Yahua Chen
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Bacillus and Francisella bacterial research 7
- Insect Resistance and Genetics 3
- Epidemiology 12
- Burkholderia infections and melioidosis 12
- Co-authors
- Yunn‐Hwen Gan (23 shared papers)Theresa M. Koehler (6 shared papers)Fred C. Tenover (2 shared papers)Norma S. Kenyon (3 shared papers)Bernhard J. Hering (3 shared papers)Sally C. Kent (3 shared papers)Camillo Ricordi (3 shared papers)Sue M. Clemmings (3 shared papers)
- Journals
- Molecular Microbiology (4 papers)BMC Microbiology (3 papers)Journal of Biological Chemistry (3 papers)Emerging infectious diseases (2 papers)Nature (2 papers)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Yahua Chen
47 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 100
- Molecular Medicine 266
- Endocrinology 158
- Genetics 555
- Immunology 263
- Molecular Biology 822
Countries citing papers authored by Yahua Chen
This map shows the geographic impact of Yahua 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 Yahua Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yahua Chen more than expected).
Fields of papers citing papers by Yahua Chen
This network shows the impact of papers produced by Yahua 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 Yahua Chen. The network helps show where Yahua Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yahua 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 326 | |
| 2 | 2004 | 129 | |
| 3 | 1998 | 96 | |
| 4 | 2003 | 87 | |
| 5 | 2004 | 78 | |
| 6 | 2010 | 69 | |
| 7 | 2011 | 63 | |
| 8 | 2013 | 58 | |
| 9 | 2020 | 58 | |
| 10 | 2018 | 56 | |
| 11 | 2020 | 53 | |
| 12 | 2020 | 53 | |
| 13 | 2015 | 53 | |
| 14 | 2005 | 49 | |
| 15 | 2004 | 47 | |
| 16 | 2010 | 44 | |
| 17 | 2010 | 43 | |
| 18 | 2015 | 42 | |
| 19 | 1999 | 42 | |
| 20 | 2009 | 40 |
About Yahua Chen
Yahua Chen is a scholar working on Molecular Biology, Epidemiology, Molecular Medicine, Genetics and Endocrinology, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (12 papers), Antibiotic Resistance in Bacteria (11 papers), Bacillus and Francisella bacterial research (7 papers), Vibrio bacteria research studies (6 papers), Bacterial Genetics and Biotechnology (5 papers), Diabetes and associated disorders (3 papers), Insect Resistance and Genetics (3 papers) and Insect and Pesticide Research (3 papers). The work is most often cited by research in Molecular Medicine (266 citations), Endocrinology (158 citations), Genetics (555 citations), Immunology (263 citations) and Molecular Biology (822 citations). Yahua Chen has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Yunn‐Hwen Gan, Theresa M. Koehler, Fred C. Tenover, Norma S. Kenyon, Bernhard J. Hering, Sally C. Kent, Camillo Ricordi, Sue M. Clemmings, David A. Hafler and Lisa Bregoli. Their work appears in journals such as Molecular Microbiology, BMC Microbiology, Journal of Biological Chemistry, Emerging infectious diseases and Nature.
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.