Chen Cha
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Bacterial biofilms and quorum sensing 12
- Genomics and Phylogenetic Studies 11
-
- Antibiotic Resistance in Bacteria 22
- Co-authors
- Jianming Zeng (25 shared papers)Bin Huang (23 shared papers)E Shunmei (7 shared papers)Pinghua Qu (19 shared papers)Lu Yang (6 shared papers)Lina Wang (4 shared papers)Liang Chen (6 shared papers)Youqiang Li (8 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (9 papers)Microbiology Spectrum (8 papers)Frontiers in Microbiology (7 papers)Emerging Microbes & Infections (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chen Cha
70 papers receiving 978 citations
Peers
Comparison fields: 5 of 105
- Molecular Medicine 335
- Endocrinology 146
- Pollution 127
- Clinical Biochemistry 68
- Applied Microbiology and Biotechnology 19
Countries citing papers authored by Chen Cha
This map shows the geographic impact of Chen Cha'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 Chen Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Cha more than expected).
Fields of papers citing papers by Chen Cha
This network shows the impact of papers produced by Chen Cha. 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 Chen Cha. The network helps show where Chen Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Cha, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 80 | |
| 2 | 2013 | 78 | |
| 3 | 2017 | 71 | |
| 4 | 2016 | 57 | |
| 5 | 2017 | 44 | |
| 6 | 2017 | 40 | |
| 7 | 2019 | 39 | |
| 8 | 2022 | 31 | |
| 9 | 2013 | 28 | |
| 10 | 2011 | 27 | |
| 11 | 2017 | 27 | |
| 12 | 2019 | 25 | |
| 13 | 2016 | 25 | |
| 14 | 2020 | 24 | |
| 15 | 2016 | 24 | |
| 16 | 2021 | 21 | |
| 17 | 2013 | 20 | |
| 18 | 2019 | 19 | |
| 19 | 2021 | 19 | |
| 20 | 2022 | 18 |
About Chen Cha
Chen Cha is a scholar working on Molecular Biology, Molecular Medicine, Endocrinology, Epidemiology and Genetics, having authored 73 papers that have together received 987 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (22 papers), Bacterial biofilms and quorum sensing (12 papers), Genomics and Phylogenetic Studies (11 papers), Bacterial Genetics and Biotechnology (10 papers), Bacterial Identification and Susceptibility Testing (8 papers), Bacteriophages and microbial interactions (7 papers), Mycobacterium research and diagnosis (4 papers) and Escherichia coli research studies (4 papers). The work is most often cited by research in Molecular Medicine (335 citations), Endocrinology (146 citations), Pollution (127 citations), Clinical Biochemistry (68 citations) and Applied Microbiology and Biotechnology (19 citations). Chen Cha has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianming Zeng, Bin Huang, E Shunmei, Pinghua Qu, Lu Yang, Lina Wang, Liang Chen, Youqiang Li, Hui Yuan and Jianming Zeng. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Microbiology Spectrum, Frontiers in Microbiology, Emerging Microbes & Infections and Antimicrobial Agents and Chemotherapy.
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.