Celina Jin
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
Papers in
-
- Viral gastroenteritis research and epidemiology 16
- Food Science 17
- Salmonella and Campylobacter epidemiology 17
- Co-authors
- Andrew J. Pollard (22 shared papers)Ly‐Mee Yu (4 shared papers)Elizabeth Jones (11 shared papers)Malick M. Gibani (10 shared papers)Jennifer Hill (12 shared papers)Brian Angus (4 shared papers)Helene Bæk Juel (2 shared papers)Christoph J. Blohmke (6 shared papers)
- Journals
- Clinical Infectious Diseases (4 papers)Frontiers in Immunology (4 papers)Infection and Immunity (2 papers)Journal of Travel Medicine (2 papers)Biologicals (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Celina Jin
27 papers receiving 557 citations
Peers
Comparison fields: 5 of 64
- Endocrinology 177
- Infectious Diseases 305
- Microbiology 100
- Food Science 285
- Hepatology 42
Countries citing papers authored by Celina Jin
This map shows the geographic impact of Celina Jin'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 Celina Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Celina Jin more than expected).
Fields of papers citing papers by Celina Jin
This network shows the impact of papers produced by Celina Jin. 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 Celina Jin. The network helps show where Celina Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Celina Jin, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 200 | |
| 2 | 2010 | 69 | |
| 3 | 2020 | 45 | |
| 4 | 2019 | 32 | |
| 5 | 2021 | 32 | |
| 6 | 2019 | 23 | |
| 7 | 2018 | 23 | |
| 8 | 2018 | 21 | |
| 9 | 2019 | 21 | |
| 10 | 2012 | 17 | |
| 11 | 2016 | 11 | |
| 12 | 2021 | 9 | |
| 13 | 2014 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2015 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2023 | 4 |
About Celina Jin
Celina Jin is a scholar working on Infectious Diseases, Food Science, Epidemiology, Immunology and Endocrinology, having authored 27 papers that have together received 573 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (17 papers), Viral gastroenteritis research and epidemiology (16 papers), Influenza Virus Research Studies (3 papers), Pneumonia and Respiratory Infections (3 papers), Vibrio bacteria research studies (3 papers), Bacterial Infections and Vaccines (3 papers), Animal Virus Infections Studies (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Endocrinology (177 citations), Infectious Diseases (305 citations), Microbiology (100 citations), Food Science (285 citations) and Hepatology (42 citations). Celina Jin has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Andrew J. Pollard, Ly‐Mee Yu, Elizabeth Jones, Malick M. Gibani, Jennifer Hill, Brian Angus, Helene Bæk Juel, Christoph J. Blohmke, Maria Moore and Helena Thomaides‐Brears. Their work appears in journals such as Clinical Infectious Diseases, Frontiers in Immunology, Infection and Immunity, Journal of Travel Medicine and Biologicals.
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.