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
-
- Cancer, Hypoxia, and Metabolism 4
- Spectroscopy 12
- Advanced Proteomics Techniques and Applications 11
- Co-authors
- Yi WangDavid CortezStephen J. ElledgeNorma NeffParvin T. YazdiBei ZhenZhiwei LianChanjuan Sun
- Journals
- Molecular & Cellular Proteomics (5 papers)Journal of Proteome Research (4 papers)Nature Communications (4 papers)EBioMedicine (4 papers)Cell Reports (2 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Jun Qin
63 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cancer Research 622
- Molecular Biology 2.7k
- Oncology 817
- Aging 52
- Genetics 687
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 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 16 | |
| 7 | 2022 | 37 | |
| 8 | 2022 | 18 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 30 | |
| 11 | 2020 | 23 | |
| 12 | 2020 | 25 | |
| 13 | 2020 | 36 | |
| 14 | 2018 | 35 | |
| 15 | 2017 | 17 | |
| 16 | 2017 | 30 | |
| 17 | 2015 | 69 | |
| 18 | [Differential proteome analysis of carbon tetrachloride-induced mouse liver fibrosis]. | 2014 | 1 |
| 19 | 2008 | 56 | |
| 20 | Analysis on noise reduction effect of urban plant community | 2006 | 1 |
About Jun Qin
Jun Qin is a scholar working on Cancer Research, Spectroscopy, Molecular Biology, Aging and Oncology, having authored 65 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 (5 papers), Genomics and Chromatin Dynamics (4 papers), Genetic factors in colorectal cancer (4 papers), RNA modifications and cancer (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Cancer Research (622 citations), Molecular Biology (2.7k citations), Oncology (817 citations), Aging (52 citations) and Genetics (687 citations). Jun Qin has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Yi Wang, David Cortez, Stephen J. Elledge, Norma Neff, Parvin T. Yazdi, Bei Zhen, Zhiwei Lian, Chanjuan Sun, Xin Zhou and Bert W. O’Malley. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, Nature Communications, EBioMedicine and Cell Reports.
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.