World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
91
Citations
34724
World Ranking
11651
National Ranking
5975

John E. Tomaszewski 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 John E. Tomaszewski 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: 442 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

John E. Tomaszewski 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 John E. Tomaszewski 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

John E. Tomaszewski is affiliated with the University at Buffalo, State University of New York in the United States. Their research spans multiple fields within medicine and biochemistry, genetics, and molecular biology, with a focus on combining artificial intelligence and pathology in healthcare.

The primary fields of study in Tomaszewski's research include:

  • Medicine
  • Biochemistry, Genetics and Molecular Biology

These fields are further specialized into subfields involving:

  • Molecular Biology
  • Artificial Intelligence
  • Nephrology
  • Radiology, Nuclear Medicine and Imaging
  • Health Informatics

The main topics covered by Tomaszewski's work include:

  • AI in cancer detection
  • Single-cell and spatial transcriptomics
  • Artificial Intelligence in Healthcare and Education
  • Biomedical and Engineering Education
  • Gene expression and cancer classification
  • Renal Diseases and Glomerulopathies
  • Chronic Kidney Disease and Diabetes

Tomaszewski has contributed to various scholarly articles in well-recognized academic venues. Frequent publication outlets include:

  • Journal of the American Society of Nephrology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Transplant International
  • Scientific Reports

Recent publications authored or co-authored by Tomaszewski are:

  • "PodoSighter: A Cloud-Based Tool for Label-Free Podocyte Detection in Kidney Whole-Slide Images", 2021, Journal of the American Society of Nephrology
  • "Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments", 2023, Transplant International
  • "Discovery of Novel Digital Biomarkers for Type 2 Diabetic Nephropathy Classification via Integration of Urinary Proteomics and Pathology", 2023, bioRxiv (Cold Spring Harbor Laboratory)
  • "Investigating quantitative histological characteristics in renal pathology using HistoLens", 2024, Scientific Reports
  • "The New York State SARS-CoV-2 Testing Consortium: Regional Communication in Response to the COVID-19 Pandemic", 2021, Academic Pathology

Their research network includes frequent collaborations with several co-authors, among them:

  • Pinaki Sarder
  • Avi Z. Rosenberg
  • Yulia A. Strekalova
  • Jeffrey B. Hodgin
  • Samuel Border

Tomaszewski's research contributes to the intersection of artificial intelligence and medical sciences, particularly in nephrology and renal pathology, reflecting ongoing developments in AI-assisted diagnostics and quantitative pathology.

Best Publications

  • Biochemical Outcome After Radical Prostatectomy, External Beam Radiation Therapy, or Interstitial Radiation Therapy for Clinically Localized Prostate Cancer

    A.V. D'Amico;R. Whittington;S.B. Malkowicz;D. Schultz

  • Identification and characterization of a fibroblast marker: FSP1.

    Frank Strutz;Hirokazu Okada;Cecilia W. Lo;Theodore Danoff

  • Epithelial hypoxia-inducible factor-1 is protective in murine experimental colitis

    Jörn Karhausen;Glenn T. Furuta;John E. Tomaszewski;Randall S. Johnson

  • Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks

    Angel Cruz-Roa;Ajay Basavanhally;Fabio González;Hannah Leah Gilmore

  • Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

    Angel Cruz-Roa;Angel Cruz-Roa;Hannah Leah Gilmore;Ajay Basavanhally;Michael Feldman

  • Induction of donor-specific unresponsiveness by intrathymic islet transplantation

    Andrew M. Posselt;Clyde F. Barker;John E. Tomaszewski;James F. Markmann

  • A Multivariate Analysis of Clinical and Pathological Factors that Predict for Prostate Specific Antigen Failure after Radical Prostatectomy for Prostate Cancer

    Anthony V. D'Amico;Richard Whittington;S. Bruce Malkowicz;Delray Schultz

  • Pretreatment Nomogram for Prostate-Specific Antigen Recurrence After Radical Prostatectomy or External-Beam Radiation Therapy for Clinically Localized Prostate Cancer

    Anthony V. D'Amico;Richard Whittington;S. Bruce Malkowicz;Julie Fondurulia

  • Annexin-V imaging for noninvasive detection of cardiac allograft rejection

    Narula J;Acio Er;Narula N;Samuels Le

  • Reduction in immunosuppression as initial therapy for posttransplant lymphoproliferative disorder: analysis of prognostic variables and long-term follow-up of 42 adult patients.

    Donald E. Tsai;Christine L. Hardy;John E. Tomaszewski;Robert M. Kotloff

  • Biochemical outcome after radical prostatectomy or external beam radiation therapy for patients with clinically localized prostate carcinoma in the prostate specific antigen era.

    Anthony V. D'Amico;Richard Whittington;S. Bruce Malkowicz;Kerri Cote

  • Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology

    S. Naik;S. Doyle;S. Agner;A. Madabhushi

  • Renal Cyst Development in Mice with Conditional Inactivation of the von Hippel-Lindau Tumor Suppressor

    Erinn B. Rankin;John E. Tomaszewski;Volker H. Haase

  • Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features

    Haibo Wang;Angel Cruz-Roa;Ajay Basavanhally;Hannah Leah Gilmore

  • Renal carcinomas with the t(6;11)(p21;q12): Clinicopathologic features and demonstration of the specific alpha-TFEB gene fusion by immunohistochemistry, RT-PCR, and DNA PCR

    Pedram Argani;Marick Laé;Brian Hutchinson;Victor E. Reuter

  • Incidence of benign pathologic findings at partial nephrectomy for solitary renal mass presumed to be renal cell carcinoma on preoperative imaging

    Alexander Kutikov;Lindsay K. Fossett;Parvati Ramchandani;John E. Tomaszewski

  • Expression of prolactin and prolactin receptor in human breast carcinoma. Evidence for an autocrine/paracrine loop.

    C. V. Clevenger;Wan-Ping Chang;Winnie Ngo;T. L. M. Pasha

  • Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features

    S. Doyle;S. Agner;A. Madabhushi;M. Feldman

  • Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology

    A.N. Basavanhally;S. Ganesan;S. Agner;J.P. Monaco

  • Angiotensin II stimulates expression of the chemokine RANTES in rat glomerular endothelial cells. Role of the angiotensin type 2 receptor.

    G. Wolf;F. N. Ziyadeh;F. Thaiss;J. Tomaszewski

Frequent Co-Authors

Michael Feldman
Michael Feldman University of Pennsylvania
Anant Madabhushi
Anant Madabhushi Emory University
Alan J. Wein
Alan J. Wein University of Miami
Anthony V. D'Amico
Anthony V. D'Amico Brigham and Women's Hospital
Ali Naji
Ali Naji University of Pennsylvania
Virginia A. LiVolsi
Virginia A. LiVolsi University of Pennsylvania
Shridar Ganesan
Shridar Ganesan Rutgers, The State University of New Jersey
Mitchell D. Schnall
Mitchell D. Schnall University of Pennsylvania
Mark A. Rosen
Mark A. Rosen University of Pennsylvania
Jerome P. Richie
Jerome P. Richie Brigham and Women's Hospital

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