Fangming Wang

616 citations
33 papers · 439 · h-index 13

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

Fangming Wang

31 papers receiving 435 citations

Peers

Fangming Wang
Comparison fields: 5 of 97
  • Cancer Research 73
  • Immunology 93
  • Oncology 101
  • Pulmonary and Respiratory Medicine 63
  • Urology 10
Replace Yong Jiang with:
Yong Jiang China
Won Seo Park South Korea
Ghulam M. Chaudhry United States
Atsushi Koizumi Japan
Ahmad Jalili Iran
Chun Gui China
Hideaki Nakamura Japan
Chao‐Hui Chang United Kingdom
Andrew Cooke United Kingdom
Fangming Wang relative to Yong Jiang China Yong Jiang's profile →
Citations per field
00.5×1.5×2.4×
Yong Jiang · 1×
Citations per year

Countries citing papers authored by Fangming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fangming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fangming 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 Fangming Wang Line = papers co-authored together Fangming Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201854
2 202250
3 202236
4 201434
5 201730
6 199730
7 202321
8 201818
9 202416
10 201516
11 202015
12 201914
13 201913
14 202112
15 202211
16 20229
17 19988
18 20177
19 20215
20 20215

About Fangming Wang

Fangming Wang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Immunology, Surgery and Molecular Biology, having authored 33 papers that have together received 439 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Renal cell carcinoma treatment (3 papers), Immune Cell Function and Interaction (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Immunotherapy and Immune Responses (3 papers), Petri Nets in System Modeling (2 papers), Thermoregulation and physiological responses (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (73 citations), Immunology (93 citations), Oncology (101 citations), Pulmonary and Respiratory Medicine (63 citations) and Urology (10 citations). Fangming Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Nianzeng Xing, Jianxin Tang, Guiming Zhang, Lijiang Sun, Liyuan Wu, Yuchun Gu, Hui Shi, Feiya Yang, Lulin Ma and Xiaojun Tian. Their work appears in journals such as Disease Markers, Cancer Communications, Journal of Cleaner Production, Frontiers in Endocrinology and Saudi Journal of Biological Sciences.

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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