Gemma Chaloner
Impact in
- Food Science top 2%
- Salmonella and Campylobacter epidemiology
- Probiotics and Fermented Foods
- Animal Science and Zoology top 2%
- Animal Nutrition and Physiology
Papers in
-
- Salmonella and Campylobacter epidemiology 7
-
- Viral gastroenteritis research and epidemiology 3
- Viral Infections and Vectors 2
- Co-authors
- Nicola Williams (7 shared papers)Paul Wigley (6 shared papers)Suzanne Humphrey (6 shared papers)Kirsty Kemmett (3 shared papers)Anja Kipar (1 shared paper)Richard J. Birtles (4 shared papers)Lizeth Lacharme‐Lora (4 shared papers)T. J. Humphrey (1 shared paper)
- Journals
- PLoS neglected tropical diseases (2 papers)Applied and Environmental Microbiology (1 paper)Journal of Clinical Microbiology (1 paper)Scientific Reports (1 paper)mBio (1 paper)
- Partner nations
- United KingdomKenyaSwitzerland
In The Last Decade
Gemma Chaloner
11 papers receiving 566 citations
Peers
Comparison fields: 5 of 54
- Food Science 405
- Animal Science and Zoology 215
- Infectious Diseases 235
- Parasitology 85
- Endocrinology 62
Countries citing papers authored by Gemma Chaloner
This map shows the geographic impact of Gemma Chaloner'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 Gemma Chaloner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma Chaloner more than expected).
Fields of papers citing papers by Gemma Chaloner
This network shows the impact of papers produced by Gemma Chaloner. 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 Gemma Chaloner. The network helps show where Gemma Chaloner may publish in the future.
Co-authors
The 25 scholars most cited alongside Gemma Chaloner, 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 | 2014 | 241 | |
| 2 | 2013 | 70 | |
| 3 | 2018 | 51 | |
| 4 | 2014 | 50 | |
| 5 | 2016 | 39 | |
| 6 | 2017 | 30 | |
| 7 | 2011 | 25 | |
| 8 | 2015 | 24 | |
| 9 | 2011 | 23 | |
| 10 | 2012 | 19 | |
| 11 | Optimization of Bartonella henselae multilocus sequence typing scheme using single-nucleotide polymorphism analysis of SOLiD sequence data. | 2012 | 3 |
About Gemma Chaloner
Gemma Chaloner is a scholar working on Food Science, Infectious Diseases, Parasitology, Animal Science and Zoology and Small Animals, having authored 11 papers that have together received 575 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (7 papers), Bartonella species infections research (4 papers), Animal Nutrition and Physiology (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Veterinary medicine and infectious diseases (2 papers), Vector-borne infectious diseases (2 papers), Viral Infections and Vectors (2 papers) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Food Science (405 citations), Animal Science and Zoology (215 citations), Infectious Diseases (235 citations), Parasitology (85 citations) and Endocrinology (62 citations). Gemma Chaloner has collaborated with scholars based in United Kingdom, Kenya and Switzerland. Frequent co-authors include Nicola Williams, Paul Wigley, Suzanne Humphrey, Kirsty Kemmett, Anja Kipar, Richard J. Birtles, Lizeth Lacharme‐Lora, T. J. Humphrey, Timothy G. Harrison and Palmira Ventosilla. Their work appears in journals such as PLoS neglected tropical diseases, Applied and Environmental Microbiology, Journal of Clinical Microbiology, Scientific Reports 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.