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2025

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D-Index
104
Citations
82413
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3
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Medicine

D-Index
108
Citations
94675
World Ranking
5855
National Ranking
3142

Matthew D. Hellmann 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 Matthew D. Hellmann 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: 364 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Matthew D. Hellmann 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 Matthew D. Hellmann 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: 108 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Matthew D. Hellmann is affiliated with the Memorial Sloan Kettering Cancer Center in the United States. Their research primarily focuses on oncology, with significant contributions to cancer immunotherapy, lung cancer treatments, and cancer genomics.

Their work spans several subfields including oncology, pulmonary and respiratory medicine, immunology, cancer research, and molecular biology. The main topics covered in their publications include:

  • Cancer Immunotherapy and Biomarkers
  • Lung Cancer Treatments and Mutations
  • Cancer Genomics and Diagnostics
  • CAR-T cell therapy research
  • Lung Cancer Research Studies
  • Immunotherapy and Immune Responses
  • Lung Cancer Diagnosis and Treatment

Matthew D. Hellmann has contributed research to prominent publication venues such as:

  • Cancer
  • Journal of Clinical Oncology
  • Cancer Research
  • Annals of Oncology
  • Journal of Thoracic Oncology

The following are some of the recent papers associated with their research activity, showcasing publication year and venue:

  • "Acquired Resistance to Immune Checkpoint Inhibitors," 2020, Cancer Cell
  • "Meta-analysis of tumor- and T cell-intrinsic mechanisms of sensitization to checkpoint inhibition," 2021, Cell
  • "A Phase Ib Trial of Personalized Neoantigen Therapy Plus Anti-PD-1 in Patients with Advanced Melanoma, Non-small Cell Lung Cancer, or Bladder Cancer," 2020, Cell
  • "Transcriptional programs of neoantigen-specific TIL in anti-PD-1-treated lung cancers," 2021, Nature
  • "Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction," 2020, Cell

Frequent co-authors collaborating with Matthew D. Hellmann include:

  • Hira Rizvi
  • Charles M. Rudin
  • Joel W. Neal
  • Keunchil Park
  • Andrew J. Plodkowski

Matthew D. Hellmann's work is characterized by a substantial volume of publications in the field of medicine, with 352 publications attributed to this domain. Their focused research on cancer immunotherapy and lung cancer reflects in the breadth and depth of studies contributing to the understanding and advancement of treatment strategies in these areas.

Best Publications

  • Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer

    Naiyer A. Rizvi;Naiyer A. Rizvi;Matthew D. Hellmann;Matthew D. Hellmann;Alexandra Snyder;Alexandra Snyder;Pia Kvistborg

  • Pembrolizumab for the treatment of non-small cell lung cancer

    Edward B. Garon;Naiyer A. Rizvi;Rina Hui;Natasha Leighl

  • Gut microbiome influences efficacy of PD-1–based immunotherapy against epithelial tumors

    Bertrand Routy;Bertrand Routy;Bertrand Routy;Lisa Derosa;Lisa Derosa;Lisa Derosa;Connie P. M. Duong;Connie P. M. Duong

  • Tumor mutational load predicts survival after immunotherapy across multiple cancer types.

    Robert M Samstein;Chung-Han Lee;Chung-Han Lee;Alexander N Shoushtari;Alexander N Shoushtari;Matthew D Hellmann;Matthew D Hellmann

  • Immune-Related Adverse Events Associated with Immune Checkpoint Blockade

    Michael A Postow;Robert Sidlow;Matthew D Hellmann

  • Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade

    Nicholas McGranahan;Nicholas McGranahan;Andrew J. S. Furness;Rachel Rosenthal;Sofie Ramskov

  • Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients

    Ahmet Zehir;Ryma Benayed;Ronak H Shah;Aijazuddin Syed

  • Nivolumab plus Ipilimumab in Lung Cancer with a High Tumor Mutational Burden

    Matthew D. Hellmann;Tudor-Eliade Ciuleanu;Adam Pluzanski;Jong Seok Lee

  • Nivolumab plus Ipilimumab in Advanced Non-Small-Cell Lung Cancer.

    Matthew D Hellmann;Luis Paz-Ares;Reyes Bernabe Caro;Bogdan Zurawski

  • Neoadjuvant PD-1 Blockade in Resectable Lung Cancer

    Patrick M. Forde;Jamie E. Chaft;Kellie N. Smith;Valsamo Anagnostou

  • OncoKB: A Precision Oncology Knowledge Base.

    Debyani Chakravarty;Jianjiong Gao;Sarah Phillips;Ritika Kundra

  • STK11/LKB1 Mutations and PD-1 Inhibitor Resistance in KRAS-Mutant Lung Adenocarcinoma.

    Ferdinandos Skoulidis;Michael E. Goldberg;Danielle M. Greenawalt;Matthew D. Hellmann

  • Molecular Determinants of Response to Anti-Programmed Cell Death (PD)-1 and Anti-Programmed Death-Ligand 1 (PD-L1) Blockade in Patients With Non-Small-Cell Lung Cancer Profiled With Targeted Next-Generation Sequencing.

    Hira Rizvi;Francisco Sanchez-Vega;Konnor La;Walid Chatila

  • Overall Survival and Long-Term Safety of Nivolumab (Anti–Programmed Death 1 Antibody, BMS-936558, ONO-4538) in Patients With Previously Treated Advanced Non–Small-Cell Lung Cancer

    Scott N. Gettinger;Leora Horn;Leena Gandhi;David R. Spigel

  • Genomic correlates of response to immune checkpoint therapies in clear cell renal cell carcinoma

    Diana Miao;Diana Miao;Claire A. Margolis;Claire A. Margolis;Wenhua Gao;Martin H. Voss;Martin H. Voss

  • Genomic Features of Response to Combination Immunotherapy in Patients with Advanced Non-Small-Cell Lung Cancer.

    Matthew D. Hellmann;Tavi Nathanson;Hira Rizvi;Benjamin C. Creelan

  • Pneumonitis in Patients Treated With Anti–Programmed Death-1/Programmed Death Ligand 1 Therapy

    Jarushka Naidoo;Xuan Wang;Xuan Wang;Xuan Wang;Kaitlin M. Woo;Kaitlin M. Woo;Tunc Iyriboz;Tunc Iyriboz

  • Nivolumab plus ipilimumab as first-line treatment for advanced non-small-cell lung cancer (CheckMate 012): results of an open-label, phase 1, multicohort study.

    Matthew D. Hellmann;Naiyer A. Rizvi;Jonathan W. Goldman;Scott N. Gettinger

  • Nivolumab Versus Docetaxel in Previously Treated Patients With Advanced Non-Small-Cell Lung Cancer: Two-Year Outcomes From Two Randomized, Open-Label, Phase III Trials (CheckMate 017 and CheckMate 057).

    Leora Horn;David R. Spigel;Everett E. Vokes;Esther Holgado

  • Impact of Baseline Steroids on Efficacy of Programmed Cell Death-1 and Programmed Death-Ligand 1 Blockade in Patients With Non-Small-Cell Lung Cancer

    Kathryn C. Arbour;Laura Mezquita;Niamh Long;Hira Rizvi

Frequent Co-Authors

Mark G. Kris
Mark G. Kris Memorial Sloan Kettering Cancer Center
Charles M. Rudin
Charles M. Rudin Memorial Sloan Kettering Cancer Center
Julie R. Brahmer
Julie R. Brahmer Johns Hopkins University
Jedd D. Wolchok
Jedd D. Wolchok Cornell University
Gregory J. Riely
Gregory J. Riely Memorial Sloan Kettering Cancer Center
Naiyer A. Rizvi
Naiyer A. Rizvi Columbia University Medical Center
Taha Merghoub
Taha Merghoub Cornell University
Mark M. Awad
Mark M. Awad Harvard University
Marc Ladanyi
Marc Ladanyi Memorial Sloan Kettering Cancer Center
Suresh S. Ramalingam
Suresh S. Ramalingam Emory University

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