World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
91
Citations
33110
World Ranking
11688
National Ranking
5994

Laura H. Tang 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 H. Tang 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: 336 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Laura H. Tang 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 H. Tang 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: 91 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Laura H. Tang is affiliated with the Memorial Sloan Kettering Cancer Center in the United States. Their research primarily spans the field of Medicine, with a focused emphasis on Pulmonary and Respiratory Medicine, Surgery, Oncology, Molecular Biology, and Epidemiology.

The main research topics covered by Tang include:

  • Gastric Cancer Management and Outcomes
  • Esophageal Cancer Research and Treatment
  • Cancer Immunotherapy and Biomarkers
  • Pancreatic and Hepatic Oncology Research
  • Genetic factors in colorectal cancer
  • Gastrointestinal Tumor Research and Treatment
  • Metastasis and carcinoma case studies

Recent significant publications authored or co-authored by Laura H. Tang include:

  • Personalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer (2023), published in Nature
  • Treatment of Locally Advanced Esophageal Carcinoma: ASCO Guideline (2020), published in Journal of Clinical Oncology
  • Validation of a digital pathology system including remote review during the COVID-19 pandemic (2020), published in Modern Pathology
  • Reprogrammed Schwann Cells Organize into Dynamic Tracks that Promote Pancreatic Cancer Invasion (2022), published in Cancer Discovery
  • A Consensus-Developed Morphological Re-Evaluation of 196 High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms and Its Clinical Correlations (2020), published in Neuroendocrinology

Tang frequently publishes in venues such as the Journal of Clinical Oncology, Annals of Surgery, Annals of Surgical Oncology, bioRxiv (Cold Spring Harbor Laboratory), and Modern Pathology.

Frequent collaborators include researchers with multiple joint publications:

  • Yelena Y. Janjigian (48 collaborations)
  • Vivian E. Strong (45 collaborations)
  • Steven B. Maron (34 collaborations)
  • Geoffrey Y. Ku (31 collaborations)
  • Daniel G. Coit (26 collaborations)

Best Publications

  • Comprehensive molecular characterization of gastric adenocarcinoma

    Adam J. Bass;Vesteinn Thorsson;Ilya Shmulevich;Sheila M. Reynolds

  • Daxx/atrx, men1, and mtor pathway genes are frequently altered in pancreatic neuroendocrine tumors

    Yuchen Jiao;Chanjuan Shi;Barish H. Edil;Roeland F. De Wilde

  • Small cell and large cell neuroendocrine carcinomas of the pancreas are genetically similar and distinct from well-differentiated pancreatic neuroendocrine tumors

    Shinichi Yachida;Efsevia Vakiani;Catherine M. White;Yi Zhong

  • The high-grade (WHO G3) pancreatic neuroendocrine tumor category is morphologically and biologically heterogenous and includes both well differentiated and poorly differentiated neoplasms.

    Olca Basturk;Zhaohai Yang;Laura H. Tang;Ralph H. Hruban

  • Clinically Aggressive Solid Pseudopapillary Tumors of the Pancreas: A Report of Two Cases With Components of Undifferentiated Carcinoma and a Comparative Clinicopathologic Analysis of 34 Conventional Cases

    Laura H Tang;Hakan Aydin;Murray F Brennan;David S Klimstra

  • Pathology reporting of neuroendocrine tumors: application of the Delphic consensus process to the development of a minimum pathology data set

    David S. Klimstra;Irvin R. Modlin;N. Volkan Adsay;Runjan Chetty

  • Effect of tumor heterogeneity on the assessment of Ki67 labeling index in well-differentiated neuroendocrine tumors metastatic to the liver: implications for prognostic stratification.

    Zhaohai Yang;Laura H. Tang;David S. Klimstra

  • A Practical Approach to the Classification of WHO Grade 3 (G3) Well-differentiated Neuroendocrine Tumor (WD-NET) and Poorly Differentiated Neuroendocrine Carcinoma (PD-NEC) of the Pancreas.

    Laura H. Tang;Olca Basturk;Jillian J. Sue;David S. Klimstra

  • Prognosis of metastatic gastric and gastroesophageal junction cancer by HER2 status: a European and USA International collaborative analysis

    Y.Y. Janjigian;D. Werner;C. Pauligk;K. Steinmetz

  • Survival after Resection of Pancreatic Adenocarcinoma: Results from a Single Institution over Three Decades

    Jordan M. Winter;Murray F. Brennan;Laura H. Tang;Michael I. D’Angelica

  • Small-Cell Carcinomas of the Gastrointestinal Tract: A Review

    Baruch Brenner;Laura H. Tang;David S. Klimstra;David P. Kelsen

  • HER2 Testing and Clinical Decision Making in Gastroesophageal Adenocarcinoma: Guideline From the College of American Pathologists, American Society for Clinical Pathology, and the American Society of Clinical Oncology

    Angela N. Bartley;Mary Kay Washington;Carol Colasacco;Christina B. Ventura

  • Negative regulation of tumor suppressor p53 by microRNA miR-504.

    Wenwei Hu;Chang S. Chan;Rui Wu;Cen Zhang

  • Pathologic classification and clinical behavior of the spectrum of goblet cell carcinoid tumors of the appendix.

    Laura H Tang;Jinru Shia;Robert A Soslow;Deepti Dhall

  • Molecular Classification of Gastric Cancer: A New Paradigm

    Manish A Shah;Raya Khanin;Laura H Tang;Yelena Y. Janjigian

  • The North American Neuroendocrine Tumor Society Consensus Guidelines for Surveillance and Medical Management of Midgut Neuroendocrine Tumors.

    Jonathan R. Strosberg;Thorvardur R. Halfdanarson;Andrew M. Bellizzi;Jennifer A. Chan

  • Genetic Predictors of Response to Systemic Therapy in Esophagogastric Cancer.

    Yelena Y. Janjigian;Francisco Sanchez-Vega;Philip Jonsson;Walid K. Chatila

  • Objective quantification of the Ki67 proliferative index in neuroendocrine tumors of the gastroenteropancreatic system: a comparison of digital image analysis with manual methods.

    Laura H. Tang;Mithat Gonen;Cyrus Hedvat;Irvin M. Modlin

  • Well-Differentiated Neuroendocrine Tumors with a Morphologically Apparent High-Grade Component: A Pathway Distinct from Poorly Differentiated Neuroendocrine Carcinomas

    Laura H. Tang;Brian R. Untch;Diane L Reidy;Eileen Eileen O'Reilly

  • Pancreatic Adenocarcinoma: The Actual 5-Year Survivors

    Cristina R. Ferrone;Murray F. Brennan;Mithat Gonen;Daniel G. Coit

Frequent Co-Authors

David S. Klimstra
David S. Klimstra Yale University
Murray F. Brennan
Murray F. Brennan Memorial Sloan Kettering Cancer Center
David P. Kelsen
David P. Kelsen Memorial Sloan Kettering Cancer Center
Daniel G. Coit
Daniel G. Coit Memorial Sloan Kettering Cancer Center
Peter J. Allen
Peter J. Allen Duke University
Manish A. Shah
Manish A. Shah Cornell University
Mithat Gonen
Mithat Gonen Memorial Sloan Kettering Cancer Center
Irvin M. Modlin
Irvin M. Modlin Yale University
William R. Jarnagin
William R. Jarnagin Memorial Sloan Kettering Cancer Center
Jinru Shia
Jinru Shia Memorial Sloan Kettering Cancer Center

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