James E. Bina
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Vibrio bacteria research studies 26
- Escherichia coli research studies 8
-
- Antibiotic Resistance in Bacteria 18
- Co-authors
- Xiaowen R. Bina (12 shared papers)John J. Mekalanos (3 shared papers)X. Renee Bina (23 shared papers)Mark A. Miller (11 shared papers)Robert E. W. Hancock (4 shared papers)T J Trust (3 shared papers)Richard A. Alm (3 shared papers)Daniele Provenzano (2 shared papers)
- Journals
- Infection and Immunity (12 papers)PLoS ONE (4 papers)mBio (3 papers)BMC Microbiology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
James E. Bina
47 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 96
- Endocrinology 813
- Molecular Medicine 488
- Immunology 506
- Small Animals 138
- Microbiology 96
Countries citing papers authored by James E. Bina
This map shows the geographic impact of James E. Bina'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 James E. Bina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Bina more than expected).
Fields of papers citing papers by James E. Bina
This network shows the impact of papers produced by James E. Bina. 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 James E. Bina. The network helps show where James E. Bina may publish in the future.
Co-authors
The 25 scholars most cited alongside James E. Bina, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 251 | |
| 2 | 2003 | 149 | |
| 3 | 2008 | 147 | |
| 4 | 2001 | 146 | |
| 5 | 2000 | 106 | |
| 6 | 2007 | 87 | |
| 7 | 2006 | 72 | |
| 8 | 2006 | 71 | |
| 9 | 2012 | 67 | |
| 10 | 2013 | 53 | |
| 11 | 2011 | 50 | |
| 12 | 2008 | 50 | |
| 13 | 2012 | 49 | |
| 14 | 2012 | 49 | |
| 15 | 2008 | 44 | |
| 16 | 2015 | 38 | |
| 17 | 2014 | 36 | |
| 18 | 2017 | 36 | |
| 19 | 2018 | 35 | |
| 20 | 2006 | 35 |
About James E. Bina
James E. Bina is a scholar working on Endocrinology, Molecular Medicine, Molecular Biology, Immunology and Ecology, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (26 papers), Antibiotic Resistance in Bacteria (18 papers), Bacillus and Francisella bacterial research (12 papers), Aquaculture disease management and microbiota (12 papers), Escherichia coli research studies (8 papers), Bacteriophages and microbial interactions (8 papers), Bacterial Genetics and Biotechnology (6 papers) and Salmonella and Campylobacter epidemiology (4 papers). The work is most often cited by research in Endocrinology (813 citations), Molecular Medicine (488 citations), Immunology (506 citations), Small Animals (138 citations) and Microbiology (96 citations). James E. Bina has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Xiaowen R. Bina, John J. Mekalanos, X. Renee Bina, Mark A. Miller, Robert E. W. Hancock, T J Trust, Richard A. Alm, Daniele Provenzano, Beth Andrews and P. Doig. Their work appears in journals such as Infection and Immunity, PLoS ONE, mBio, BMC Microbiology and Proceedings of the National Academy of Sciences.
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.