Jun Qin
- Immunology and Allergy top 0.05%
- Cell Adhesion Molecules Research 63
- Cell Biology top 0.2%
- Cellular Mechanics and Interactions 27
- Molecular Biology top 0.5%
- Protein Structure and Dynamics 14
- RNA and protein synthesis mechanisms 14
- RNA Research and Splicing 13
- Biochemical and Structural Characterization 13
- Glycosylation and Glycoproteins Research 12
- Hematology top 1%
- Immunology top 1%
-
- Enzyme Structure and Function 13
- Co-authors
- Edward F. PlowChuanyue WuBrian T. ChaitAngela M. GronenbornOlga VinogradovaG. Marius CloreXiaolong ZhangYan-Qing Ma
- Journals
- Journal of Biological Chemistry (33 papers)Biochemistry (12 papers)Proceedings of the National Academy of Sciences (9 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jun Qin
220 papers receiving 13.0k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Immunology and Allergy 3.3k
- Cell Biology 2.9k
- Molecular Biology 8.4k
- Hematology 888
- Immunology 1.6k
Countries citing papers authored by Jun Qin
This map shows the geographic impact of Jun Qin'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 Jun Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Qin more than expected).
Fields of papers citing papers by Jun Qin
This network shows the impact of papers produced by Jun Qin. 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 Jun Qin. The network helps show where Jun Qin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Qin, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 9 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 34 | |
| 10 | 2019 | 34 | |
| 11 | 2018 | 53 | |
| 12 | 2018 | 88 | |
| 13 | 2013 | 69 | |
| 14 | 2013 | 97 | |
| 15 | 2012 | 13 | |
| 16 | 2009 | 125 | |
| 17 | Fallen temperature effects at green patches of urban residential areas and analysis of its influence factors. | 2009 | 3 |
| 18 | 2005 | 59 | |
| 19 | Study and Implementation of Message Communication Based on MSMQ | 2004 | 0 |
| 20 | 1993 | 25 |
About Jun Qin
Jun Qin is a scholar working on Immunology and Allergy, Cell Biology, Molecular Biology, Immunology and Spectroscopy, having authored 233 papers that have together received 13.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (63 papers), Cellular Mechanics and Interactions (27 papers), Protein Structure and Dynamics (14 papers), RNA and protein synthesis mechanisms (14 papers), RNA Research and Splicing (13 papers), Enzyme Structure and Function (13 papers), Biochemical and Structural Characterization (13 papers) and Glycosylation and Glycoproteins Research (12 papers). The work is most often cited by research in Immunology and Allergy (3.3k citations), Cell Biology (2.9k citations), Molecular Biology (8.4k citations), Hematology (888 citations) and Immunology (1.6k citations). Jun Qin has collaborated with scholars based in United States, China and France. Frequent co-authors include Edward F. Plow, Chuanyue Wu, Brian T. Chait, Angela M. Gronenborn, Olga Vinogradova, G. Marius Clore, Xiaolong Zhang, Yan-Qing Ma, Vasily Ogryzko and Koichi Fukuda. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Proceedings of the National Academy of Sciences, Analytical Chemistry and Structure.
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.