Jillian Gauld
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Food Science top 10%
- Salmonella and Campylobacter epidemiology
Papers in
- Food Science 10
- Salmonella and Campylobacter epidemiology 10
-
- Viral gastroenteritis research and epidemiology 5
- SARS-CoV-2 and COVID-19 Research 2
- Clostridium difficile and Clostridium perfringens research 1
- Co-authors
- Hao Hu (2 shared papers)Nicholas Feasey (7 shared papers)M. M. Levine (1 shared paper)Daniel J. Klein (1 shared paper)Jonathan Michael Read (4 shared papers)Peter John Diggle (4 shared papers)Jason Randolph Andrews (2 shared papers)Jong‐Hoon Kim (2 shared papers)
- Journals
- Clinical Infectious Diseases (3 papers)Vaccine (2 papers)Epidemiology and Infection (1 paper)PLoS neglected tropical diseases (1 paper)Environmental Health (1 paper)
- Partner nations
- United StatesUnited KingdomMalawi
In The Last Decade
Jillian Gauld
12 papers receiving 174 citations
Peers
Comparison fields: 5 of 51
- Endocrinology 51
- Food Science 108
- Applied Microbiology and Biotechnology 8
- Infectious Diseases 54
- Molecular Medicine 11
Countries citing papers authored by Jillian Gauld
This map shows the geographic impact of Jillian Gauld'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 Jillian Gauld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jillian Gauld more than expected).
Fields of papers citing papers by Jillian Gauld
This network shows the impact of papers produced by Jillian Gauld. 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 Jillian Gauld. The network helps show where Jillian Gauld may publish in the future.
Co-authors
The 25 scholars most cited alongside Jillian Gauld, 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 | 2018 | 61 | |
| 2 | 2018 | 23 | |
| 3 | 2019 | 21 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 13 | |
| 6 | 2022 | 8 | |
| 7 | 2016 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 2 | |
| 13 | 2025 | 0 |
About Jillian Gauld
Jillian Gauld is a scholar working on Food Science, Infectious Diseases, Endocrinology, Modeling and Simulation and Biotechnology, having authored 13 papers that have together received 178 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (10 papers), Viral gastroenteritis research and epidemiology (5 papers), Vibrio bacteria research studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Listeria monocytogenes in Food Safety (1 paper), COVID-19 epidemiological studies (1 paper), Child Nutrition and Water Access (1 paper) and Clostridium difficile and Clostridium perfringens research (1 paper). The work is most often cited by research in Endocrinology (51 citations), Food Science (108 citations), Applied Microbiology and Biotechnology (8 citations), Infectious Diseases (54 citations) and Molecular Medicine (11 citations). Jillian Gauld has collaborated with scholars based in United States, United Kingdom and Malawi. Frequent co-authors include Hao Hu, Nicholas Feasey, M. M. Levine, Daniel J. Klein, Jonathan Michael Read, Peter John Diggle, Jason Randolph Andrews, Jong‐Hoon Kim, Nathan C. Lo and Marina Antillón. Their work appears in journals such as Clinical Infectious Diseases, Vaccine, Epidemiology and Infection, PLoS neglected tropical diseases and Environmental Health.
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.