Jonathan Sun
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Antibiotic Resistance in Bacteria 2
-
- MicroRNA in disease regulation 3
- Co-authors
- Carlos F Fernandez-Hernando (9 shared papers)Yajaira Suárez (9 shared papers)Nathan L. Price (6 shared papers)Alberto Canfrán‐Duque (5 shared papers)Noemí Rotllán (4 shared papers)Balkrishna Chaube (2 shared papers)Xinbo Zhang (3 shared papers)Binod Kumar Aryal (3 shared papers)
- Journals
- Journal of Clinical Investigation (2 papers)JCI Insight (2 papers)Clinical Infectious Diseases (1 paper)Nature Communications (1 paper)Mathematical Biosciences & Engineering (1 paper)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Jonathan Sun
17 papers receiving 1.6k citations
Jonathan Sun's Hit Papers
Peers
Comparison fields: 5 of 112
- Infectious Diseases 715
- Modeling and Simulation 64
- Cancer Research 143
- Immunology 191
- Aging 13
Countries citing papers authored by Jonathan Sun
This map shows the geographic impact of Jonathan Sun'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 Jonathan Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Sun more than expected).
Fields of papers citing papers by Jonathan Sun
This network shows the impact of papers produced by Jonathan Sun. 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 Jonathan Sun. The network helps show where Jonathan Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Sun, 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 | Sex differences in immune responses that underlie COVID-19 disease outcomes Hit paper breakdown → | 2020 | 1077 |
| 2 | 2019 | 117 | |
| 3 | 2022 | 89 | |
| 4 | 2021 | 88 | |
| 5 | 2022 | 67 | |
| 6 | 2024 | 47 | |
| 7 | 2021 | 44 | |
| 8 | 2012 | 32 | |
| 9 | 2021 | 27 | |
| 10 | 2021 | 25 | |
| 11 | 2024 | 17 | |
| 12 | 2024 | 15 | |
| 13 | 2019 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2023 | 0 |
About Jonathan Sun
Jonathan Sun is a scholar working on Molecular Medicine, Cancer Research, Immunology, Management of Technology and Innovation and Hepatology, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), RNA Interference and Gene Delivery (2 papers), Cholesterol and Lipid Metabolism (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Antibiotic Resistance in Bacteria (2 papers), COVID-19 Clinical Research Studies (1 paper), Immune cells in cancer (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Infectious Diseases (715 citations), Modeling and Simulation (64 citations), Cancer Research (143 citations), Immunology (191 citations) and Aging (13 citations). Jonathan Sun has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Carlos F Fernandez-Hernando, Yajaira Suárez, Nathan L. Price, Alberto Canfrán‐Duque, Noemí Rotllán, Balkrishna Chaube, Xinbo Zhang, Binod Kumar Aryal, Yana K. Reshetnyak and Raman Bahal. Their work appears in journals such as Journal of Clinical Investigation, JCI Insight, Clinical Infectious Diseases, Nature Communications and Mathematical Biosciences & Engineering.
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.