K.J.F. Satchell
Impact in
- Endocrinology top 0.1%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Vibrio bacteria research studies 68
- Escherichia coli research studies 12
-
- Bacterial biofilms and quorum sensing 18
- Co-authors
- Christina L. Cordero (5 shared papers)Hee Gon Jeong (3 shared papers)Jessica Queen (6 shared papers)Hannah E. Gavin (7 shared papers)G. Minasov (24 shared papers)Brett Geissler (8 shared papers)L. Shuvalova (17 shared papers)Marco Biancucci (9 shared papers)
- Journals
- Infection and Immunity (11 papers)Proceedings of the National Academy of Sciences (9 papers)Journal of Biological Chemistry (8 papers)Journal of Bacteriology (7 papers)mBio (7 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
K.J.F. Satchell
108 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 109
- Endocrinology 2.0k
- Molecular Medicine 324
- Immunology 1.1k
- Genetics 968
- Infectious Diseases 581
Countries citing papers authored by K.J.F. Satchell
This map shows the geographic impact of K.J.F. Satchell'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 K.J.F. Satchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.J.F. Satchell more than expected).
Fields of papers citing papers by K.J.F. Satchell
This network shows the impact of papers produced by K.J.F. Satchell. 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 K.J.F. Satchell. The network helps show where K.J.F. Satchell may publish in the future.
Co-authors
The 25 scholars most cited alongside K.J.F. Satchell, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 165 | |
| 2 | 2009 | 162 | |
| 3 | 2010 | 152 | |
| 4 | 2020 | 145 | |
| 5 | 2012 | 124 | |
| 6 | 2004 | 119 | |
| 7 | 2007 | 110 | |
| 8 | 2015 | 86 | |
| 9 | 2011 | 85 | |
| 10 | 2007 | 84 | |
| 11 | 2007 | 82 | |
| 12 | 2007 | 75 | |
| 13 | 2006 | 74 | |
| 14 | 2009 | 73 | |
| 15 | 2010 | 71 | |
| 16 | 2004 | 69 | |
| 17 | 2007 | 68 | |
| 18 | 2009 | 67 | |
| 19 | 2008 | 63 | |
| 20 | 2015 | 60 |
About K.J.F. Satchell
K.J.F. Satchell is a scholar working on Endocrinology, Molecular Biology, Genetics, Immunology and Infectious Diseases, having authored 110 papers that have together received 3.7k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (68 papers), Aquaculture disease management and microbiota (21 papers), Yersinia bacterium, plague, ectoparasites research (20 papers), Bacterial biofilms and quorum sensing (18 papers), Bacterial Genetics and Biotechnology (18 papers), Escherichia coli research studies (12 papers), Antibiotic Resistance in Bacteria (10 papers) and Salmonella and Campylobacter epidemiology (10 papers). The work is most often cited by research in Endocrinology (2.0k citations), Molecular Medicine (324 citations), Immunology (1.1k citations), Genetics (968 citations) and Infectious Diseases (581 citations). K.J.F. Satchell has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Christina L. Cordero, Hee Gon Jeong, Jessica Queen, Hannah E. Gavin, G. Minasov, Brett Geissler, L. Shuvalova, Marco Biancucci, Kateřina Procházková and W.F. Anderson. Their work appears in journals such as Infection and Immunity, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Journal of Bacteriology 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.