Cong Jin
Impact in
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- HIV/AIDS Research and Interventions
-
- Vector-Borne Animal Diseases
Papers in
-
- Viral Infections and Vectors 7
- Viral Infections and Outbreaks Research 6
- HIV/AIDS Research and Interventions 4
- Virology 4
- HIV Research and Treatment 4
- Co-authors
- Mifang Liang (4 shared papers)Dexin Li (4 shared papers)Chuan Li (3 shared papers)Zheng Xing (2 shared papers)Shiwen Wang (2 shared papers)Zhenqiang Bi (1 shared paper)Mei Jiang (1 shared paper)Xianjun Wang (1 shared paper)
- Journals
- Biosafety and Health (2 papers)JMIR Public Health and Surveillance (2 papers)Emerging infectious diseases (1 paper)Public Health (1 paper)Journal of Virology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Cong Jin
15 papers receiving 632 citations
Peers
Comparison fields: 5 of 56
- Infectious Diseases 575
- Ecology, Evolution, Behavior and Systematics 239
- Global and Planetary Change 163
- Public Health, Environmental and Occupational Health 108
- Virology 16
Countries citing papers authored by Cong Jin
This map shows the geographic impact of Cong 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 Cong Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Jin more than expected).
Fields of papers citing papers by Cong Jin
This network shows the impact of papers produced by Cong 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 Cong Jin. The network helps show where Cong Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 236 | |
| 2 | 2013 | 219 | |
| 3 | 2013 | 74 | |
| 4 | 2015 | 30 | |
| 5 | 2016 | 21 | |
| 6 | 2020 | 15 | |
| 7 | 2022 | 13 | |
| 8 | 2020 | 12 | |
| 9 | 2019 | 9 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2024 | 2 | |
| 13 | 2013 | 2 | |
| 14 | Analysis of the meteorological conditions for the occurrence of hemorrhagic fever in Gannan | 2014 | 1 |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Cong Jin
Cong Jin is a scholar working on Infectious Diseases, Virology, Epidemiology, Ecology, Evolution, Behavior and Systematics and Modeling and Simulation, having authored 18 papers that have together received 648 indexed citations. Recurring topics across this work include Viral Infections and Vectors (7 papers), Viral Infections and Outbreaks Research (6 papers), HIV/AIDS Research and Interventions (4 papers), HIV Research and Treatment (4 papers), Vector-Borne Animal Diseases (2 papers), COVID-19 epidemiological studies (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Infectious Diseases (575 citations), Ecology, Evolution, Behavior and Systematics (239 citations), Global and Planetary Change (163 citations), Public Health, Environmental and Occupational Health (108 citations) and Virology (16 citations). Cong Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mifang Liang, Dexin Li, Chuan Li, Zheng Xing, Shiwen Wang, Zhenqiang Bi, Mei Jiang, Xianjun Wang, Jiandong Li and Guoyu Niu. Their work appears in journals such as Biosafety and Health, JMIR Public Health and Surveillance, Emerging infectious diseases, Public Health and Journal of Virology.
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.