World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
92
Citations
29402
World Ranking
11360
National Ranking
1079

Philippa J. Talmud 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 Philippa J. Talmud 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: 611 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: 373 publications — 33rd percentile

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

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

Philippa J. Talmud 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 Philippa J. Talmud 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: 400 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: 92 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Overview

Philippa J. Talmud is affiliated with University College London in the United Kingdom. Their research focuses primarily on the field of Biochemistry, Genetics and Molecular Biology, with particular emphasis on Cancer Research and Genetics as key subfields.

The main topics covered in their scientific work include:

  • Genetic Associations and Epidemiology
  • Cancer, Lipids, and Metabolism
  • Cancer-related molecular mechanisms research

Among their recent publications, one notable paper is titled "Candidate-Gene Studies of the Atherogenic Lipoprotein Phenotype: A Sib-Pair Linkage Analysis of DZ Women Twins", published in 2020 by UNC Libraries.

Philippa J. Talmud has collaborated with several coauthors across their research outputs. Frequent collaborators include:

  • Melissa A. Austin
  • Le-Ahn Luong
  • Lema Haddad
  • Ian N.M. Day
  • Beth Newman

Their work is primarily published in venues such as UNC Libraries, which is recorded as a frequent publication platform.

Best Publications

  • The interleukin-6 receptor as a target for prevention of coronary heart disease: a mendelian randomisation analysis.

    D I Swerdlow;M V Holmes;K B Kuchenbaecker

  • Identification of seven loci affecting mean telomere length and their association with disease

    Veryan Codd;Christopher P Nelson;Eva Albrecht;Massimo Mangino

  • Triglyceride-mediated pathways and coronary disease : collaborative analysis of 101 studies

    N Sarwar;M S Sandhu

  • Association between alcohol and cardiovascular disease:Mendelian randomisation analysis based on individual participant data

    Michael V Holmes;Michael V Holmes;Caroline E Dale;Luisa Zuccolo;Richard J Silverwood

  • Human gene for physical performance

    H. E. Montgomery;R. Marshall;H. Hemingway;S. Myerson

  • Gene ontology annotations and resources

    Blake Ja;Dolan M;Drabkin H

  • Use of low-density lipoprotein cholesterol gene score to distinguish patients with polygenic and monogenic familial hypercholesterolaemia: a case-control study

    Philippa J Talmud;Sonia Shah;Ros Whittall;Marta Futema

  • The Gene Ontology in 2010: Extensions and refinements

    Tanya Z. Berardini;Varsha K. Khodiyar;Ruth C. Lovering;Philippa Talmud

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

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

  • Relative contribution of variation within the APOC3/A4/A5 gene cluster in determining plasma triglycerides

    Philippa J. Talmud;Emma Hawe;Steve Martin;Michael Olivier

  • Association of angiotensin-converting enzyme gene I/D polymorphism with change in left ventricular mass in response to physical training.

    Hugh E. Montgomery;Peter Clarkson;Clare M. Dollery;Krishna Prasad

  • Cholesteryl Ester Transfer Protein TaqIB Variant, High-Density Lipoprotein Cholesterol Levels, Cardiovascular Risk, and Efficacy of Pravastatin Treatment Individual Patient Meta-Analysis of 13 677 Subjects

    S.M. Boekholdt;F.M. Sacks;J.W. Jukema;J. Shepherd

  • Effect modification by population dietary folate on the association between MTHFR genotype, homocysteine, and stroke risk: a meta-analysis of genetic studies and randomised trials.

    Michael V. Holmes;Paul Newcombe;Paul Newcombe;Jaroslav A. Hubacek;Reecha Sofat

  • Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study

    Philippa J Talmud;Aroon D Hingorani;Jackie A Cooper;Michael G Marmot

  • ApoE Polymorphism and Fish Oil Supplementation in Subjects With an Atherogenic Lipoprotein Phenotype

    Anne M. Minihane;Syrah Khan;Elizabeth C. Leigh-Firbank;Philippa Talmud

  • Association of telomere length with type 2 diabetes, oxidative stress and UCP2 gene variation.

    Klelia D. Salpea;Philippa J. Talmud;Jackie A. Cooper;Cecilia G. Maubaret

  • Apolipoprotein E4 and coronary heart disease in middle-aged men who smoke: a prospective study

    Steve E. Humphries;Philippa J. Talmud;Emma Hawe;Manjeet Bolla

  • Nonfasting Apolipoprotein B and Triglyceride Levels as a Useful Predictor of Coronary Heart Disease Risk in Middle-Aged UK Men

    Philippa J. Talmud;Emma Hawe;George J. Miller;Steve E. Humphries

  • Large-Scale Gene-Centric Meta-analysis across 32 Studies Identifies Multiple Lipid Loci

    Folkert W. Asselbergs;Yiran Guo;Yiran Guo;Erik P A Van Iperen;Suthesh Sivapalaratnam

  • HMG-COENZYME A REDUCTASE INHIBITION, TYPE 2 DIABETES, AND BODYWEIGHT: EVIDENCE FROM GENETIC ANALYSIS AND RANDOMISED TRIALS

    D Swerdlow;D Preiss;A D Hingorani;N Sattar

Frequent Co-Authors

Steve E. Humphries
Steve E. Humphries University College London
Aroon D. Hingorani
Aroon D. Hingorani University College London
Meena Kumari
Meena Kumari University of Essex
Jackie A. Cooper
Jackie A. Cooper University College London
Mika Kivimäki
Mika Kivimäki University College London
Juan P. Casas
Juan P. Casas Boston University
John C. Whittaker
John C. Whittaker Grinnell College
Nicholas J. Wareham
Nicholas J. Wareham University of Cambridge
Kay-Tee Khaw
Kay-Tee Khaw University of Cambridge
Debbie A. Lawlor
Debbie A. Lawlor University of Bristol

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