Peter Hume
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Food Science top 5%
- Salmonella and Campylobacter epidemiology
Papers in
-
- Lipid Membrane Structure and Behavior 3
- Cell Biology 11
- Cellular transport and secretion 8
- Cellular Mechanics and Interactions 6
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Vassilis Koronakis (22 shared papers)Daniel Humphreys (11 shared papers)Emma J. McGhie (5 shared papers)Anthony C. Davidson (12 shared papers)Vikash Singh (6 shared papers)Richard D. Hayward (4 shared papers)Tao Liu (2 shared papers)Ole B. Hørning (1 shared paper)
- Journals
- Molecular Microbiology (3 papers)Cell Host & Microbe (3 papers)mBio (3 papers)Journal of Cell Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United KingdomSouth SudanSingapore
In The Last Decade
Peter Hume
21 papers receiving 963 citations
Peers
Comparison fields: 5 of 70
- Endocrinology 382
- Food Science 290
- Cell Biology 251
- Molecular Medicine 56
- Infectious Diseases 138
Countries citing papers authored by Peter Hume
This map shows the geographic impact of Peter Hume'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 Peter Hume with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Hume more than expected).
Fields of papers citing papers by Peter Hume
This network shows the impact of papers produced by Peter Hume. 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 Peter Hume. The network helps show where Peter Hume may publish in the future.
Co-authors
The 16 scholars most cited alongside Peter Hume, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 256 | |
| 2 | 2011 | 109 | |
| 3 | 2012 | 76 | |
| 4 | 2017 | 74 | |
| 5 | 2013 | 67 | |
| 6 | 2009 | 64 | |
| 7 | 2003 | 58 | |
| 8 | 2010 | 52 | |
| 9 | 2002 | 44 | |
| 10 | 2017 | 31 | |
| 11 | 2015 | 29 | |
| 12 | 2012 | 20 | |
| 13 | 2002 | 19 | |
| 14 | 2008 | 17 | |
| 15 | 2014 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2020 | 7 | |
| 20 | 2023 | 3 |
About Peter Hume
Peter Hume is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Food Science and Genetics, having authored 22 papers that have together received 971 indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Vibrio bacteria research studies (7 papers), Salmonella and Campylobacter epidemiology (7 papers), Escherichia coli research studies (6 papers), Cellular Mechanics and Interactions (6 papers), Lipid Membrane Structure and Behavior (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Endocrinology (382 citations), Food Science (290 citations), Cell Biology (251 citations), Molecular Medicine (56 citations) and Infectious Diseases (138 citations). Peter Hume has collaborated with scholars based in United Kingdom, South Sudan and Singapore. Frequent co-authors include Vassilis Koronakis, Daniel Humphreys, Emma J. McGhie, Anthony C. Davidson, Vikash Singh, Richard D. Hayward, Tao Liu, Ole B. Hørning, Ole N. Jensen and Laura Makin. Their work appears in journals such as Molecular Microbiology, Cell Host & Microbe, mBio, Journal of Cell Science 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.