World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
105
Citations
42831
World Ranking
6745
National Ranking
3561

Laura J. Esserman 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 Laura J. Esserman 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: 770 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Laura J. Esserman 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 Laura J. Esserman 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: 105 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Laura J. Esserman is affiliated with the University of California, San Francisco in the United States. Their research primarily focuses on medicine, with significant contributions in biochemistry, genetics, and molecular biology. Within these fields, their work addresses oncology, cancer research, radiology, nuclear medicine, medical imaging, pulmonary and respiratory medicine, as well as pathology and forensic medicine.

The scientist's research covers a range of main topics, including breast cancer treatment studies, cancer genomics and diagnostics, radiomics and machine learning in medical imaging, HER2/EGFR in cancer research, advanced breast cancer therapies, breast lesions and carcinomas, and cancer immunotherapy and biomarkers.

Frequent co-authors collaborating with Laura J. Esserman include Christina Yau, Laura van 't Veer, Gillian L. Hirst, Nola M. Hylton, and Angela DeMichele.

Their publications are commonly found in notable venues such as Cancer Research, Journal of Clinical Oncology, npj Breast Cancer, Annals of Surgical Oncology, and bioRxiv (Cold Spring Harbor Laboratory).

Some of their recent papers include:

  • Effect of Pembrolizumab Plus Neoadjuvant Chemotherapy on Pathologic Complete Response in Women With Early-Stage Breast Cancer, 2020, JAMA Oncology
  • Personalized early detection and prevention of breast cancer: ENVISION consensus statement, 2020, Nature Reviews Clinical Oncology
  • Circulating tumor DNA in neoadjuvant-treated breast cancer reflects response and survival, 2020, Annals of Oncology
  • Durvalumab with olaparib and paclitaxel for high-risk HER2-negative stage II/III breast cancer: Results from the adaptively randomized I-SPY2 trial, 2021, Cancer Cell
  • Redefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies, 2022, Cancer Cell

Best Publications

  • Genomic and transcriptional aberrations linked to breast cancer pathophysiologies.

    Koei Chin;Sandy DeVries;Jane Fridlyand;Paul T. Spellman

  • Whole-genome analysis informs breast cancer response to aromatase inhibition

    Matthew J. Ellis;Li Ding;Dong Shen;Jingqin Luo

  • Risk-adapted targeted intraoperative radiotherapy versus whole-breast radiotherapy for breast cancer: 5-year results for local control and overall survival from the TARGIT-A randomised trial

    Jayant S Vaidya;Jayant S Vaidya;Frederik Wenz;Max Bulsara;Jeffrey S Tobias

  • Targeted intraoperative radiotherapy versus whole breast radiotherapy for breast cancer (TARGIT-A trial): an international, prospective, randomised, non-inferiority phase 3 trial

    Jayant S Vaidya;David J Joseph;Jeffrey S Tobias;Max Bulsara

  • I‐SPY 2: An Adaptive Breast Cancer Trial Design in the Setting of Neoadjuvant Chemotherapy

    AD Barker;CC Sigman;GJ Kelloff;NM Hylton

  • Breast Cancer Follow-Up and Management After Primary Treatment: American Society of Clinical Oncology Clinical Practice Guideline Update

    James L. Khatcheressian;Patricia Hurley;Elissa Bantug;Laura J. Esserman

  • A Genomic Predictor of Response and Survival Following Taxane-Anthracycline Chemotherapy for Invasive Breast Cancer

    Christos Hatzis;Lajos Pusztai;Vicente Valero;Daniel J. Booser

  • Rethinking screening for breast cancer and prostate cancer

    Laura Esserman;Yiwey Shieh;Ian Thompson

  • Randomized Phase II Neoadjuvant Comparison Between Letrozole, Anastrozole, and Exemestane for Postmenopausal Women With Estrogen Receptor–Rich Stage 2 to 3 Breast Cancer: Clinical and Biomarker Outcomes and Predictive Value of the Baseline PAM50-Based Intrinsic Subtype—ACOSOG Z1031

    Matthew J. Ellis;Vera J. Suman;Jeremy Hoog;Li Lin

  • Overdiagnosis and Overtreatment in Cancer: An Opportunity for Improvement

    Laura J. Esserman;Ian M. Thompson;Brian Reid

  • Effect of Pembrolizumab Plus Neoadjuvant Chemotherapy on Pathologic Complete Response in Women With Early-Stage Breast Cancer: An Analysis of the Ongoing Phase 2 Adaptively Randomized I-SPY2 Trial

    Rita Nanda;Minetta C Liu;Christina Yau;Rebecca Shatsky

  • Adaptive Randomization of Veliparib–Carboplatin Treatment in Breast Cancer

    Hope S. Rugo;Olufunmilayo I. Olopade;Angela DeMichele;Christina Yau

  • The Human Tumor Atlas Network: Charting Tumor Transitions Across Space and Time at Single-Cell Resolution

    Orit Rozenblatt-Rosen;Aviv Regev;Aviv Regev;Aviv Regev;Philipp Oberdoerffer;Tal Nawy

  • Addressing overdiagnosis and overtreatment in cancer: a prescription for change

    Laura J Esserman;Ian M Thompson;Brian Reid;Peter Nelson

  • Leukocyte composition of human breast cancer

    Brian Ruffell;Alfred Au;Hope S. Rugo;Laura J. Esserman

  • Utility of magnetic resonance imaging in the management of breast cancer: evidence for improved preoperative staging.

    Laura Esserman;Nola Hylton;Leila Yassa;John Barclay

  • Locally Advanced Breast Cancer: MR Imaging for Prediction of Response to Neoadjuvant Chemotherapy—Results from ACRIN 6657/I-SPY TRIAL

    Nola M. Hylton;Jeffrey D. Blume;Wanda K. Bernreuter;Etta D. Pisano

  • Pathologic Complete Response Predicts Recurrence-Free Survival More Effectively by Cancer Subset: Results From the I-SPY 1 TRIAL—CALGB 150007/150012, ACRIN 6657

    Laura J. Esserman;Donald A. Berry;Angela DeMichele;Lisa Carey

  • Breast Cancer Growth Prevention by Statins

    Michael J. Campbell;Laura J. Esserman;Yamei Zhou;Mark Shoemaker

  • Genomic andtranscriptional aberrations linked tobreastcancer pathophysiologies

    Koei Chin;Sandy DeVries;Jane Fridlyand;Paul T. Spellman

Frequent Co-Authors

Christina Yau
Christina Yau University of California, San Francisco
Laura J. van't Veer
Laura J. van't Veer University of California, San Francisco
Donald A. Berry
Donald A. Berry The University of Texas MD Anderson Cancer Center
Hope S. Rugo
Hope S. Rugo University of California, San Francisco
Angela DeMichele
Angela DeMichele University of Pennsylvania
Douglas Yee
Douglas Yee University of Minnesota
John W. Park
John W. Park University of California, San Francisco
Judy C. Boughey
Judy C. Boughey Mayo Clinic
Dan H. Moore
Dan H. Moore University of California, San Francisco
Kathy S. Albain
Kathy S. Albain Loyola University Chicago

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