also in Medicine.

Their subfields of study include Genetics, Molecular Biology, Pathology and Forensic Medicine, Sensory Systems, and Physiology.

Key topics addressed in Lu's work are Genetic Associations and Epidemiology, Hearing, Cochlea, Tinnitus, Genetics, Genetic factors in colorectal cancer, Nutrition, Genetics, and Disease, RNA modifications and cancer, Birth, Development, and Health, and Genetic Mapping and Diversity in Plants and Animals.

Lu has published extensively, with frequent contributions to publication venues including UNC Libraries, Nature Genetics, bioRxiv (Cold Spring Harbor Laboratory), Diabetes, and Nature Medicine.

Some recent papers authored or co-authored by Lu include:

  • Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data, 2022, Nature Genetics
  • Large-scale genome-wide association study of coronary artery disease in genetically diverse populations, 2022, Nature Medicine
  • Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals, 2020, Nature Genetics
  • Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries, 2022, Nature Genetics
  • Evaluating the Utility of Polygenic Risk Scores in Identifying High-Risk Individuals for Eight Common Cancers, 2020, JNCI Cancer Spectrum

Frequent co-authors contributing to Lu's research include Ruth J. F. Loos, Xiuqing Guo, Erwin P. Böttinger, Jerome I. Rotter, and Chen-Chi Wu.

Best Publications

  • A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease

    M Nikpay;A Goel;Won H-H.;L M Hall

  • Defining the role of common variation in the genomic and biological architecture of adult human height

    Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam

  • Genetic studies of body mass index yield new insights for obesity biology

    Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice

  • Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.

    Evangelos Evangelou;Evangelos Evangelou;Helen R. Warren;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsud

  • The genetic architecture of type 2 diabetes

    Christian Fuchsberger;Christian Fuchsberger;Jason A. Flannick;Jason A. Flannick;Tanya M. Teslovich;Anubha Mahajan

  • Genetic analyses of diverse populations improves discovery for complex traits

    Genevieve L. Wojcik;Mariaelisa Graff;Katherine K. Nishimura;Ran Tao

  • Loss-of-function mutations in APOC3, triglycerides, and coronary disease

    Jacy Crosby;Gina M. Peloso;Gina M. Peloso;Paul L. Auer;David R. Crosslin

  • Multi-Ethnic Genome-wide Association Study for Atrial Fibrillation

    Carolina Roselli;Mark D. Chaffin;Lu Chen Weng;Lu Chen Weng;Stefanie Aeschbacher

  • An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans

    Robert A. Scott;Laura J. Scott;Reedik Mägi;Letizia Marullo

  • A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease

    Majid Nikpay;Anuj Goel;Hong-Hee Won;Leanne M. Hall

  • The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

    Thomas W. Winkler;Anne E. Justice;Mariaelisa Graff;Llilda Barata

  • Association analyses based on false discovery rate implicate new loci for coronary artery disease.

    Christopher P Nelson;Christopher P Nelson;Anuj Goel;Anuj Goel;Adam S Butterworth;Stavroula Kanoni

  • Exome-wide association study of plasma lipids in > 300,000 individuals

    Dajiang J Liu;Gina M Peloso;Gina M Peloso;Haojie Yu;Adam S Butterworth;Adam S Butterworth

  • Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk

    Helen R Warren;Evangelos Evangelou;Evangelos Evangelou;Claudia P Cabrera;He Gao

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

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

  • Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease

    Nathan O. Stitziel;Kathleen E. Stirrups;Nicholas G. D. Masca;Jeanette Erdmann

  • 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

  • Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

    Anubha Mahajan;Jennifer Wessel;Sara M. Willems;Wei Zhao

  • Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

    Evangelos Evangelou;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsu

  • The genetic architecture of type 2 diabetes

    Christian Fuchsberger;Jason Flannick;Tanya M. Teslovich;Anubha Mahajan

Frequent Co-Authors

Ruth J. F. Loos
Ruth J. F. Loos University of Copenhagen
Erwin P. Bottinger
Erwin P. Bottinger Hasso Plattner Institute
Tonu Esko
Tonu Esko University of Tartu
Andrew P. Morris
Andrew P. Morris University of Liverpool
Erik Ingelsson
Erik Ingelsson Stanford University
John C. Chambers
John C. Chambers Guy's and St Thomas' NHS Foundation Trust
Cecilia M. Lindgren
Cecilia M. Lindgren University of Oxford
Jaspal S. Kooner
Jaspal S. Kooner Imperial College London
Daniel I. Chasman
Daniel I. Chasman Brigham and Women's Hospital
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston

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