Won-Bo Wang
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- Bacterial biofilms and quorum sensing 6
- Oncology 6
- Viral-associated cancers and disorders 3
- HER2/EGFR in Cancer Research 2
- Co-authors
- Shwu‐Jen Liaw (7 shared papers)Hsin‐Chih Lai (3 shared papers)Po‐Ren Hsueh (5 shared papers)Wei-Bin Hsu (5 shared papers)Jean‐San Chia (6 shared papers)Chun‐Pin Chiang (6 shared papers)Andy Sun (6 shared papers)Chang‐Shen Lin (3 shared papers)
- Journals
- Infection and Immunity (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Journal of Medical Microbiology (2 papers)The American Journal of Chinese Medicine (2 papers)Oncogene (2 papers)
- Partner nations
- TaiwanCzechiaUnited States
In The Last Decade
Won-Bo Wang
22 papers receiving 745 citations
Peers
Comparison fields: 5 of 92
- Molecular Medicine 115
- Endocrinology 103
- Molecular Biology 373
- Oncology 148
- Microbiology 33
Countries citing papers authored by Won-Bo Wang
This map shows the geographic impact of Won-Bo 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 Won-Bo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won-Bo Wang more than expected).
Fields of papers citing papers by Won-Bo Wang
This network shows the impact of papers produced by Won-Bo 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 Won-Bo Wang. The network helps show where Won-Bo Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Won-Bo 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 107 | |
| 2 | 2004 | 92 | |
| 3 | 2004 | 85 | |
| 4 | 2002 | 68 | |
| 5 | 2010 | 49 | |
| 6 | 2010 | 47 | |
| 7 | 2012 | 46 | |
| 8 | 2010 | 39 | |
| 9 | 2012 | 36 | |
| 10 | 2009 | 33 | |
| 11 | 2008 | 30 | |
| 12 | 2000 | 25 | |
| 13 | 2005 | 23 | |
| 14 | 2004 | 16 | |
| 15 | 2012 | 16 | |
| 16 | 2000 | 13 | |
| 17 | 2005 | 12 | |
| 18 | 2012 | 11 | |
| 19 | 2006 | 8 | |
| 20 | 2012 | 5 |
About Won-Bo Wang
Won-Bo Wang is a scholar working on Molecular Biology, Oncology, Epidemiology, Molecular Medicine and Pathology and Forensic Medicine, having authored 22 papers that have together received 764 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (6 papers), Antibiotic Resistance in Bacteria (4 papers), Viral-associated cancers and disorders (3 papers), Oral Health Pathology and Treatment (3 papers), Vibrio bacteria research studies (3 papers), Bacteriophages and microbial interactions (2 papers), HER2/EGFR in Cancer Research (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Molecular Medicine (115 citations), Endocrinology (103 citations), Molecular Biology (373 citations), Oncology (148 citations) and Microbiology (33 citations). Won-Bo Wang has collaborated with scholars based in Taiwan, Czechia and United States. Frequent co-authors include Shwu‐Jen Liaw, Hsin‐Chih Lai, Po‐Ren Hsueh, Wei-Bin Hsu, Jean‐San Chia, Chun‐Pin Chiang, Andy Sun, Chang‐Shen Lin, Shwu‐Bin Lin and Jen‐Yang Chen. Their work appears in journals such as Infection and Immunity, Antimicrobial Agents and Chemotherapy, Journal of Medical Microbiology, The American Journal of Chinese Medicine and Oncogene.
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.