Jun Qin

6.8k citations
65 papers · 3.5k indexed · 2 hit papers · h-index 24

Impact in

    • Carcinogens and Genotoxicity Assessment
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics

Papers in

Jun Qin

63 papers receiving 3.4k citations

Hit Papers

BASC, a super complex of BRCA1-associated proteins involved in the recognition and repair of aberrant DNA structures 2000 · 991 citations
9911999202620082017250500750

Peers

Jun Qin
Comparison fields: 5 of 138
  • Cancer Research 622
  • Molecular Biology 2.7k
  • Oncology 817
  • Aging 52
  • Genetics 687
Replace Rainer B. Lanz with:
Rainer B. Lanz United States
Victor X. Jin United States
Holger Heyn Spain
Alexander S. Brodsky United States
Johnathan R. Whetstine United States
Gary G. Chiang United States
Régen Drouin Canada
Ole Ammerpohl Germany
Kerry L. Burnstein United States
Michael J. O’Hare United Kingdom
Jun Qin relative to Rainer B. Lanz United States Rainer B. Lanz's profile →
Citations per field
00.5×1.5×
Rainer B. Lanz · 1×
Citations per year

Countries citing papers authored by Jun Qin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Qin Line = papers co-authored together Jun Qin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20243
4 20249
5 20239
6 202316
7 202237
8 202218
9 20218
10 202130
11 202023
12 202025
13 202036
14 201835
15 201717
16 201730
17 201569
18
[Differential proteome analysis of carbon tetrachloride-induced mouse liver fibrosis].
20141
19 200856
20
Analysis on noise reduction effect of urban plant community
20061

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.

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2026