Jin-Town Wang
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
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- Antibiotic Resistance in Bacteria 9
-
- Pneumonia and Respiratory Infections 5
- Pneumocystis jirovecii pneumonia detection and treatment 1
- Co-authors
- Tzu-Lung Lin (10 shared papers)Yi-Tsung Lin (8 shared papers)Yi-Hsiang Cheng (5 shared papers)Yi‐Jiun Pan (5 shared papers)Yu‐Ping Wang (1 shared paper)Yu-Chia Hsieh (4 shared papers)Shih-Hsiung Wu (2 shared papers)Yun‐Ting Tsai (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (4 papers)The Journal of Infectious Diseases (1 paper)Journal of Virology (1 paper)BMC Microbiology (1 paper)Emerging infectious diseases (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Jin-Town Wang
14 papers receiving 765 citations
Peers
Comparison fields: 5 of 55
- Molecular Medicine 445
- Endocrinology 116
- Microbiology 105
- Applied Microbiology and Biotechnology 19
- Ecology 216
Countries citing papers authored by Jin-Town Wang
This map shows the geographic impact of Jin-Town 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 Jin-Town Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin-Town Wang more than expected).
Fields of papers citing papers by Jin-Town Wang
This network shows the impact of papers produced by Jin-Town 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 Jin-Town Wang. The network helps show where Jin-Town Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin-Town 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 | 2015 | 129 | |
| 2 | 2017 | 128 | |
| 3 | 2016 | 106 | |
| 4 | 2014 | 105 | |
| 5 | 2009 | 96 | |
| 6 | 2018 | 47 | |
| 7 | 2013 | 42 | |
| 8 | 2008 | 36 | |
| 9 | 2006 | 27 | |
| 10 | 2021 | 17 | |
| 11 | 2012 | 16 | |
| 12 | 2015 | 14 | |
| 13 | 2008 | 11 | |
| 14 | 2014 | 2 |
About Jin-Town Wang
Jin-Town Wang is a scholar working on Molecular Medicine, Epidemiology, Infectious Diseases, Molecular Biology and Pharmacology, having authored 14 papers that have together received 776 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (9 papers), Pneumonia and Respiratory Infections (5 papers), Amoebic Infections and Treatments (4 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Bacterial Genetics and Biotechnology (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Galectins and Cancer Biology (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Molecular Medicine (445 citations), Endocrinology (116 citations), Microbiology (105 citations), Applied Microbiology and Biotechnology (19 citations) and Ecology (216 citations). Jin-Town Wang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Tzu-Lung Lin, Yi-Tsung Lin, Yi-Hsiang Cheng, Yi‐Jiun Pan, Yu‐Ping Wang, Yu-Chia Hsieh, Shih-Hsiung Wu, Yun‐Ting Tsai, Yi‐Yin Chen and Shu‐Yu Lin. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Journal of Infectious Diseases, Journal of Virology, BMC Microbiology and Emerging infectious diseases.
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.