Yu Cong
Impact in
- Infectious Diseases top 5%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
- COVID-19 Clinical Research Studies
-
- Virology and Viral Diseases
- Respiratory viral infections research
Papers in
-
- Viral Infections and Vectors 8
- Viral Infections and Outbreaks Research 6
- SARS-CoV-2 and COVID-19 Research 4
-
- Virology and Viral Diseases 6
- Hepatitis B Virus Studies 2
- Respiratory viral infections research 2
- Co-authors
- Peter B. Jahrling (11 shared papers)Michael R. Holbrook (10 shared papers)Elena Postnikova (7 shared papers)Lisa E. Hensley (6 shared papers)Julie Dyall (5 shared papers)Shuǐqìng Yú (4 shared papers)Huanying Zhou (5 shared papers)Brit J. Hart (4 shared papers)
- Journals
- PLoS neglected tropical diseases (4 papers)The Journal of Infectious Diseases (4 papers)PLoS ONE (2 papers)Viruses (1 paper)npj Vaccines (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Yu Cong
18 papers receiving 369 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 239
- Epidemiology 166
- Virology 23
- Modeling and Simulation 12
- Public Health, Environmental and Occupational Health 62
Countries citing papers authored by Yu Cong
This map shows the geographic impact of Yu Cong'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 Yu Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Cong more than expected).
Fields of papers citing papers by Yu Cong
This network shows the impact of papers produced by Yu Cong. 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 Yu Cong. The network helps show where Yu Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Cong, 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 | 81 | |
| 2 | 2017 | 64 | |
| 3 | 2017 | 38 | |
| 4 | 2018 | 32 | |
| 5 | 2016 | 32 | |
| 6 | 2018 | 25 | |
| 7 | 2018 | 21 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 14 | |
| 10 | 2018 | 13 | |
| 11 | 2017 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2023 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2023 | 2 | |
| 16 | Predictive Value of Lymphocyte-Related Blood Parameters at the Time Point of Lymphocyte Nadir During Radiotherapy in Breast Cancer | 2020 | 1 |
| 17 | 2023 | 1 | |
| 18 | [The clinical and enzymatic changes in patients with viral hepatitis G infection]. | 1998 | 1 |
About Yu Cong
Yu Cong is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Emergency Medical Services and Surgery, having authored 18 papers that have together received 379 indexed citations. Recurring topics across this work include Viral Infections and Vectors (8 papers), Virology and Viral Diseases (6 papers), Viral Infections and Outbreaks Research (6 papers), Mosquito-borne diseases and control (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Disaster Response and Management (2 papers), Hepatitis B Virus Studies (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Infectious Diseases (239 citations), Epidemiology (166 citations), Virology (23 citations), Modeling and Simulation (12 citations) and Public Health, Environmental and Occupational Health (62 citations). Yu Cong has collaborated with scholars based in United States and China. Frequent co-authors include Peter B. Jahrling, Michael R. Holbrook, Elena Postnikova, Lisa E. Hensley, Julie Dyall, Shuǐqìng Yú, Huanying Zhou, Brit J. Hart, Robin Gross and Pramila Walpita. Their work appears in journals such as PLoS neglected tropical diseases, The Journal of Infectious Diseases, PLoS ONE, Viruses and npj Vaccines.
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.