Li Qin

5.0k citations
97 papers · 3.8k indexed · 1 hit paper · h-index 33

Impact in

Papers in

Li Qin

92 papers receiving 3.8k citations

Hit Papers

Role of STAT3 signaling pathway in breast cancer 2020 · 298 citations
298202020262022202450100150200250

Peers

Li Qin
Comparison fields: 5 of 133
  • Cancer Research 1.0k
  • Immunology and Allergy 301
  • Molecular Biology 2.1k
  • Oncology 811
  • Immunology 579
Replace Mario Romano with:
Mario Romano Italy
Carole Peyssonnaux France
Daniel Sedding Germany
Satoshi Fujii Japan
Marpadga A. Reddy United States
Mary E. Choi United States
Christoph Daniel Germany
Toshiharu Ishii Japan
Roberto Barrios United States
Sandeep Kumar United States
Li Qin relative to Mario Romano Italy Mario Romano's profile →
Citations per field
00.5×2.7×
Mario Romano · 1×
Citations per year

Countries citing papers authored by Li Qin

Since Specialization
Citations

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

Fields of papers citing papers by Li Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20245
4 20230
5 202311
6 20221
7 201853
8 201820
9 20161
10 2016132
11 201520
12 201446
13 201312
14 201144
15 201175
16 201041
17 2009128
18 200722
19
Genetic disruption of the p27kip1 confers antiestrogen insensitivity and metastasis potential on human breast cancer cells
20061
20 1995248

About Li Qin

Li Qin is a scholar working on Immunology and Allergy, Cancer Research, Oncology, Obstetrics and Gynecology and Genetics, having authored 97 papers that have together received 3.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Cell Adhesion Molecules Research (10 papers), Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers), Cancer Cells and Metastasis (7 papers), Cytokine Signaling Pathways and Interactions (6 papers), Circular RNAs in diseases (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Cancer Research (1.0k citations), Immunology and Allergy (301 citations), Molecular Biology (2.1k citations), Oncology (811 citations) and Immunology (579 citations). Li Qin has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Jianming Xu, Xia Li, Jiahui Ma, Lan Liao, Shuang Li, Tao He, Hong-Wu Chen, Leonie S. Young, Claire M. Doerschuk and N A Doyle. Their work appears in journals such as Cancer Research, International Journal of Biological Sciences, Oncotarget, OncoTargets and Therapy and Journal of Biological Chemistry.

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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