World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
124
Citations
61313
World Ranking
3209
National Ranking
1771

Ie Ming Shih 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 Ie Ming Shih 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: 503 publications — 59th percentile

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

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

Ie Ming Shih 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 Ie Ming Shih 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: 124 D-Index — 84th percentile

84% 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:

  • Gene
  • Cancer
  • DNA

His primary areas of study are Pathology, Serous fluid, Cancer research, Ovarian cancer and Cancer. His research integrates issues of KRAS, Serous carcinoma and Adenocarcinoma in his study of Pathology. His Serous fluid research incorporates elements of Ovarian carcinoma, Fallopian tube, Carcinoma, Cystadenocarcinoma and Cystadenoma.

His work carried out in the field of Cancer research brings together such families of science as Carcinogenesis, Mutation, ARID1A, Immunology and Fluorescence in situ hybridization. His work deals with themes such as Molecular biology, Gene dosage, Gene duplication, Gene and PTEN, which intersect with Ovarian cancer. His Cancer research is multidisciplinary, incorporating perspectives in Carboplatin, Chromosome instability and Blood plasma.

His most cited work include:

  • The origin and pathogenesis of epithelial ovarian cancer: a proposed unifying theory. (1209 citations)
  • ARID1A mutations in endometriosis-associated ovarian carcinomas. (1139 citations)
  • Ovarian Tumorigenesis : A Proposed Model Based on Morphological and Molecular Genetic Analysis (967 citations)

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

Ie Ming Shih mainly focuses on Pathology, Cancer research, Ovarian cancer, Serous fluid and Cancer. His Pathology research integrates issues from Trophoblastic Tumor, Tumor progression and Placental site trophoblastic tumor. His Cancer research research incorporates themes from Gene knockdown, Carcinogenesis, Cancer cell and Mutation, ARID1A.

His biological study spans a wide range of topics, including Molecular biology and Oncology. In his study, which falls under the umbrella issue of Molecular biology, Computational biology is strongly linked to Gene. His work focuses on many connections between Serous fluid and other disciplines, such as Serous carcinoma, that overlap with his field of interest in Ovary.

He most often published in these fields:

  • Pathology (45.00%)
  • Cancer research (33.10%)
  • Ovarian cancer (32.14%)

What were the highlights of his more recent work (between 2017-2021)?

  • Cancer research (33.10%)
  • Ovarian cancer (32.14%)
  • Cancer (21.19%)

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

Ie Ming Shih focuses on Cancer research, Ovarian cancer, Cancer, Pathology and Serous fluid. His Cancer research study incorporates themes from Cancer cell, Reprogramming and Mutation. His Ovarian cancer study integrates concerns from other disciplines, such as Tumor microenvironment, Papanicolaou stain and EZH2.

The various areas that Ie Ming Shih examines in his Cancer study include Biopsy, Epigenetics and Aneuploidy. His research in Pathology intersects with topics in Personalized treatment and Bioinformatics. The Serous fluid study combines topics in areas such as Ovarian carcinoma, Computational biology and Gene.

Between 2017 and 2021, his most popular works were:

  • Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities. (142 citations)
  • Evaluation of liquid from the Papanicolaou test and other liquid biopsies for the detection of endometrial and ovarian cancers (86 citations)
  • The Origin and Pathogenesis of Endometriosis. (34 citations)

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

  • Gene
  • Cancer
  • DNA

His primary areas of investigation include Cancer research, Ovarian cancer, Cancer, Pathology and Ovarian carcinoma. His Cancer research research is multidisciplinary, relying on both Cancer cell, Chromatin remodeling and Immune system, Immunotherapy. His work on Serous carcinoma as part of general Ovarian cancer study is frequently linked to Progesterone receptor, bridging the gap between disciplines.

His studies deal with areas such as Gastroenterology, Aneuploidy and Esophagus as well as Cancer. His Pathology research is multidisciplinary, incorporating elements of Somatic cell, Endometrial cancer and Somatic evolution in cancer. The study incorporates disciplines such as Carcinoma, Serous fluid and Fallopian tube in addition to Ovarian carcinoma.

Best Publications

  • The origin and pathogenesis of epithelial ovarian cancer: a proposed unifying theory.

    Robert J. Kurman;Ie Ming Shih

  • ARID1A mutations in endometriosis-associated ovarian carcinomas.

    Kimberly C. Wiegand;Sohrab P. Shah;Osama M. Al-Agha;Yongjun Zhao

  • Ovarian Tumorigenesis : A Proposed Model Based on Morphological and Molecular Genetic Analysis

    Ie Ming Shih;Robert J. Kurman

  • TERT promoter mutations occur frequently in gliomas and a subset of tumors derived from cells with low rates of self-renewal

    Patrick J. Killela;Zachary J. Reitman;Yuchen Jiao;Chetan Bettegowda

  • Frequent mutations of chromatin remodeling gene ARID1A in ovarian clear cell carcinoma

    Siân Jones;Tian Li Wang;Ie Ming Shih;Tsui Lien Mao

  • Proteogenomic characterization of human colon and rectal cancer

    Bing Zhang;Jing Wang;Xiaojing Wang;Jing Zhu

  • Molecular pathogenesis and extraovarian origin of epithelial ovarian cancer—Shifting the paradigm

    Robert J. Kurman;Ie Ming Shih

  • Mutations in BRAF and KRAS Characterize the Development of Low-Grade Ovarian Serous Carcinoma

    Gad Singer;Robert Oldt;Yoram Cohen;Brant G. Wang

  • Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer

    Hui Zhang;Tao Liu;Zhen Zhang;Samuel H. Payne

  • The Dualistic Model of Ovarian Carcinogenesis: Revisited, Revised, and Expanded.

    Robert J. Kurman;Ie Ming Shih

  • OVARIAN LOW-GRADE AND HIGH-GRADE SEROUS CARCINOMA: Pathogenesis, Clinicopathologic and Molecular Biologic Features, and Diagnostic Problems

    Russell Vang;Ie Ming Shih;Robert J. Kurman

  • Pathogenesis of ovarian cancer: lessons from morphology and molecular biology and their clinical implications.

    Robert J. Kurman;Ie Ming Shih

  • High grade serous ovarian carcinomas originate in the fallopian tube

    S. Intidhar Labidi-Galy;S. Intidhar Labidi-Galy;Eniko Papp;Dorothy Hallberg;Noushin Niknafs;Noushin Niknafs

  • Synthetic lethality by targeting EZH2 methyltransferase activity in ARID1A -mutated cancers

    Benjamin G. Bitler;Katherine M. Aird;Azat Garipov;Hua Li

  • The role of chromosomal instability in tumor initiation.

    Martin A. Nowak;Natalia L. Komarova;Anirvan Sengupta;Prasad V. Jallepalli

  • Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities.

    Suhas Vasaikar;Chen Huang;Xiaojing Wang;Vladislav A. Petyuk

  • Cancer-Associated Mutations in Endometriosis without Cancer

    Michael S. Anglesio;Nickolas Papadopoulos;Ayse Ayhan;Tayyebeh M. Nazeran

  • Immunohistochemical staining patterns of p53 can serve as a surrogate marker for TP53 mutations in ovarian carcinoma: an immunohistochemical and nucleotide sequencing analysis

    Anna Yemelyanova;Russell Vang;Malti Kshirsagar;Dan Lu

  • National Academy of Clinical Biochemistry Laboratory Medicine Practice Guidelines for Use of Tumor Markers in Testicular, Prostate, Colorectal, Breast, and Ovarian Cancers

    Catharine M. Sturgeon;Michael J. Duffy;Ulf Håkan Stenman;Hans Lilja

  • TERT PROMOTER MUTATIONS OCCUR FREQUENTLY IN GLIOMAS AND A SUBSET OF TUMORS DERIVED FROM CELLS WITH LOW RATES OF SELF-RENEWAL

    Hai Yan;P.J. Killela;Z.J. Reitman;Y. Jiao

Frequent Co-Authors

Tian Li Wang
Tian Li Wang Johns Hopkins University
Robert J. Kurman
Robert J. Kurman Johns Hopkins University
Ben Davidson
Ben Davidson Oslo University Hospital
Yue Wang
Yue Wang Zhejiang University
Douglas A. Levine
Douglas A. Levine New York University
Robert Clarke
Robert Clarke University of Oxford
Bert Vogelstein
Bert Vogelstein Johns Hopkins University
Daniel W. Chan
Daniel W. Chan Johns Hopkins University School of Medicine
Kenneth W. Kinzler
Kenneth W. Kinzler Johns Hopkins University
Nickolas Papadopoulos
Nickolas Papadopoulos Johns Hopkins University School of Medicine

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