Jinhua Wang
- Molecular Biology top 5%
- Oncology top 10%
- Immunology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Cell Biology top 10%
- Co-authors
- Nathanael S. GrayQingsong LiuDavid M. SabatiniCarson C. ThoreenWooyoung HurSeong A. KangJianming ZhangPriscilla L. Yang
- Topics
- Melanoma and MAPK Pathways (12 papers)Chronic Lymphocytic Leukemia Research (9 papers)PI3K/AKT/mTOR signaling in cancer (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jinhua Wang
71 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.4k
- Oncology 344
- Immunology 234
- Public Health, Environmental and Occupational Health 231
- Cell Biology 206
Countries citing papers authored by Jinhua Wang
This map shows the geographic impact of Jinhua 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 Jinhua Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinhua Wang more than expected).
Fields of papers citing papers by Jinhua Wang
This network shows the impact of papers produced by Jinhua 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 Jinhua Wang. The network helps show where Jinhua Wang may publish in the future.
Co-authorship network of co-authors of Jinhua Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jinhua Wang. A scholar is included among the top collaborators of Jinhua 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 Jinhua Wang. Jinhua Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 18 | |
| 4 | 66 | |
| 5 | 24 | |
| 6 | 28 | |
| 7 | 33 | |
| 8 | 19 | |
| 9 | 15 | |
| 10 | 89 | |
| 11 | 43 | |
| 12 | 53 | |
| 13 | 64 | |
| 14 | 10 | |
| 15 | 34 | |
| 16 | 14 | |
| 17 | 99 | |
| 18 | Discovery of 1-(4-(4-Propionylpiperazin-1-yl)-3-(trifluoromethyl)phenyl)-9-(quinolin-3-yl)benzo[h][1,6]naphthyridin-2(1H)-one as a Highly Potent, Selective Mammalian Target of Rapamycin (mTOR) Inhibitor for the Treatment of Cancer | 11 |
| 19 | 148 | |
| 20 | 20 |
About Jinhua Wang
Jinhua Wang is a scholar working on Genetics, Hematology and Molecular Biology, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (12 papers), Chronic Lymphocytic Leukemia Research (9 papers) and PI3K/AKT/mTOR signaling in cancer (8 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Genetics (148 citations) and Cell Biology (206 citations). Jinhua Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nathanael S. Gray, Qingsong Liu, David M. Sabatini, Carson C. Thoreen, Wooyoung Hur, Seong A. Kang, Jianming Zhang, Priscilla L. Yang, Taebo Sim and Jae Won Chang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.