World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
73
Citations
21385
World Ranking
19618
National Ranking
218

Ying Sun 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 Ying Sun 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: 317 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Ying Sun 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 Ying Sun 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: 73 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Ying Sun is affiliated with Sun Yat-sen University in China and has a substantial body of research primarily within the field of Medicine, with a focus on areas including Otorhinolaryngology, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, and Radiology, Nuclear Medicine and Imaging.

Their research topics cover several key areas such as Head and Neck Cancer Studies, Radiomics and Machine Learning in Medical Imaging, Lung Cancer Treatments and Mutations, Cancer Immunotherapy and Biomarkers, Advanced Radiotherapy Techniques, Cancer-related molecular mechanisms research, and Head and Neck Surgical Oncology.

Frequent coauthors in their work include Jun Ma, Guan-Qun Zhou, Ling-Long Tang, Yan-Ping Mao, and Wen-Fei Li.

The scientist has published regularly in the following venues:

  • Journal of Clinical Oncology
  • International Journal of Radiation Oncology*Biology*Physics
  • Radiotherapy and Oncology
  • Cancer Communications
  • Frontiers in Oncology

Recent notable papers by Ying Sun include:

  • 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
  • An Immune-Related Gene Prognostic Index for Head and Neck Squamous Cell Carcinoma, 2020, Clinical Cancer Research
  • Artificial intelligence for assisting cancer diagnosis and treatment in the era of precision medicine, 2021, Cancer Communications

Best Publications

  • 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

  • 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

  • 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

  • The Sinocyclocheilus cavefish genome provides insights into cave adaptation

    Junxing Yang;Xiaoli Chen;Jie Bai;Dongming Fang

  • 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

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

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

  • 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

  • Practice recommendations for risk-adapted head and neck cancer radiotherapy during the COVID-19 pandemic: an ASTRO-ESTRO consensus statement

    David J. Thomson;David Palma;Matthias Guckenberger;Panagiotis Balermpas

  • Identification and validation of novel microenvironment-based immune molecular subgroups of head and neck squamous cell carcinoma: implications for immunotherapy

    Y. P. Chen;Y. Q. Wang;J. W. Lv;Y. Q. Li

  • The Chinese Society of Clinical Oncology (CSCO) clinical guidelines for the diagnosis and treatment of nasopharyngeal carcinoma.

    Ling-Long Tang;Yu-Pei Chen;Chuan-Ben Chen;Ming-Yuan Chen

  • Additional file 5: Figure S15â S17. of The Sinocyclocheilus cavefish genome provides insights into cave adaptation

    Junxing Yang;Xiaoli Chen;Jie Bai;Dongming Fang

Frequent Co-Authors

Jun Ma
Jun Ma Harbin Institute of Technology
Jun Ma
Jun Ma Sun Yat-sen University
Byrappa Venkatesh
Byrappa Venkatesh Agency for Science, Technology and Research
Haitao Wang
Haitao Wang Nankai University
Jie Tian
Jie Tian Chinese Academy of Sciences
huanming yang
huanming yang Beijing Genomics Institute
Zhou Songyang
Zhou Songyang Sun Yat-sen University
Guangyi Fan
Guangyi Fan Beijing Genomics Institute
Xun Xu
Xun Xu Beijing Genomics Institute
Nancy Y. Lee
Nancy Y. Lee Memorial Sloan Kettering Cancer Center

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