Ian R. Henderson
- Endocrinology top 0.02%
- Escherichia coli research studies 65
- Vibrio bacteria research studies 12
- Molecular Medicine top 0.1%
- Antibiotic Resistance in Bacteria 21
- Microbiology top 0.2%
- Infectious Diseases top 0.5%
- Viral gastroenteritis research and epidemiology 25
- Genetics top 0.2%
- Bacterial Genetics and Biotechnology 65
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- Bacteriophages and microbial interactions 40
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- RNA and protein synthesis mechanisms 33
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- Salmonella and Campylobacter epidemiology 18
- Co-authors
- James P. NataroFernando Navarro‐GarcíaMickaël DesvauxRoy R. ChaudhuriPeter OwenAnthony Scott-TuckerJohn R. CzeczulinAdam F. Cunningham
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Ian R. Henderson
193 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Endocrinology 4.7k
- Molecular Medicine 1.6k
- Microbiology 902
- Infectious Diseases 2.4k
- Genetics 3.2k
Countries citing papers authored by Ian R. Henderson
This map shows the geographic impact of Ian R. Henderson'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 Ian R. Henderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian R. Henderson more than expected).
Fields of papers citing papers by Ian R. Henderson
This network shows the impact of papers produced by Ian R. Henderson. 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 Ian R. Henderson. The network helps show where Ian R. Henderson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ian R. Henderson, 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 | 2026 | 0 | |
| 2 | 2026 | 0 | |
| 3 | 2025 | 4 | |
| 4 | Antibiotics in the clinical pipeline as of December 2022breakdown → | 2023 | 129 |
| 5 | 2023 | 5 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 5 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 7 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 61 | |
| 12 | 2018 | 6 | |
| 13 | 2018 | 28 | |
| 14 | 2018 | 46 | |
| 15 | 2013 | 58 | |
| 16 | 2004 | 27 | |
| 17 | 2002 | 18 | |
| 18 | 1997 | 7 | |
| 19 | 1996 | 36 | |
| 20 | 1996 | 45 |
About Ian R. Henderson
Ian R. Henderson is a scholar working on Endocrinology, Molecular Medicine and Genetics, having authored 204 papers that have together received 11.0k indexed citations. Recurring topics across this work include Escherichia coli research studies (65 papers), Bacterial Genetics and Biotechnology (65 papers), Bacteriophages and microbial interactions (40 papers), RNA and protein synthesis mechanisms (33 papers), Viral gastroenteritis research and epidemiology (25 papers), Antibiotic Resistance in Bacteria (21 papers), Salmonella and Campylobacter epidemiology (18 papers) and Vibrio bacteria research studies (12 papers). The work is most often cited by research in Endocrinology (4.7k citations), Molecular Medicine (1.6k citations) and Microbiology (902 citations). Ian R. Henderson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include James P. Nataro, Fernando Navarro‐García, Mickaël Desvaux, Roy R. Chaudhuri, Peter Owen, James P. Nataro, Anthony Scott-Tucker, John R. Czeczulin, Adam F. Cunningham and Rachel C. Fernandez. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.