John Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Internal Medicine top 10%
Papers in
- Epidemiology 19
- Neuroendocrine Tumor Research Advances 4
- Hepatitis B Virus Studies 3
- Cervical Cancer and HPV Research 3
- Co-authors
- Ya‐Wen Cheng (5 shared papers)Chih‐Yi Chen (5 shared papers)De‐Wei Wu (3 shared papers)Michael D. Tarantino (1 shared paper)William C. Hanigan (1 shared paper)Julian Lin (1 shared paper)Huei Lee (2 shared papers)Yee‐Jee Jan (9 shared papers)
- Journals
- Cancer Research (2 papers)Clinical Cancer Research (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Nature Communications (2 papers)Oncotarget (2 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
John Wang
77 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 110
- Cancer Research 188
- Internal Medicine 33
- Oncology 251
- Pulmonary and Respiratory Medicine 241
- Transplantation 20
Countries citing papers authored by John Wang
This map shows the geographic impact of John 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 John Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Wang more than expected).
Fields of papers citing papers by John Wang
This network shows the impact of papers produced by John 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 John Wang. The network helps show where John Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside John 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 119 | |
| 2 | 2003 | 119 | |
| 3 | 2007 | 115 | |
| 4 | 2011 | 88 | |
| 5 | 2014 | 74 | |
| 6 | 2011 | 55 | |
| 7 | 2009 | 45 | |
| 8 | 2010 | 42 | |
| 9 | 2007 | 41 | |
| 10 | 2011 | 39 | |
| 11 | Comparison of robotic-assisted versus retropubic radical prostatectomy performed by a single surgeon. | 2009 | 38 |
| 12 | 2018 | 35 | |
| 13 | 2014 | 32 | |
| 14 | 2015 | 30 | |
| 15 | 2016 | 30 | |
| 16 | 2007 | 29 | |
| 17 | 2005 | 29 | |
| 18 | 2024 | 26 | |
| 19 | 2009 | 26 | |
| 20 | 2013 | 25 |
About John Wang
John Wang is a scholar working on Molecular Biology, Epidemiology, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 84 papers that have together received 1.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Pancreatic function and diabetes (4 papers), Cancer-related Molecular Pathways (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Hepatitis B Virus Studies (3 papers), Cervical Cancer and HPV Research (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Cancer Research (188 citations), Internal Medicine (33 citations), Oncology (251 citations), Pulmonary and Respiratory Medicine (241 citations) and Transplantation (20 citations). John Wang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Ya‐Wen Cheng, Chih‐Yi Chen, De‐Wei Wu, Michael D. Tarantino, William C. Hanigan, Julian Lin, Huei Lee, Yee‐Jee Jan, Huei Lee and Kun-Tu Yeh. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Bioorganic & Medicinal Chemistry Letters, Nature Communications and Oncotarget.
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.