Ming Tan

8.3k total citations · 3 hit papers
175 papers, 5.4k citations indexed

About

Ming Tan is a scholar working on Statistics and Probability, Molecular Biology and Oncology. According to data from OpenAlex, Ming Tan has authored 175 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Statistics and Probability, 32 papers in Molecular Biology and 29 papers in Oncology. Recurrent topics in Ming Tan's work include Statistical Methods and Inference (40 papers), Statistical Methods in Clinical Trials (37 papers) and Statistical Methods and Bayesian Inference (35 papers). Ming Tan is often cited by papers focused on Statistical Methods and Inference (40 papers), Statistical Methods in Clinical Trials (37 papers) and Statistical Methods and Bayesian Inference (35 papers). Ming Tan collaborates with scholars based in United States, China and Hong Kong. Ming Tan's co-authors include Yinsheng Qu, Michael Kutner, Guo‐Liang Tian, Hong‐Bin Fang, Peter X.‐K. Song, Kevin J. Cullen, Olga Goloubeva, Marshall R. Posner, Robert I. Haddad and Nicholas J. Sarlis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Ming Tan

166 papers receiving 5.2k citations

Hit Papers

Plasma phospholipids iden... 2011 2026 2016 2021 2014 2011 2018 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Plasma phospholipids identify antecedent memory impairment in older adults
    2014 782 citations Ming Tan et al. profile →
  2. Induction chemotherapy with cisplatin and fluorouracil alone or in combination with docetaxel in locally advanced squamous-cell cancer of the head and neck: long-term results of the TAX 324 randomised phase 3 trial
    2011 310 citations Jochen H. Lorch, Olga Goloubeva et al. profile →
  3. Pembrolizumab in patients with thymic carcinoma: a single-arm, single-centre, phase 2 study
    2018 277 citations Ming Tan et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming Tan 1.3k 1.1k 746 605 526 175 5.4k
Chap T. Le 1.4k 1.1× 1.7k 1.6× 252 0.3× 1.1k 1.9× 520 1.0× 166 7.7k
Balasubramanian Narasimhan 2.4k 1.9× 687 0.6× 296 0.4× 229 0.4× 409 0.8× 67 5.5k
Gerhard Hommel 592 0.5× 384 0.4× 859 1.2× 212 0.4× 526 1.0× 115 5.4k
Pei Wang 5.1k 3.9× 2.2k 2.1× 683 0.9× 320 0.5× 859 1.6× 270 10.4k
James C. Boyd 854 0.7× 576 0.5× 305 0.4× 832 1.4× 688 1.3× 103 4.7k
Debashis Ghosh 6.3k 4.8× 1.8k 1.7× 735 1.0× 306 0.5× 1.7k 3.2× 244 11.2k
Michael C. Wu 3.8k 2.9× 825 0.8× 216 0.3× 505 0.8× 462 0.9× 154 7.9k
Grier P. Page 4.3k 3.3× 542 0.5× 305 0.4× 1.2k 2.0× 925 1.8× 185 10.0k
KyungMann Kim 1.4k 1.1× 2.3k 2.1× 1.2k 1.6× 259 0.4× 1.3k 2.4× 176 6.7k
Herbert Pang 1.2k 1.0× 1.5k 1.4× 160 0.2× 435 0.7× 917 1.7× 145 5.2k

Countries citing papers authored by Ming Tan

Since Specialization
Citations

This map shows the geographic impact of Ming Tan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Tan more than expected).

Fields of papers citing papers by Ming Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Tan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Tan. The network helps show where Ming Tan may publish in the future.

Co-authorship network of co-authors of Ming Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Tan. A scholar is included among the top collaborators of Ming Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Tan. Ming Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mohebbi, Elham, Alaina L. Carr, E. Clementi, et al.. (2025). Long-term quality of life in head and neck cancer: the role of postdiagnosis smoking behavior. Journal of Cancer Survivorship.
2.
Weinberg, Benjamin A., Allison A. Fitzgerald, Zoe X. Malchiodi, et al.. (2024). Phase II trial of BXCL701 and pembrolizumab in patients with metastatic pancreatic ductal adenocarcinoma (EXPEL-PANC): Preliminary findings.. Journal of Clinical Oncology. 42(17_suppl). LBA4132–LBA4132. 2 indexed citations
3.
Pohlmann, Paula R., Deena Graham, Yvonne Ottaviano, et al.. (2022). HALT-D: a randomized open-label phase II study of crofelemer for the prevention of chemotherapy-induced diarrhea in patients with HER2-positive breast cancer receiving trastuzumab, pertuzumab, and a taxane. Breast Cancer Research and Treatment. 196(3). 571–581. 4 indexed citations
4.
Yin, Anqi, Ao Yuan, & Ming Tan. (2022). Highly robust causal semiparametric U-statistic with applications in biomedical studies. The International Journal of Biostatistics. 20(1). 69–91. 2 indexed citations
5.
Khoury, Katia, Filipa Lynce, Ana Barac, et al.. (2021). Long-term follow-up assessment of cardiac safety in SAFE-HEaRt, a clinical trial evaluating the use of HER2-targeted therapies in patients with breast cancer and compromised heart function. Breast Cancer Research and Treatment. 185(3). 863–868. 20 indexed citations
6.
Lynce, Filipa, Matthew Blackburn, Christopher Gallagher, et al.. (2021). Hematologic safety of palbociclib in combination with endocrine therapy in patients with benign ethnic neutropenia and advanced breast cancer. Cancer. 127(19). 3622–3630. 14 indexed citations
7.
Xu, Ying, et al.. (2020). A simple and improved score confidence interval for a single proportion. Communication in Statistics- Theory and Methods. 51(8). 2659–2675.
8.
Yuan, Ao, et al.. (2020). Targeted design for adaptive clinical trials via semiparametric model. The International Journal of Biostatistics. 17(2). 177–190.
9.
10.
11.
Yuan, Ao, et al.. (2015). Adaptive Design for Staggered-Start Clinical Trial. The International Journal of Biostatistics. 12(2).
12.
13.
Yu, Hua, Changwan Lu, Ming Tan, & Kamal D. Moudgil. (2011). The gene expression profile of preclinical autoimmune arthritis and its modulation by a tolerogenic disease-protective antigenic challenge. Arthritis Research & Therapy. 13(5). R143–R143. 6 indexed citations
14.
Zhao, Ling, Xueyong Shen, Ke Cheng, et al.. (2009). Validating a Nonacupoint Sham Control for Laser Treatment of Knee Osteoarthritis. Photomedicine and Laser Surgery. 28(3). 351–356. 19 indexed citations
15.
Posner, Marshall R., Lisa M. Schumaker, Ming Tan, et al.. (2009). Racial Survival Disparity in Head and Neck Cancer Results from Low Prevalence of Human Papillomavirus Infection in Black Oropharyngeal Cancer Patients. Cancer Prevention Research. 2(9). 776–781. 221 indexed citations
16.
Fang, Hong‐Bin, Zhenqiu Liu, Ming Tan, & Guo‐Liang Tian. (2009). Regularized (bridge) logistic regression for variable selection based on ROC criterion. Statistics and Its Interface. 2(4). 493–502. 7 indexed citations
17.
Ng, Kai Wang, et al.. (2009). THE NESTED DIRICHLET DISTRIBUTION AND INCOMPLETE CATEGORICAL DATA ANALYSIS. Statistica Sinica. 19(1). 251–271. 5 indexed citations
18.
Xiong, Xiaoping, Ming Tan, & James M. Boyett. (2006). A sequential procedure for monitoring clinical trials against historical controls. Statistics in Medicine. 26(7). 1497–1511. 11 indexed citations
19.
Fang, Hong‐Bin, Guo‐Liang Tian, & Ming Tan. (2004). Hierarchical Models for Tumor Xenograft Experiments in Drug Development. Journal of Biopharmaceutical Statistics. 14(4). 931–945. 10 indexed citations
20.
Qu, Yinsheng, Ming Tan, & Lisa Rybicki. (2000). A unified approach to estimating association measures via a joint generalized linear model for paired binary data. Communication in Statistics- Theory and Methods. 29(1). 143–156. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Chap T. Le Breakdown of academic impact, for papers by Balasubramanian Narasimhan Breakdown of academic impact, for papers by Gerhard Hommel Breakdown of academic impact, for papers by Pei Wang Breakdown of academic impact, for papers by James C. Boyd Breakdown of academic impact, for papers by Debashis Ghosh Breakdown of academic impact, for papers by Michael C. Wu Breakdown of academic impact, for papers by Grier P. Page Breakdown of academic impact, for papers by KyungMann Kim Breakdown of academic impact, for papers by Herbert Pang
Rankless by CCL
2026