Yejun Qin

958 citations
39 papers · 706 · h-index 17

Impact in

  • Biophysics top 5%
    • Spectroscopy Techniques in Biomedical and Chemical Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Yejun Qin

38 papers receiving 697 citations

Peers

Yejun Qin
Comparison fields: 5 of 97
  • Biophysics 93
  • Cancer Research 160
  • Molecular Biology 371
  • Analytical Chemistry 50
  • Health Informatics 6
Replace Jana Fischer with:
Jana Fischer Germany
Luc Gailhouste Japan
Spiridon Tsavachidis United States
Christhunesa S. Christudass United States
Robert Kiss Belgium
Emmanuel Petricoin United States
Sanjay Navani Sweden
Valentina Bravatà Italy
Alexandra Cretu United States
Willem Jacob Belgium
Yejun Qin relative to Jana Fischer Germany Jana Fischer's profile →
Citations per field
00.5×7.2×
Jana Fischer · 1×
Citations per year

Countries citing papers authored by Yejun Qin

Since Specialization
Citations

This map shows the geographic impact of Yejun 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 Yejun Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yejun Qin more than expected).

Fields of papers citing papers by Yejun Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yejun 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 Yejun Qin. The network helps show where Yejun Qin may publish in the future.

Co-authors

The 25 scholars most cited alongside Yejun 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 Yejun Qin Line = papers co-authored together Yejun Qin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201362
2 201562
3 200662
4 201950
5 201141
6 201540
7 200739
8 201733
9
The lncRNA XIST promotes the progression of breast cancer by sponging miR-125b-5p to modulate NLRC5.
202027
10 201826
11 202120
12 201319
13 201718
14 201717
15 201917
16 201117
17
Decreased HCRP1 expression is associated with poor prognosis in breast cancer patients.
201416
18 201615
19 201315
20 201614

About Yejun Qin

Yejun Qin is a scholar working on Molecular Biology, Oncology, Surgery, Cancer Research and Pathology and Forensic Medicine, having authored 39 papers that have together received 706 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (4 papers), Genetic factors in colorectal cancer (3 papers), HER2/EGFR in Cancer Research (3 papers), Urinary and Genital Oncology Studies (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). The work is most often cited by research in Biophysics (93 citations), Cancer Research (160 citations), Molecular Biology (371 citations), Analytical Chemistry (50 citations) and Health Informatics (6 citations). Yejun Qin has collaborated with scholars based in China, Japan and Australia. Frequent co-authors include Feng Zheng, Hongxia Cheng, Zhigang Yao, Jiawen Xu, Kun Chen, Miaoqing Zhao, Menghong Sun, Daren Shi, Ling Gao and Jiajun Zhao. Their work appears in journals such as Diagnostic Pathology, Journal of Biomedical Optics, Biochemical and Biophysical Research Communications, Journal of Cancer and Scientific 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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