Cong Sun
Impact in
- Obstetrics and Gynecology top 10%
- Gestational Diabetes Research and Management
- Oncology top 10%
- Viral-associated cancers and disorders
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 24
- Viral-associated cancers and disorders 16
- Epidemiology 18
- Cytomegalovirus and herpesvirus research 12
- Herpesvirus Infections and Treatments 6
- Co-authors
- Mu‐Sheng Zeng (29 shared papers)Chu Xie (19 shared papers)Yinfeng Kang (9 shared papers)Guo‐Long Bu (11 shared papers)Zheng Liu (10 shared papers)Xinchun Chen (1 shared paper)Yanxin Wu (2 shared papers)Wai‐Kit Ming (2 shared papers)
- Journals
- Signal Transduction and Targeted Therapy (3 papers)Nature Communications (2 papers)Frontiers in Immunology (2 papers)BMC Pregnancy and Childbirth (2 papers)Advanced Science (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Cong Sun
46 papers receiving 725 citations
Peers
Comparison fields: 5 of 90
- Obstetrics and Gynecology 90
- Oncology 279
- Immunology 166
- Infectious Diseases 138
- Epidemiology 154
Countries citing papers authored by Cong Sun
This map shows the geographic impact of Cong 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 Cong Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Sun more than expected).
Fields of papers citing papers by Cong Sun
This network shows the impact of papers produced by Cong 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 Cong Sun. The network helps show where Cong Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | 2022 | 79 | |
| 3 | 2021 | 65 | |
| 4 | 2022 | 40 | |
| 5 | 2022 | 33 | |
| 6 | 2019 | 31 | |
| 7 | 2021 | 30 | |
| 8 | 2015 | 29 | |
| 9 | 2021 | 25 | |
| 10 | 2020 | 25 | |
| 11 | 2022 | 25 | |
| 12 | 2023 | 21 | |
| 13 | 2021 | 21 | |
| 14 | 2023 | 20 | |
| 15 | 2019 | 19 | |
| 16 | 2017 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2019 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2020 | 10 |
About Cong Sun
Cong Sun is a scholar working on Oncology, Epidemiology, Infectious Diseases, Immunology and Pathology and Forensic Medicine, having authored 47 papers that have together received 737 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (16 papers), Cytomegalovirus and herpesvirus research (12 papers), Immune Cell Function and Interaction (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Herpesvirus Infections and Treatments (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Parvovirus B19 Infection Studies (4 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Obstetrics and Gynecology (90 citations), Oncology (279 citations), Immunology (166 citations), Infectious Diseases (138 citations) and Epidemiology (154 citations). Cong Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mu‐Sheng Zeng, Chu Xie, Yinfeng Kang, Guo‐Long Bu, Zheng Liu, Xinchun Chen, Yanxin Wu, Wai‐Kit Ming, Shumei Yan and Hanqing Chen. Their work appears in journals such as Signal Transduction and Targeted Therapy, Nature Communications, Frontiers in Immunology, BMC Pregnancy and Childbirth and Advanced Science.
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.