Ju-Ming Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 5%
- Immune cells in cancer
Papers in
-
- Ubiquitin and proteasome pathways 6
- RNA modifications and cancer 5
-
- MicroRNA in disease regulation 6
- NF-κB Signaling Pathways 4
- Co-authors
- Chiung‐Yuan Ko (12 shared papers)Wen‐Chang Chang (10 shared papers)Wen-Chang Chang (3 shared papers)Chien‐Feng Li (11 shared papers)Hsin‐Fang Yang‐Yen (2 shared papers)Shao‐Ming Wang (9 shared papers)Chi‐Tang Ho (2 shared papers)Min‐Hsiung Pan (2 shared papers)
- Journals
- Oncotarget (4 papers)Journal of Biomedical Science (4 papers)Clinical Cancer Research (3 papers)Cell Death Discovery (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Ju-Ming Wang
44 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 499
- Immunology 455
- Molecular Biology 1.3k
- Oncology 414
- Geriatrics and Gerontology 51
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
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 171 | |
| 2 | 2009 | 126 | |
| 3 | 2012 | 124 | |
| 4 | 2015 | 102 | |
| 5 | 2010 | 98 | |
| 6 | 2009 | 90 | |
| 7 | 2006 | 87 | |
| 8 | 2008 | 75 | |
| 9 | 2003 | 74 | |
| 10 | 2015 | 59 | |
| 11 | 2017 | 55 | |
| 12 | 2016 | 51 | |
| 13 | 2015 | 50 | |
| 14 | 2009 | 47 | |
| 15 | 2016 | 46 | |
| 16 | 2008 | 44 | |
| 17 | 2013 | 44 | |
| 18 | 2013 | 42 | |
| 19 | 2019 | 39 | |
| 20 | 2012 | 39 |
About Ju-Ming Wang
Ju-Ming Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Physiology, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Ubiquitin and proteasome pathways (6 papers), RNA modifications and cancer (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), NF-κB Signaling Pathways (4 papers), Peptidase Inhibition and Analysis (4 papers), Biomarkers in Disease Mechanisms (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Cancer Research (499 citations), Immunology (455 citations), Molecular Biology (1.3k citations), Oncology (414 citations) and Geriatrics and Gerontology (51 citations). Ju-Ming Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chiung‐Yuan Ko, Wen‐Chang Chang, Wen-Chang Chang, Chien‐Feng Li, Hsin‐Fang Yang‐Yen, Shao‐Ming Wang, Chi‐Tang Ho, Min‐Hsiung Pan, Yu‐Yi Chu and Wen-Ling Wang. Their work appears in journals such as Oncotarget, Journal of Biomedical Science, Clinical Cancer Research, Cell Death Discovery 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.