Zhibin Chen
- Immunology top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Genetics top 2%
- Molecular Biology
- Oncology top 10%
- Co-authors
- Christophe BenoıstDiane MathisEmily S. VenanziStuart P. BerzinsMark S. AndersonShannon J. TurleyLudger KleinRoderick T. Bronson
- Topics
- Immune Cell Function and Interaction (20 papers)T-cell and B-cell Immunology (19 papers)Immunotherapy and Immune Responses (8 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Zhibin Chen
64 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Immunology 2.3k
- Endocrinology, Diabetes and Metabolism 816
- Genetics 778
- Molecular Biology 581
- Oncology 441
Countries citing papers authored by Zhibin Chen
This map shows the geographic impact of Zhibin Chen'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 Zhibin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhibin Chen more than expected).
Fields of papers citing papers by Zhibin Chen
This network shows the impact of papers produced by Zhibin Chen. 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 Zhibin Chen. The network helps show where Zhibin Chen may publish in the future.
Co-authorship network of co-authors of Zhibin Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Zhibin Chen. A scholar is included among the top collaborators of Zhibin Chen 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 Zhibin Chen. Zhibin Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | Protective function and mechanism of quercetin in chronic obstructive pulmonary disease. | 2 |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 95 | |
| 9 | 6 | |
| 10 | 88 | |
| 11 | 19 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | Anti-proteinuric effect of sulodexide in adriamycin-induced nephropathy rats | 4 |
| 15 | 7 | |
| 16 | 17 | |
| 17 | 19 | |
| 18 | Association analysis between Interleukin-1B-511 polymorphism and aggressive periodontitis. | 1 |
| 19 | Projection of an Immunological Self Shadow Within the Thymus by the Aire Proteinbreakdown → | 1744 |
| 20 | 83 |
About Zhibin Chen
Zhibin Chen is a scholar working on Immunology, Periodontics and Oncology, having authored 69 papers that have together received 3.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (19 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Immunology (2.3k citations), Endocrinology, Diabetes and Metabolism (816 citations) and Genetics (778 citations). Zhibin Chen has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Christophe Benoıst, Diane Mathis, Emily S. Venanzi, Stuart P. Berzins, Mark S. Anderson, Shannon J. Turley, Ludger Klein, Roderick T. Bronson, Harald von Boehmer and Andrée Dierich. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.