Pei‐Chen Chen
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
-
- Antibiotic Use and Resistance
Papers in
-
- Antibiotic Resistance in Bacteria 10
-
- Nematode management and characterization studies 15
- Plant Disease Resistance and Genetics 2
- Co-authors
- Tsai-Ling Yang Lauderdale (16 shared papers)Yih‐Ru Shiau (12 shared papers)Jui‐Fen Lai (11 shared papers)I‐Wen Huang (7 shared papers)Huiying Wang (4 shared papers)Monto Ho (5 shared papers)Shan‐Chwen Chang (4 shared papers)L. Clifford McDonald (4 shared papers)
- Journals
- Plant Disease (4 papers)PLoS ONE (4 papers)Diagnostic Microbiology and Infectious Disease (3 papers)Journal of Clinical Microbiology (2 papers)Nematology (2 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Pei‐Chen Chen
36 papers receiving 981 citations
Peers
Comparison fields: 5 of 51
- Molecular Medicine 335
- Applied Microbiology and Biotechnology 41
- Infectious Diseases 243
- Food Science 180
- Endocrinology 21
Countries citing papers authored by Pei‐Chen Chen
This map shows the geographic impact of Pei‐Chen 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 Pei‐Chen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Chen Chen more than expected).
Fields of papers citing papers by Pei‐Chen Chen
This network shows the impact of papers produced by Pei‐Chen 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 Pei‐Chen Chen. The network helps show where Pei‐Chen Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei‐Chen 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 92 | |
| 2 | 2006 | 77 | |
| 3 | 2014 | 65 | |
| 4 | 2012 | 64 | |
| 5 | 2016 | 61 | |
| 6 | 2002 | 59 | |
| 7 | 2014 | 59 | |
| 8 | 2012 | 56 | |
| 9 | 2006 | 53 | |
| 10 | 2004 | 51 | |
| 11 | 2005 | 48 | |
| 12 | 2014 | 48 | |
| 13 | 2004 | 47 | |
| 14 | 2014 | 40 | |
| 15 | 2013 | 34 | |
| 16 | 2013 | 29 | |
| 17 | 2003 | 23 | |
| 18 | 2003 | 19 | |
| 19 | 2016 | 11 | |
| 20 | 2023 | 11 |
About Pei‐Chen Chen
Pei‐Chen Chen is a scholar working on Molecular Medicine, Plant Science, Infectious Diseases, Food Science and Cell Biology, having authored 40 papers that have together received 1k indexed citations. Recurring topics across this work include Nematode management and characterization studies (15 papers), Antibiotic Resistance in Bacteria (10 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Plant Disease Resistance and Genetics (2 papers), Plant Pathogens and Fungal Diseases (2 papers), Streptococcal Infections and Treatments (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Molecular Medicine (335 citations), Applied Microbiology and Biotechnology (41 citations), Infectious Diseases (243 citations), Food Science (180 citations) and Endocrinology (21 citations). Pei‐Chen Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Tsai-Ling Yang Lauderdale, Yih‐Ru Shiau, Jui‐Fen Lai, I‐Wen Huang, Huiying Wang, Monto Ho, Shan‐Chwen Chang, L. Clifford McDonald, Philip Alan Roberts and Ying-Yu Chen. Their work appears in journals such as Plant Disease, PLoS ONE, Diagnostic Microbiology and Infectious Disease, Journal of Clinical Microbiology and Nematology.
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.