Jie Sun
- Immunology top 0.5%
- Molecular Biology top 5%
- Epidemiology top 2%
- Infectious Diseases top 2%
- Oncology top 5%
- Co-authors
- Thomas J. BracialeEdward J. PearceTaeg S. KimConnie M. KrawczykRajat MadanChristopher L. KarpRussell G. JonesRalph J. DeBerardinis
- Topics
- Immune Cell Function and Interaction (50 papers)T-cell and B-cell Immunology (29 papers)Immune Response and Inflammation (22 papers)
- Cited by
- ImmunologyParasitologyEpidemiology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jie Sun
121 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Immunology 3.6k
- Molecular Biology 1.3k
- Epidemiology 1.3k
- Infectious Diseases 624
- Oncology 583
Countries citing papers authored by Jie Sun
This map shows the geographic impact of Jie 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 Jie Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Sun more than expected).
Fields of papers citing papers by Jie Sun
This network shows the impact of papers produced by Jie 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 Jie Sun. The network helps show where Jie Sun may publish in the future.
Co-authorship network of co-authors of Jie Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Jie Sun. A scholar is included among the top collaborators of Jie Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jie Sun. Jie Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 6 | |
| 3 | 17 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 21 | |
| 8 | 39 | |
| 9 | 103 | |
| 10 | 21 | |
| 11 | 137 | |
| 12 | 12 | |
| 13 | 90 | |
| 14 | 97 | |
| 15 | 34 | |
| 16 | Poly-ADP-ribosyl polymerase-14 promotes T helper 17 and follicular T helper development | 2 |
| 17 | Analysis of Anther Culture Ability and Combining Ability in the North Japonica Rice | 1 |
| 18 | 2 | |
| 19 | 10 | |
| 20 | 147 |
About Jie Sun
Jie Sun is a scholar working on Immunology, Parasitology and Epidemiology, having authored 123 papers that have together received 5.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (50 papers), T-cell and B-cell Immunology (29 papers) and Immune Response and Inflammation (22 papers). The work is most often cited by research in Immunology (3.6k citations), Parasitology (379 citations) and Epidemiology (1.3k citations). Jie Sun has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Thomas J. Braciale, Edward J. Pearce, Taeg S. Kim, Connie M. Krawczyk, Rajat Madan, Christopher L. Karp, Russell G. Jones, Ralph J. DeBerardinis, Thomas Holowka and Justin R. Cross. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.