World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
77
Citations
18693
World Ranking
18536
National Ranking
615

Ross Lazarus publication distribution in Medicine in 2026

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

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 610 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 179 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Ross Lazarus D-index placement in Medicine in 2026

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

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 399 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 77 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Gene
  • Statistics

Ross Lazarus spends much of his time researching Single-nucleotide polymorphism, Genetics, Internal medicine, Linkage disequilibrium and Data science. His studies deal with areas such as Asthma, Immunology, Haplotype and Cohort as well as Single-nucleotide polymorphism. Within one scientific family, Ross Lazarus focuses on topics pertaining to Endocrinology under Internal medicine, and may sometimes address concerns connected to FEV1/FVC ratio.

His studies examine the connections between Linkage disequilibrium and genetics, as well as such issues in Genome-wide association study, with regards to Genetic determinism, Methylenetetrahydrofolate reductase, Vitamin B12 and Homocysteine. His work on Web service expands to the thematically related Data science. His research on SNP frequently links to adjacent areas such as Bioinformatics.

His most cited work include:

  • Galaxy: A Web‐Based Genome Analysis Tool for Experimentalists (1199 citations)
  • Galaxy: A Web‐Based Genome Analysis Tool for Experimentalists (1199 citations)
  • Predicting Flu Trends using Twitter data (324 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Genetics, Single-nucleotide polymorphism, Immunology, Asthma and Internal medicine. His study in Genetic variation, Genome-wide association study, Allele frequency, Genotype and Gene falls under the purview of Genetics. His research integrates issues of Haplotype and Candidate gene in his study of Single-nucleotide polymorphism.

As part of one scientific family, Ross Lazarus deals mainly with the area of Immunology, narrowing it down to issues related to the Intensive care, and often Respiratory disease. Many of his studies on Asthma apply to Pharmacogenetics as well. His Internal medicine study deals with Endocrinology intersecting with FEV1/FVC ratio and Vital capacity.

He most often published in these fields:

  • Genetics (25.76%)
  • Single-nucleotide polymorphism (23.74%)
  • Immunology (23.74%)

What were the highlights of his more recent work (between 2010-2020)?

  • Transcriptome (8.08%)
  • Gene expression (9.09%)
  • Genetics (25.76%)

In recent papers he was focusing on the following fields of study:

Transcriptome, Gene expression, Genetics, Cell biology and Internal medicine are his primary areas of study. His Transcriptome study incorporates themes from Inflammation, Immunology, Endurance training, Skeletal muscle and Innate immune system. His Immunology research is multidisciplinary, incorporating perspectives in Pharmacogenetics and Single-nucleotide polymorphism.

His Genetics study frequently links to adjacent areas such as Computational biology. His work in Internal medicine covers topics such as Endocrinology which are related to areas like Respiratory burst. While the research belongs to areas of Leukocyte migration, Ross Lazarus spends his time largely on the problem of Bioinformatics, intersecting his research to questions surrounding Gene.

Between 2010 and 2020, his most popular works were:

  • Predicting Flu Trends using Twitter data (324 citations)
  • Genomewide association between GLCCI1 and response to glucocorticoid therapy in asthma (280 citations)
  • Automated Detection and Classification of Type 1 Versus Type 2 Diabetes Using Electronic Health Record Data (101 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Gene
  • Statistics

His primary areas of investigation include Gene expression, Cell biology, Transcriptome, Gene and Genotype. His research in Gene expression intersects with topics in RNA and Replicate. His Cell biology research is multidisciplinary, relying on both Proinflammatory cytokine and Receptor, Innate immune system.

His Transcriptome research incorporates themes from Immune system, Immunology and Endurance training. His work is connected to SNP, Linkage disequilibrium, Pharmacogenetics and Single-nucleotide polymorphism, as a part of Genotype. His study connects Bioinformatics and SNP.

Best Publications

  • Galaxy: A Web‐Based Genome Analysis Tool for Experimentalists

    Daniel Blankenberg;Gregory Von Kuster;Nathaniel Coraor;Guruprasad Ananda

  • Relation of Academic Performance to Physical Activity and Fitness in Children

    Terence Dwyer;James F. Sallis;Leigh Blizzard;Ross Lazarus

  • Predicting Flu Trends using Twitter data

    Harshavardhan Achrekar;Avinash Gandhe;Ross Lazarus;Ssu-Hsin Yu

  • Effects of Obesity and Fat Distribution on Ventilatory Function: The Normative Aging Study

    Ross Lazarus;David Sparrow;Scott T. Weiss

  • Genomewide association between GLCCI1 and response to glucocorticoid therapy in asthma

    Kelan Tantisira;Jessica A. Lasky Lasky-Su;Michishige Harada;Amy Murphy

  • Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system

    Qing Treitler Zeng;Sergey Goryachev;Scott Weiss;Margarita Sordo

  • Corticosteroid pharmacogenetics: association of sequence variants in CRHR1 with improved lung function in asthmatics treated with inhaled corticosteroids

    Kelan G. Tantisira;Stephen Lake;Eric S. Silverman;Lyle J. Palmer

  • Genome-wide Association Analysis Identifies PDE4D as an Asthma-Susceptibility Gene

    Blanca E. Himes;Gary M. Hunninghake;James W. Baurley;Nicholas M. Rafaels

  • Association of vitamin D receptor gene polymorphisms with childhood and adult asthma.

    Benjamin A. Raby;Ross Lazarus;Edwin K. Silverman;Steven Lake

  • Single-nucleotide polymorphisms in the Toll-like receptor 9 gene (TLR9): Frequencies, pairwise linkage disequilibrium, and haplotypes in three U.S. ethnic groups and exploratory case-control disease association studies

    Ross Lazarus;Walter T. Klimecki;Benjamin A. Raby;Donata Vercelli

  • Single nucleotide polymorphisms in innate immunity genes: abundant variation and potential role in complex human disease.

    Ross Lazarus;Donata Vercelli;Lyle J. Palmer;Lyle J. Palmer;Walt J. Klimecki

  • Association of common CRP gene variants with CRP levels and cardiovascular events.

    D. T. Miller;R. Y. L. Zee;R. Y. L. Zee;J. Suk Danik;J. Suk Danik;P. Kozlowski;P. Kozlowski

  • Effects of body composition and fat distribution on ventilatory function in adults.

    R Lazarus;C J Gore;M Booth;N Owen

  • Distributed health data networks: a practical and preferred approach to multi-institutional evaluations of comparative effectiveness, safety, and quality of care.

    Jeffrey Stuart Brown;John H. Holmes;Kiran Shah;Ken Hall

  • Body mass index in screening for adiposity in children and adolescents: systematic evaluation using receiver operating characteristic curves.

    Ross Lazarus;Louise Baur;Karen Webb;Fiona Blyth

  • Alcohol Intake and Insulin Levels: The Normative Aging Study

    Ross Lazarus;David Sparrow;Scott T. Weiss

  • Using automated medical records for rapid identification of illness syndromes (syndromic surveillance): the example of lower respiratory infection

    Ross Lazarus;Ross Lazarus;Ken Paul Kleinman;Inna Dashevsky;Alfred DeMaria

  • A generalized linear mixed models approach for detecting incident clusters of disease in small areas, with an application to biological terrorism.

    Kenneth Kleinman;Ross Lazarus;Richard Platt

  • A risk allele for focal segmental glomerulosclerosis in African Americans is located within a region containing APOL1 and MYH9

    Giulio Genovese;Giulio Genovese;Stephen Tonna;Stephen Tonna;Andrea Uscinski Knob;Gerald B. Appel

  • Minimal haplotype tagging

    Paola Sebastiani;Ross Lazarus;Scott T. Weiss;Louis M. Kunkel

Frequent Co-Authors

Scott T. Weiss
Scott T. Weiss Harvard University
Edwin K. Silverman
Edwin K. Silverman Brigham and Women's Hospital
Benjamin A. Raby
Benjamin A. Raby Brigham and Women's Hospital
Richard Platt
Richard Platt Harvard University
Christoph Lange
Christoph Lange University of Lübeck
Barbara J. Klanderman
Barbara J. Klanderman Harvard University
Kelan G. Tantisira
Kelan G. Tantisira University of California, San Diego
David J. Kwiatkowski
David J. Kwiatkowski Brigham and Women's Hospital
Augusto A. Litonjua
Augusto A. Litonjua University of Rochester Medical Center
Jessica Lasky-Su
Jessica Lasky-Su Brigham and Women's Hospital

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