Celina Jin
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Food Science top 5%
- Salmonella and Campylobacter epidemiology
Papers in
- Food Science 17
- Salmonella and Campylobacter epidemiology 17
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- Viral gastroenteritis research and epidemiology 13
- 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)Christoph J. Blohmke (6 shared papers)Brian Angus (4 shared papers)Helene Bæk Juel (2 shared papers)
- Journals
- Clinical Infectious Diseases (4 papers)Frontiers in Immunology (4 papers)Journal of Travel Medicine (2 papers)Infection and Immunity (2 papers)Science Immunology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Celina Jin
27 papers receiving 575 citations
Peers
Comparison fields: 5 of 57
- Endocrinology 125
- Food Science 284
- Microbiology 83
- Infectious Diseases 230
- Immunology 78
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 | 203 | |
| 2 | 2010 | 70 | |
| 3 | 2020 | 48 | |
| 4 | 2021 | 35 | |
| 5 | 2019 | 34 | |
| 6 | 2018 | 24 | |
| 7 | 2019 | 23 | |
| 8 | 2018 | 22 | |
| 9 | 2019 | 21 | |
| 10 | 2012 | 18 | |
| 11 | 2016 | 11 | |
| 12 | 2014 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2015 | 6 | |
| 20 | 2023 | 5 |
About Celina Jin
Celina Jin is a scholar working on Food Science, Infectious Diseases, Immunology, Molecular Biology and Epidemiology, having authored 27 papers that have together received 592 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (17 papers), Viral gastroenteritis research and epidemiology (13 papers), Bacterial Infections and Vaccines (3 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Hepatitis B Virus Studies (2 papers), Escherichia coli research studies (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Endocrinology (125 citations), Food Science (284 citations), Microbiology (83 citations), Infectious Diseases (230 citations) and Immunology (78 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, Christoph J. Blohmke, Brian Angus, Helene Bæk Juel, Maria Moore and Helena Thomaides‐Brears. Their work appears in journals such as Clinical Infectious Diseases, Frontiers in Immunology, Journal of Travel Medicine, Infection and Immunity and Science Immunology.
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.