Jenn‐Wei Chen
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Clostridium difficile and Clostridium perfringens research 13
- Viral gastroenteritis research and epidemiology 10
-
- Gut microbiota and health 9
- Co-authors
- Joy Scaria (8 shared papers)I‐Hsiu Huang (9 shared papers)Yung‐Fu Chang (8 shared papers)Pei-Jane Tsai (6 shared papers)Wen‐Chien Ko (11 shared papers)Sean P. McDonough (6 shared papers)Jagat Rathod (3 shared papers)Wan‐Jr Syu (6 shared papers)
- Journals
- Frontiers in Microbiology (5 papers)PLoS ONE (3 papers)Vaccine (3 papers)Frontiers in Cellular and Infection Microbiology (3 papers)Helicobacter (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Jenn‐Wei Chen
38 papers receiving 574 citations
Peers
Comparison fields: 5 of 89
- Endocrinology 92
- Molecular Medicine 54
- Infectious Diseases 189
- Small Animals 39
- Microbiology 24
Countries citing papers authored by Jenn‐Wei Chen
This map shows the geographic impact of Jenn‐Wei Chen'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 Jenn‐Wei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenn‐Wei Chen more than expected).
Fields of papers citing papers by Jenn‐Wei Chen
This network shows the impact of papers produced by Jenn‐Wei Chen. 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 Jenn‐Wei Chen. The network helps show where Jenn‐Wei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jenn‐Wei Chen, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 88 | |
| 2 | 2022 | 31 | |
| 3 | 2013 | 30 | |
| 4 | 2013 | 29 | |
| 5 | 2018 | 24 | |
| 6 | 2005 | 23 | |
| 7 | 2010 | 22 | |
| 8 | 2005 | 22 | |
| 9 | 2011 | 20 | |
| 10 | 2014 | 20 | |
| 11 | 2019 | 19 | |
| 12 | 2017 | 19 | |
| 13 | 2016 | 19 | |
| 14 | 2017 | 18 | |
| 15 | 2015 | 18 | |
| 16 | 2020 | 17 | |
| 17 | 2011 | 17 | |
| 18 | 2012 | 17 | |
| 19 | 2013 | 17 | |
| 20 | 2018 | 17 |
About Jenn‐Wei Chen
Jenn‐Wei Chen is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Endocrinology and Molecular Medicine, having authored 42 papers that have together received 582 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (13 papers), Viral gastroenteritis research and epidemiology (10 papers), Gut microbiota and health (9 papers), Antibiotic Resistance in Bacteria (7 papers), Helicobacter pylori-related gastroenterology studies (6 papers), Mycobacterium research and diagnosis (6 papers), Escherichia coli research studies (6 papers) and Microscopic Colitis (6 papers). The work is most often cited by research in Endocrinology (92 citations), Molecular Medicine (54 citations), Infectious Diseases (189 citations), Small Animals (39 citations) and Microbiology (24 citations). Jenn‐Wei Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Joy Scaria, I‐Hsiu Huang, Yung‐Fu Chang, Pei-Jane Tsai, Wen‐Chien Ko, Sean P. McDonough, Jagat Rathod, Wan‐Jr Syu, Yuan‐Pin Hung and Cheng‐Yen Kao. Their work appears in journals such as Frontiers in Microbiology, PLoS ONE, Vaccine, Frontiers in Cellular and Infection Microbiology and Helicobacter.
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.