Jian-Ping Cong
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Biophysics top 5%
- Electron Spin Resonance Studies
Papers in
-
- Bacterial biofilms and quorum sensing 7
- Glycosylation and Glycoproteins Research 2
- TGF-β signaling in diseases 1
-
- Vibrio bacteria research studies 6
- Legionella and Acanthamoeba research 1
- Co-authors
- Bonnie L. Bassler (7 shared papers)Cyrus Levinthal (1 shared paper)A. Paul Todd (1 shared paper)Wai‐Leung Ng (2 shared papers)M. F. SEMMELHACK (2 shared papers)Lark J. Perez (2 shared papers)Jon E. Paczkowski (2 shared papers)Juanjuan Liu (4 shared papers)
- Journals
- PLoS Pathogens (2 papers)Molecular Microbiology (1 paper)Journal of Bacteriology (1 paper)Journal of Enzyme Inhibition and Medicinal Chemistry (1 paper)mBio (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Jian-Ping Cong
13 papers receiving 471 citations
Peers
Comparison fields: 5 of 81
- Endocrinology 133
- Biophysics 72
- Molecular Medicine 48
- Molecular Biology 351
- Immunology 74
Countries citing papers authored by Jian-Ping Cong
This map shows the geographic impact of Jian-Ping Cong'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 Jian-Ping Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian-Ping Cong more than expected).
Fields of papers citing papers by Jian-Ping Cong
This network shows the impact of papers produced by Jian-Ping Cong. 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 Jian-Ping Cong. The network helps show where Jian-Ping Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jian-Ping Cong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 117 | |
| 2 | 2012 | 71 | |
| 3 | 2010 | 50 | |
| 4 | 2009 | 49 | |
| 5 | 2012 | 42 | |
| 6 | 2014 | 38 | |
| 7 | 2020 | 28 | |
| 8 | 2019 | 27 | |
| 9 | 2011 | 17 | |
| 10 | 2010 | 16 | |
| 11 | 2008 | 12 | |
| 12 | 2022 | 9 | |
| 13 | 2010 | 4 |
About Jian-Ping Cong
Jian-Ping Cong is a scholar working on Molecular Biology, Endocrinology, Genetics, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 13 papers that have together received 480 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (7 papers), Bacterial Genetics and Biotechnology (6 papers), Vibrio bacteria research studies (6 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), TGF-β signaling in diseases (1 paper), Electron Spin Resonance Studies (1 paper) and Legionella and Acanthamoeba research (1 paper). The work is most often cited by research in Endocrinology (133 citations), Biophysics (72 citations), Molecular Medicine (48 citations), Molecular Biology (351 citations) and Immunology (74 citations). Jian-Ping Cong has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Bonnie L. Bassler, Cyrus Levinthal, A. Paul Todd, Wai‐Leung Ng, M. F. SEMMELHACK, Lark J. Perez, Jon E. Paczkowski, Juanjuan Liu, Bei Lin and Liancheng Zhu. Their work appears in journals such as PLoS Pathogens, Molecular Microbiology, Journal of Bacteriology, Journal of Enzyme Inhibition and Medicinal Chemistry and mBio.
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.