Qing Lin

421 citations
37 papers · 307 · h-index 9

Impact in

  • Cell Biology top 10%
    • Zebrafish Biomedical Research Applications
    • Caveolin-1 and cellular processes
    • Platelet Disorders and Treatments

Papers in

Qing Lin

30 papers receiving 299 citations

Peers

Qing Lin
Comparison fields: 5 of 64
  • Cell Biology 73
  • Hematology 40
  • Immunology 40
  • Cancer Research 19
  • Molecular Biology 89
Replace Melat T. Gebru with:
Melat T. Gebru United States
Courtney E. Davidson Canada
Kiyokazu Morioka Japan
Soledad Henríquez Chile
Martina Moras France
Laura C. Collopy United Kingdom
Elisa Adele Colombo Italy
Cecilia Blair Levandowski United States
Anissa Edir France
Matthew D. Beasley Australia
Qing Lin relative to Melat T. Gebru United States Melat T. Gebru's profile →
Citations per field
00.5×2×3×4×5×
Melat T. Gebru · 1×
Citations per year

Countries citing papers authored by Qing Lin

Since Specialization
Citations

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

Fields of papers citing papers by Qing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202386
2 201628
3 201723
4 201522
5 201621
6 201217
7 202211
8 202211
9 202010
10 20178
11 20157
12 20217
13 20176
14 20206
15 20216
16 20236
17 20205
18
Differential proteomics analysis of proteins from human diabetic and age-related cataractous lenses.
20134
19 20224
20 20253

About Qing Lin

Qing Lin is a scholar working on Cell Biology, Hematology, Complementary and alternative medicine, Neurology and Immunology, having authored 37 papers that have together received 307 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (9 papers), Platelet Disorders and Treatments (7 papers), Acupuncture Treatment Research Studies (3 papers), Invertebrate Immune Response Mechanisms (3 papers), Barrier Structure and Function Studies (2 papers), Antimicrobial Peptides and Activities (1 paper), Schizophrenia research and treatment (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Cell Biology (73 citations), Hematology (40 citations), Immunology (40 citations), Cancer Research (19 citations) and Molecular Biology (89 citations). Qing Lin has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Yiyue Zhang, Zhibin Huang, Yuqiu Li, Miao Li, Wenting Luo, Jie Wang, Jia-Yang Wang, Lixia Xiong, Yi Wang and Keqin Wang. Their work appears in journals such as International Journal of Infectious Diseases, Leukemia, Journal of genetics and genomics, International Journal of Nanomedicine and Frontiers in Oncology.

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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