Jin Qi

933 citations
29 papers · 741 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Silk-based biomaterials and applications

Papers in

    • RNA modifications and cancer 4
    • ATP Synthase and ATPases Research 3
    • Extracellular vesicles in disease 2
    • Cancer Genomics and Diagnostics 2
    • MicroRNA in disease regulation 2
    • Cancer-related molecular mechanisms research 2

Jin Qi

23 papers receiving 728 citations

Peers

Jin Qi
Comparison fields: 5 of 92
  • Cancer Research 292
  • Biomaterials 80
  • Genetics 57
  • Molecular Biology 356
  • Urology 26
Replace Axel Seher with:
Axel Seher Germany
Tina P. Dale United Kingdom
Sidharth Chaudhry Canada
ZaWaunyka Lazard United States
Krishna M. Sinha United States
Byung‐Chul Jeong South Korea
Zahia Hamidouche France
Xingyu Chen China
Jin Qi relative to Axel Seher Germany Axel Seher's profile →
Citations per field
00.5×1.5×2.4×
Axel Seher · 1×
Citations per year

Countries citing papers authored by Jin Qi

Since Specialization
Citations

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

Fields of papers citing papers by Jin Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017162
2 2014157
3 2018104
4 202138
5 201337
6 201637
7 200934
8 201428
9 201924
10 201623
11 201121
12 202316
13
Exosomes in osteosarcoma research and preclinical practice.
202112
14 202110
15 20198
16 20148
17 20137
18
Osteogenic potential of rabbit marrow stromal stem cells cultured in vitro: a histochemical and scanning electron microscopic study.
20026
19 20253
20
[In vivo experimental study of hat type cervical intervertebral fusion cage].
20062

About Jin Qi

Jin Qi is a scholar working on Molecular Biology, Cancer Research, Surgery, Urology and Biomaterials, having authored 29 papers that have together received 741 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), ATP Synthase and ATPases Research (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Silk-based biomaterials and applications (2 papers), Cancer Genomics and Diagnostics (2 papers), Extracellular vesicles in disease (2 papers), MicroRNA in disease regulation (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (292 citations), Biomaterials (80 citations), Genetics (57 citations), Molecular Biology (356 citations) and Urology (26 citations). Jin Qi has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Lianfu Deng, Yumin Li, Xinhua Wu, Shaoqing Ju, Xianjuan Shen, Yong Wu, Kaizhe Chen, Yufei Yan, Yang Zhao and Huijuan Chen. Their work appears in journals such as PLoS ONE, Advanced Healthcare Materials, Current Gene Therapy, Oxidative Medicine and Cellular Longevity and Shock.

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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