Ju‐Ming Wang
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions
- Cancer-related Molecular Pathways
Papers in
- Immunology 13
- Biomarkers in Disease Mechanisms 7
-
- Cancer, Hypoxia, and Metabolism 3
- MicroRNA in disease regulation 2
- Co-authors
- Hsin‐Fang Yang‐YenJ. J. YenWannhsin ChenMin‐Liang KuoJyh-Rong ChaoRobyn Catlett-FalconeJames G. KarrasJames Turkson
- Journals
- Clinical and Translational Medicine (2 papers)Molecular and Cellular Biology (2 papers)Clinical Cancer Research (1 paper)Cell Death Discovery (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Ju‐Ming Wang
27 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 410
- Oncology 505
- Cancer Research 217
- Genetics 148
- Pathology and Forensic Medicine 225
Countries citing papers authored by Ju‐Ming Wang
This map shows the geographic impact of Ju‐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 Ju‐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 Ju‐Ming Wang more than expected).
Fields of papers citing papers by Ju‐Ming Wang
This network shows the impact of papers produced by Ju‐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 Ju‐Ming Wang. The network helps show where Ju‐Ming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju‐Ming Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 16 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 26 | |
| 6 | 2022 | 24 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 14 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2019 | 19 | |
| 14 | 2014 | 13 | |
| 15 | 2012 | 50 | |
| 16 | 2010 | 40 | |
| 17 | 2010 | 60 | |
| 18 | 2009 | 16 | |
| 19 | Inhibition of STAT3 signaling leads to apoptosis of leukemic large granular lymphocytes and decreased Mcl-1 expression Hit paper breakdown → | 2001 | 505 |
| 20 | 1999 | 313 |
About Ju‐Ming Wang
Ju‐Ming Wang is a scholar working on Immunology, Cancer Research, Physiology, Immunology and Allergy and Oncology, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomarkers in Disease Mechanisms (7 papers), Cytokine Signaling Pathways and Interactions (4 papers), Epigenetics and DNA Methylation (3 papers), Microtubule and mitosis dynamics (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), MicroRNA in disease regulation (2 papers), Cell Adhesion Molecules Research (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Immunology (410 citations), Oncology (505 citations), Cancer Research (217 citations), Genetics (148 citations) and Pathology and Forensic Medicine (225 citations). Ju‐Ming Wang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Hsin‐Fang Yang‐Yen, J. J. Yen, Wannhsin Chen, Min‐Liang Kuo, Jyh-Rong Chao, Robyn Catlett-Falcone, James G. Karras, James Turkson, Pearlie K. Epling‐Burnette and Jin Hong Liu. Their work appears in journals such as Clinical and Translational Medicine, Molecular and Cellular Biology, Clinical Cancer Research, Cell Death Discovery and Cell Death and Disease.
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.