Ming C. Wang

945 citations
11 papers · 751 · h-index 8

Impact in

Papers in

Ming C. Wang

11 papers receiving 663 citations

Peers

Ming C. Wang
Comparison fields: 5 of 82
  • Pulmonary and Respiratory Medicine 374
  • Rheumatology 144
  • Urology 30
  • Cancer Research 71
  • Endocrinology, Diabetes and Metabolism 63
Replace Wang Mc with:
Wang Mc United States
Chu Tm United States
Peter N. Brawn United States
Edith Huland Germany
Cynthia Kuk Canada
Ole P. Børmer Norway
Mark C. Markowski United States
Thorsten Ecke Germany
Donnah Jones United States
John Naitoh United States
Ming C. Wang relative to Wang Mc United States Wang Mc's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ming C. Wang

Since Specialization
Citations

This map shows the geographic impact of Ming C. 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 C. 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 C. Wang more than expected).

Fields of papers citing papers by Ming C. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Ming C. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming C. Wang Line = papers co-authored together Ming C. Wang links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1981312
2
Use of human prostate-specific antigen in monitoring prostate cancer.
1981153
3
Cytidine 5'-triphosphate synthetase as a target for inhibition by the antitumor agent 3-deazauridine.
197497
4 198486
5 198142
6 195727
7 200911
8 198411
9 19906
10 19905
11 19821

About Ming C. Wang

Ming C. Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 11 papers that have together received 751 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (2 papers), Statistical and Computational Modeling (2 papers), Cancer, Lipids, and Metabolism (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Advanced Statistical Methods and Models (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Ubiquitin and proteasome pathways (1 paper) and Xenotransplantation and immune response (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (374 citations), Rheumatology (144 citations), Urology (30 citations), Cancer Research (71 citations) and Endocrinology, Diabetes and Metabolism (63 citations). Ming C. Wang has collaborated with scholars based in United States. Frequent co-authors include Gerald P. Murphy, T. Ming Chu, Azorides R. Morales, Seyed Ziaeddin Tabei, Albert Castro, Mehrdad Nadji, T. Ming Chu, Rueyming Loor, Alexander Bloch and Richard P. McPartland. Their work appears in journals such as Biochemical and Biophysical Research Communications, Oncology, Urologic Clinics of North America, Cancer Letters and Cancer.

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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