John Chen
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Legionella and Acanthamoeba research
- Microbiology top 1%
- Microbial infections and disease research
Papers in
-
- Bacterial biofilms and quorum sensing 8
- Genomics and Phylogenetic Studies 7
- CRISPR and Genetic Engineering 6
- RNA and protein synthesis mechanisms 6
- Ecology 19
- Bacteriophages and microbial interactions 19
- Co-authors
- Richard P. Novick (14 shared papers)José R. Penadés (15 shared papers)Nuria Quiles‐Puchalt (4 shared papers)Yin Ning Chiang (4 shared papers)Núria Carpena (2 shared papers)Geeta Ram (7 shared papers)Alfred Fillol-Salom (4 shared papers)Margaret Clarke (2 shared papers)
- Journals
- Molecular Microbiology (3 papers)The ISME Journal (3 papers)Science (3 papers)Journal of Bacteriology (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
John Chen
34 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 100
- Endocrinology 434
- Microbiology 302
- Ecology 1.1k
- Molecular Medicine 180
- Infectious Diseases 575
Countries citing papers authored by John Chen
This map shows the geographic impact of John 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 John Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Chen more than expected).
Fields of papers citing papers by John Chen
This network shows the impact of papers produced by John 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 John Chen. The network helps show where John Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside John 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 262 | |
| 2 | 2004 | 243 | |
| 3 | 2009 | 236 | |
| 4 | 2018 | 190 | |
| 5 | 2019 | 129 | |
| 6 | 2011 | 122 | |
| 7 | 2015 | 108 | |
| 8 | 2018 | 97 | |
| 9 | 2012 | 92 | |
| 10 | 2016 | 71 | |
| 11 | 2007 | 52 | |
| 12 | 2014 | 52 | |
| 13 | 2014 | 52 | |
| 14 | 2021 | 50 | |
| 15 | 2014 | 50 | |
| 16 | 2012 | 49 | |
| 17 | 2009 | 47 | |
| 18 | 2014 | 46 | |
| 19 | 2012 | 34 | |
| 20 | 2020 | 26 |
About John Chen
John Chen is a scholar working on Molecular Biology, Ecology, Genetics, Infectious Diseases and Endocrinology, having authored 34 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (19 papers), Bacterial Genetics and Biotechnology (14 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Bacterial biofilms and quorum sensing (8 papers), Genomics and Phylogenetic Studies (7 papers), CRISPR and Genetic Engineering (6 papers), RNA and protein synthesis mechanisms (6 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Endocrinology (434 citations), Microbiology (302 citations), Ecology (1.1k citations), Molecular Medicine (180 citations) and Infectious Diseases (575 citations). John Chen has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Richard P. Novick, José R. Penadés, Nuria Quiles‐Puchalt, Yin Ning Chiang, Núria Carpena, Geeta Ram, Alfred Fillol-Salom, Margaret Clarke, Howard A. Shuman and Hao Lu. Their work appears in journals such as Molecular Microbiology, The ISME Journal, Science, Journal of Bacteriology and PLoS Pathogens.
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.