Shouguang Jin
Impact in
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 0.5%
- Vibrio bacteria research studies
Papers in
-
- Bacterial biofilms and quorum sensing 73
- CRISPR and Genetic Engineering 12
- Plant tissue culture and regeneration 9
- Genetics 55
- Bacterial Genetics and Biotechnology 48
- Co-authors
- Eugene W. Nester (8 shared papers)Un‐Hwan Ha (24 shared papers)Weihui Wu (49 shared papers)Thomas Roitsch (5 shared papers)Yongxin Jin (39 shared papers)M P Gordon (3 shared papers)Fang Bai (32 shared papers)Robert W. Huigens (19 shared papers)
- Journals
- Journal of Bacteriology (13 papers)Infection and Immunity (9 papers)Frontiers in Microbiology (9 papers)Antimicrobial Agents and Chemotherapy (8 papers)PLoS ONE (6 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Shouguang Jin
131 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 124
- Molecular Medicine 1.1k
- Endocrinology 733
- Microbiology 442
- Biotechnology 499
- Molecular Biology 3.1k
Countries citing papers authored by Shouguang Jin
This map shows the geographic impact of Shouguang Jin'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 Shouguang Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shouguang Jin more than expected).
Fields of papers citing papers by Shouguang Jin
This network shows the impact of papers produced by Shouguang Jin. 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 Shouguang Jin. The network helps show where Shouguang Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Shouguang Jin, 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 182 | |
| 2 | 1990 | 165 | |
| 3 | 1990 | 164 | |
| 4 | 1996 | 149 | |
| 5 | 1990 | 125 | |
| 6 | 2000 | 125 | |
| 7 | 2004 | 96 | |
| 8 | 2008 | 95 | |
| 9 | 2013 | 93 | |
| 10 | 2003 | 91 | |
| 11 | 1996 | 86 | |
| 12 | 2015 | 85 | |
| 13 | 2016 | 83 | |
| 14 | 1993 | 81 | |
| 15 | 2013 | 76 | |
| 16 | 1993 | 69 | |
| 17 | 1998 | 68 | |
| 18 | 2013 | 68 | |
| 19 | 2014 | 68 | |
| 20 | 2010 | 58 |
About Shouguang Jin
Shouguang Jin is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Endocrinology and Infectious Diseases, having authored 134 papers that have together received 4.6k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (73 papers), Antibiotic Resistance in Bacteria (50 papers), Bacterial Genetics and Biotechnology (48 papers), Vibrio bacteria research studies (24 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Antimicrobial Peptides and Activities (12 papers), CRISPR and Genetic Engineering (12 papers) and Plant tissue culture and regeneration (9 papers). The work is most often cited by research in Molecular Medicine (1.1k citations), Endocrinology (733 citations), Microbiology (442 citations), Biotechnology (499 citations) and Molecular Biology (3.1k citations). Shouguang Jin has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Eugene W. Nester, Un‐Hwan Ha, Weihui Wu, Thomas Roitsch, Yongxin Jin, M P Gordon, Fang Bai, Robert W. Huigens, Stephen Lory and Jinghua Jia. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, Frontiers in Microbiology, Antimicrobial Agents and Chemotherapy and PLoS ONE.
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.