Jun Qin
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- Molecular Biology top 2%
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
-
- Ubiquitin and proteasome pathways 7
- RNA Research and Splicing 7
- DNA Repair Mechanisms 4
- Epigenetics and DNA Methylation 4
- Spectroscopy 11
- Advanced Proteomics Techniques and Applications 11
- Co-authors
- Stephen J. Elledge (2 shared papers)David Cortez (2 shared papers)Yi Wang (2 shared papers)Parvin T. Yazdi (1 shared paper)Norma Neff (1 shared paper)Bei Zhen (8 shared papers)Xin Zhou (2 shared papers)Zhiwei Lian (2 shared papers)
- Journals
- Molecular & Cellular Proteomics (5 papers)Nature Communications (4 papers)EBioMedicine (4 papers)Journal of Proteome Research (4 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Jun Qin
61 papers receiving 3.5k citations
Jun Qin's Hit Papers
Peers
Comparison fields: 5 of 136
- Cancer Research 551
- Molecular Biology 2.5k
- Oncology 747
- Aging 48
- Genetics 650
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-authors
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
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | BASC, a super complex of BRCA1-associated proteins involved in the recognition and repair of aberrant DNA structures Hit paper breakdown → | 2000 | 994 |
| 2 | Requirement of ATM-Dependent Phosphorylation of Brca1 in the DNA Damage Response to Double-Strand Breaks Hit paper breakdown → | 1999 | 809 |
| 3 | 2017 | 159 | |
| 4 | 2018 | 125 | |
| 5 | 2013 | 100 | |
| 6 | 2018 | 93 | |
| 7 | 2016 | 89 | |
| 8 | 2013 | 84 | |
| 9 | 2012 | 79 | |
| 10 | 2017 | 77 | |
| 11 | 2015 | 70 | |
| 12 | 2015 | 58 | |
| 13 | 2008 | 56 | |
| 14 | 1999 | 49 | |
| 15 | 2014 | 46 | |
| 16 | 2022 | 41 | |
| 17 | 2018 | 39 | |
| 18 | 2011 | 38 | |
| 19 | 2020 | 37 | |
| 20 | 2017 | 33 |
About Jun Qin
Jun Qin is a scholar working on Molecular Biology, Spectroscopy, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 62 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (11 papers), Ubiquitin and proteasome pathways (7 papers), RNA Research and Splicing (7 papers), DNA Repair Mechanisms (4 papers), Epigenetics and DNA Methylation (4 papers), Genetic factors in colorectal cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Cancer Research (551 citations), Molecular Biology (2.5k citations), Oncology (747 citations), Aging (48 citations) and Genetics (650 citations). Jun Qin has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Stephen J. Elledge, David Cortez, Yi Wang, Parvin T. Yazdi, Norma Neff, Bei Zhen, Xin Zhou, Zhiwei Lian, Chanjuan Sun and Chen Ding. Their work appears in journals such as Molecular & Cellular Proteomics, Nature Communications, EBioMedicine, Journal of Proteome Research and Cancer Letters.
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.