Ming Wang

5.3k total citations · 1 hit paper
212 papers, 3.2k citations indexed

About

Ming Wang is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Ming Wang has authored 212 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Pulmonary and Respiratory Medicine, 38 papers in Oncology and 29 papers in Molecular Biology. Recurrent topics in Ming Wang's work include Statistical Methods and Inference (22 papers), Statistical Methods and Bayesian Inference (17 papers) and Gastrointestinal Tumor Research and Treatment (14 papers). Ming Wang is often cited by papers focused on Statistical Methods and Inference (22 papers), Statistical Methods and Bayesian Inference (17 papers) and Gastrointestinal Tumor Research and Treatment (14 papers). Ming Wang collaborates with scholars based in United States, China and Myanmar. Ming Wang's co-authors include Nicholas G. Zaorsky, Vernon M. Chinchilli, Qiao Li, Lijun Zhang, Jianghua Chen, Jing Zhao, Eric J. Lehrer, Nan Zhang, Long Qi and Zheng Li and has published in prestigious journals such as Advanced Materials, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Ming Wang

193 papers receiving 3.2k citations

Hit Papers

Causes of death among people living with metastatic cancer 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming Wang United States 30 547 508 436 404 356 212 3.2k
Alok Dwivedi United States 33 462 0.8× 427 0.8× 379 0.9× 594 1.5× 508 1.4× 235 4.1k
Christoph Meier Switzerland 37 497 0.9× 925 1.8× 712 1.6× 590 1.5× 687 1.9× 166 5.3k
Ping Yin China 38 268 0.5× 596 1.2× 529 1.2× 506 1.3× 463 1.3× 248 4.7k
David Hervás Spain 32 413 0.8× 1.0k 2.0× 693 1.6× 484 1.2× 477 1.3× 199 3.7k
Peng Wang China 32 581 1.1× 843 1.7× 909 2.1× 526 1.3× 616 1.7× 257 4.5k
Chenyu Sun China 30 753 1.4× 650 1.3× 438 1.0× 549 1.4× 265 0.7× 224 3.5k
Jessica Barrett United Kingdom 23 488 0.9× 330 0.6× 657 1.5× 235 0.6× 412 1.2× 67 3.9k
Rui Feng United States 35 511 0.9× 654 1.3× 482 1.1× 277 0.7× 738 2.1× 160 3.2k
Ali‐Asghar Kolahi Iran 33 612 1.1× 603 1.2× 798 1.8× 333 0.8× 510 1.4× 178 6.3k
G. Lu United Kingdom 10 496 0.9× 244 0.5× 725 1.7× 381 0.9× 492 1.4× 13 4.6k

Countries citing papers authored by Ming Wang

Since Specialization
Citations

This map shows the geographic impact of Ming Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wang more than expected).

Fields of papers citing papers by Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Wang. 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 Wang. The network helps show where Ming Wang may publish in the future.

Co-authorship network of co-authors of Ming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Wang. A scholar is included among the top collaborators of Ming Wang 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 Wang. Ming Wang 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
2.
Adams, Samuel B., Michael Li, Ming Wang, et al.. (2025). The interconnection between androgen receptor and DNA damage response pathways in prostate cancer. Current Urology. 19(6). 376–387.
3.
Hymel, Kent P., Christopher L. Carroll, Terra N. Frazier, et al.. (2024). Validation of the PediBIRN-7 clinical prediction rule for pediatric abusive head trauma. Child Abuse & Neglect. 152. 106799–106799.
4.
Jia, Mingming, Lin Zhang, Mao Wang, et al.. (2024). Mapping mangrove functional traits from Sentinel-2 imagery based on hybrid models coupled with active learning strategies. International Journal of Applied Earth Observation and Geoinformation. 130. 103905–103905. 5 indexed citations
5.
Zhang, Zhehui, Yongjun Hu, Ming Wang, et al.. (2024). Regeneration of virus-free plants from undeveloped ovules of seedless citrus cultivars: a practical approach for combating citrus viral diseases. SHILAP Revista de lepidopterología. 2(1). 1 indexed citations
7.
Tian, Shuai, et al.. (2023). Analysis of impact and absorbed energy of Fritillaria ussuriensis maxim during drum screening and its effect on impact damage. Computers and Electronics in Agriculture. 215. 108368–108368. 1 indexed citations
8.
Khunsriraksakul, Chachrit, Vonn Walter, Larissa Nekhlyudov, et al.. (2023). Future trends in incidence and long-term survival of metastatic cancer in the United States. SHILAP Revista de lepidopterología. 3(1). 76–76. 24 indexed citations
9.
Wilson, Robin Taylor, Susan E. Safford, Quinn T. Ostrom, et al.. (2023). Genetic Factors Associated with Absolute and Relative Plasma Concentrations of Calcitriol. Cancer Epidemiology Biomarkers & Prevention. 32(5). 697–707. 1 indexed citations
10.
Wang, Ming & Qi Long. (2022). Addressing Common Misuses and Pitfalls of P values in Biomedical Research. Cancer Research. 82(15). 2674–2677. 6 indexed citations
11.
Wang, Ming, Fan Yang, Ming Xiang, Feng Yang, & Tong Wu. (2022). Design of molecular structure for commercial polyethylene100 pipe. Journal of Polymer Research. 29(3). 4 indexed citations
12.
Tchelebi, Leila T., Ming Wang, Eric J. Lehrer, et al.. (2021). Radiotherapy and Receptor Tyrosine Kinase Inhibition for Solid Cancers (ROCKIT): A Meta-Analysis of 13 Studies. JNCI Cancer Spectrum. 5(4). 15 indexed citations
13.
Chen, Han, Ming Wang, Yu Wei, et al.. (2021). The prognostic and clinicopathological significance of Tim-3 and PD-1 expression in the prognosis of upper urinary tract urothelial carcinoma. Urologic Oncology Seminars and Original Investigations. 39(11). 743–753. 7 indexed citations
14.
Jia, Bei, Kevin Rakszawski, David F. Claxton, et al.. (2019). Eomes+T-betlow CD8+ T Cells Are Functionally Impaired and Are Associated with Poor Clinical Outcome in Patients with Acute Myeloid Leukemia. Cancer Research. 79(7). 1635–1645. 48 indexed citations
15.
Li, Jian, Ming Wang, Bo Zhang, et al.. (2018). Chinese consensus on management of tyrosine kinase inhibitor-associated side effects in gastrointestinal stromal tumors. World Journal of Gastroenterology. 24(46). 5189–5202. 10 indexed citations
16.
Chow, Pizza Ka Yee, Lisa A. Leaver, Ming Wang, & Stephen E. G. Lea. (2017). Touch screen assays of behavioural flexibility and error characteristics in Eastern grey squirrels (Sciurus carolinensis). Animal Cognition. 20(3). 459–471. 9 indexed citations
17.
Hymel, Kent P., Bruce E. Herman, Sandeep K. Narang, et al.. (2015). Potential Impact of a Validated Screening Tool for Pediatric Abusive Head Trauma. The Journal of Pediatrics. 167(6). 1375–1381.e1. 15 indexed citations
18.
Wang, Ming, Xiaoyang Zhu, Liang Wang, & Yu Lin. (2015). Expression and Significance of CDC25B, PED/PEA-15 in Esophageal Carcinoma. Cancer Biotherapy and Radiopharmaceuticals. 30(3). 139–145. 9 indexed citations
19.
Wang, Ming, et al.. (2011). ANALYSIS OF TWO-PHASE PERCOLATION OF FRACTURED HORIZONTAL WELLS IN LOW PERMEABILITY OIL RESERVOIRS. Lixue yu shijian. 33(1). 66–69. 1 indexed citations
20.
Wang, Ming. (2010). Calculation of effective startup degree of non-Darcy flow in low or ultra-low permeability reservoirs. Acta Petrologica Sinica. 9 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.

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