World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
87
Citations
35377
World Ranking
13472
National Ranking
152

Jun Ma 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 Jun Ma 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: 429 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Jun Ma 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 Jun Ma 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: 87 D-Index — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Overview

Jun Ma is affiliated with Sun Yat-sen University in China and has a significant publication record in multiple fields related to medicine and molecular biology. Their work primarily focuses on oncology, molecular biology, otorhinolaryngology, pulmonary and respiratory medicine, and surgery. The scientist's research covers a broad array of topics concentrated on cancer studies and treatments.

Their research topics include:

  • Head and Neck Cancer Studies
  • RNA modifications and cancer
  • Cancer-related molecular mechanisms research
  • Head and Neck Surgical Oncology
  • Lung Cancer Treatments and Mutations
  • Lung Cancer Research Studies
  • Cancer Immunotherapy and Biomarkers

Jun Ma's frequent coauthors include:

  • Ling-Long Tang
  • Ying Sun
  • Na Liu
  • Yan-Ping Mao
  • Lei Chen

The scientist has published extensively in journals such as:

  • Journal of Clinical Oncology
  • Radiotherapy and Oncology
  • Cancer Research
  • Nature Communications
  • Oral Oncology

Among Jun Ma's recent papers are:

  • Single-cell transcriptomics reveals regulators underlying immune cell diversity and immune subtypes associated with prognosis in nasopharyngeal carcinoma, 2020, Cell Research
  • Chemotherapy in Combination With Radiotherapy for Definitive-Intent Treatment of Stage II-IVA Nasopharyngeal Carcinoma: CSCO and ASCO Guideline, 2021, Journal of Clinical Oncology
  • The Chinese Society of Clinical Oncology (CSCO) clinical guidelines for the diagnosis and treatment of nasopharyngeal carcinoma, 2021, Cancer Communications
  • Circular RNA CRIM1 functions as a ceRNA to promote nasopharyngeal carcinoma metastasis and docetaxel chemoresistance through upregulating FOXQ1, 2020, Molecular Cancer
  • Metronomic capecitabine as adjuvant therapy in locoregionally advanced nasopharyngeal carcinoma: a multicentre, open-label, parallel-group, randomised, controlled, phase 3 trial, 2021, The Lancet

The scientist has contributed to 566 publications in medicine overall, with 270 focusing on biochemistry, genetics, and molecular biology. Within molecular biology alone, there are 175 publications attributed to their work, with oncology following at 113.

Best Publications

  • Erlotinib versus chemotherapy as first-line treatment for patients with advanced EGFR mutation-positive non-small-cell lung cancer (OPTIMAL, CTONG-0802): a multicentre, open-label, randomised, phase 3 study

    Caicun Zhou;Yi Long Wu;Gongyan Chen;Jifeng Feng

  • Induction chemotherapy plus concurrent chemoradiotherapy versus concurrent chemoradiotherapy alone in locoregionally advanced nasopharyngeal carcinoma: a phase 3, multicentre, randomised controlled trial

    Ying Sun;Wen Fei Li;Nian Yong Chen;Ning Zhang

  • Chemotherapy and radiotherapy in nasopharyngeal carcinoma: an update of the MAC-NPC meta-analysis

    Pierre Blanchard;Pierre Blanchard;Anne Lee;Sophie Marguet;Julie Leclercq

  • Gemcitabine and Cisplatin Induction Chemotherapy in Nasopharyngeal Carcinoma

    Yuan Zhang;Lei Chen;Guo-Qing Hu;Ning Zhang

  • How Does Intensity-Modulated Radiotherapy Versus Conventional Two-Dimensional Radiotherapy Influence the Treatment Results in Nasopharyngeal Carcinoma Patients?

    Shu Zhen Lai;Wen Fei Li;Lei Chen;Wei Luo

  • Concurrent chemoradiotherapy plus adjuvant chemotherapy versus concurrent chemoradiotherapy alone in patients with locoregionally advanced nasopharyngeal carcinoma: a phase 3 multicentre randomised controlled trial

    Lei Chen;Chao Su Hu;Xiao Zhong Chen;Guo Qing Hu

  • Final overall survival results from a randomised, Phase III study of erlotinib versus chemotherapy as first-line treatment of EGFR mutation-positive advanced non-small-cell lung cancer (OPTIMAL, CTONG-0802)

    Caicun Zhou;Y. L. Wu;G. Chen;J. Feng

  • Comparative safety of immune checkpoint inhibitors in cancer: systematic review and network meta-analysis

    Cheng Xu;Yu Pei Chen;Xiao Jing Du;Jin Qi Liu

  • Long Noncoding RNA FAM225A Promotes Nasopharyngeal Carcinoma Tumorigenesis and Metastasis by Acting as ceRNA to Sponge miR-590-3p/miR-1275 and Upregulate ITGB3

    Zi-Qi Zheng;Zhi-Xuan Li;Guan-Qun Zhou;Li Lin

  • Prognostic value of a microRNA signature in nasopharyngeal carcinoma: a microRNA expression analysis

    Na Liu;Nian Yong Chen;Rui Xue Cui;Wen Fei Li

  • Intensity-modulated radiotherapy prolongs the survival of patients with nasopharyngeal carcinoma compared with conventional two-dimensional radiotherapy: A 10-year experience with a large cohort and long follow-up.

    Meng Xia Zhang;Jing Li;Guo Ping Shen;Xiong Zou

  • What Is the Best Treatment of Locally Advanced Nasopharyngeal Carcinoma? An Individual Patient Data Network Meta-Analysis

    Laureen Ribassin-Majed;Sophie Marguet;Anne W.M. Lee;Wai Tong Ng

  • Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma

    Li Lin;Qi Dou;Yue Ming Jin;Guan Qun Zhou

  • Long-Term Survival After Cisplatin-Based Induction Chemotherapy and Radiotherapy for Nasopharyngeal Carcinoma: A Pooled Data Analysis of Two Phase III Trials

    Daniel T.T. Chua;Jun Ma;Jonathan S.T. Sham;Hai Qiang Mai

  • Development and validation of a gene expression-based signature to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma: a retrospective, multicentre, cohort study

    Xin Ran Tang;Ying Qin Li;Shao Bo Liang;Wei Jiang

  • Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma

    Hao Peng;Di Dong;Meng Jie Fang;Lu Li;Lu Li

  • Re-Evaluation of 6th Edition of AJCC Staging System for Nasopharyngeal Carcinoma and Proposed Improvement Based on Magnetic Resonance Imaging

    Yan Ping Mao;Fang Yun Xie;Li Zhi Liu;Ying Sun

  • Single-cell transcriptomics reveals regulators underlying immune cell diversity and immune subtypes associated with prognosis in nasopharyngeal carcinoma.

    Yu-Pei Chen;Jian-Hua Yin;Wen-Fei Li;Han-Jie Li

  • Chemotherapy in Combination With Radiotherapy for Definitive-Intent Treatment of Stage II-IVA Nasopharyngeal Carcinoma: CSCO and ASCO Guideline

    Yu-Pei Chen;Nofisat Ismaila;Melvin L K Chua;A Dimitrios Colevas

  • Genomic Analysis of Tumor Microenvironment Immune Types across 14 Solid Cancer Types: Immunotherapeutic Implications

    Yu Pei Chen;Yu Zhang;Jia Wei Lv;Ying Qin Li

Frequent Co-Authors

Ying Sun
Ying Sun Sun Yat-sen University
Richard M. Schultz
Richard M. Schultz University of Pennsylvania
Geoffrey Ye Li
Geoffrey Ye Li Imperial College London
James Versalovic
James Versalovic Baylor College of Medicine
Philip Orlik
Philip Orlik Mitsubishi Electric (United States)
Mark Ptashne
Mark Ptashne Memorial Sloan Kettering Cancer Center
Petr Svoboda
Petr Svoboda Czech Academy of Sciences
Joseph F. Petrosino
Joseph F. Petrosino Baylor College of Medicine
Mian Wu
Mian Wu University of Science and Technology of China
Michael A. Lampson
Michael A. Lampson University of Pennsylvania

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