Philip C. Hanna
- Endocrinology top 1%
- Biotechnology top 0.5%
- Microbial Inactivation Methods 7
- Genetics top 1%
- Bacterial Genetics and Biotechnology 37
- Yersinia bacterium, plague, ectoparasites research 7
- Infectious Diseases top 1%
- Clostridium difficile and Clostridium perfringens research 13
- Viral gastroenteritis research and epidemiology 8
- Molecular Medicine top 2%
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- Bacillus and Francisella bacterial research 40
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- Bacteriophages and microbial interactions 13
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- Toxin Mechanisms and Immunotoxins 7
- Co-authors
- Terry C. DixonMatthew MeselsonJeanne GuilleminBruce A. McClaneR. John CollierNicholas H. BergmanMichael J. MahanNathan Fisher
- Cited by
- EndocrinologyBiotechnologyGenetics
- Journals
- Nature (1 paper)New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Philip C. Hanna
65 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Endocrinology 404
- Biotechnology 640
- Genetics 1.8k
- Infectious Diseases 1.1k
- Molecular Medicine 231
Countries citing papers authored by Philip C. Hanna
This map shows the geographic impact of Philip C. Hanna'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 Philip C. Hanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip C. Hanna more than expected).
Fields of papers citing papers by Philip C. Hanna
This network shows the impact of papers produced by Philip C. Hanna. 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 Philip C. Hanna. The network helps show where Philip C. Hanna may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philip C. Hanna, 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 | 2022 | 6 | |
| 2 | 2018 | 24 | |
| 3 | 2015 | 39 | |
| 4 | 2013 | 63 | |
| 5 | 2012 | 34 | |
| 6 | 2012 | 16 | |
| 7 | 2010 | 23 | |
| 8 | 2010 | 26 | |
| 9 | 2010 | 20 | |
| 10 | 2009 | 40 | |
| 11 | 2007 | 33 | |
| 12 | 2006 | 83 | |
| 13 | 2006 | 35 | |
| 14 | 2006 | 32 | |
| 15 | 2005 | 80 | |
| 16 | 2005 | 36 | |
| 17 | 2001 | 298 | |
| 18 | Anthraxbreakdown → | 1999 | 673 |
| 19 | 1991 | 30 | |
| 20 | 1988 | 62 |
About Philip C. Hanna
Philip C. Hanna is a scholar working on Genetics, Endocrinology and Biotechnology, having authored 65 papers that have together received 4.4k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (40 papers), Bacterial Genetics and Biotechnology (37 papers), Bacteriophages and microbial interactions (13 papers), Clostridium difficile and Clostridium perfringens research (13 papers), Viral gastroenteritis research and epidemiology (8 papers), Microbial Inactivation Methods (7 papers), Yersinia bacterium, plague, ectoparasites research (7 papers) and Toxin Mechanisms and Immunotoxins (7 papers). The work is most often cited by research in Endocrinology (404 citations), Biotechnology (640 citations) and Genetics (1.8k citations). Philip C. Hanna has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Terry C. Dixon, Matthew Meselson, Jeanne Guillemin, Bruce A. McClane, R. John Collier, Nicholas H. Bergman, Michael J. Mahan, Nathan Fisher, David H. Sherman and Brian K. Janes. Their work appears in journals such as Nature, New England Journal of Medicine 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.