Jun Lin

1.3k citations
50 papers · 997 · h-index 18

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 11
    • Connexins and lens biology 4
    • PI3K/AKT/mTOR signaling in cancer 4
    • RNA Interference and Gene Delivery 3
    • Biosensors and Analytical Detection 5

Jun Lin

48 papers receiving 990 citations

Peers

Jun Lin
Comparison fields: 5 of 112
  • Molecular Biology 585
  • Complementary and alternative medicine 40
  • Biomedical Engineering 201
  • Biochemistry 25
  • Pharmacology 36
Replace Xinrong Liu with:
Xinrong Liu China
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Gil‐Ja Jhon South Korea
Li Peng China
Xing Wang China
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Elizabeth J. Osterlund Canada
Duo Chen China
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Jun Lin relative to Xinrong Liu China Xinrong Liu's profile →
Citations per field
00.5×1.5×2.0×
Xinrong Liu · 1×
Citations per year

Countries citing papers authored by Jun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201494
2 202082
3
Processing of the gap junction protein connexin50 in the ocular lens is accomplished by calpain.
199781
4 202164
5 201857
6 199855
7 201442
8 201635
9 201833
10 201930
11 201428
12 201528
13 201826
14 201426
15 200222
16 201618
17
Kallistatin protects against bleomycin-induced idiopathic pulmonary fibrosis by inhibiting angiogenesis and inflammation.
201718
18 201118
19 201317
20 201217

About Jun Lin

Jun Lin is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Genetics and Ecology, having authored 50 papers that have together received 997 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (11 papers), Biosensors and Analytical Detection (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Connexins and lens biology (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Bacteriophages and microbial interactions (4 papers), Graphene research and applications (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Molecular Biology (585 citations), Complementary and alternative medicine (40 citations), Biomedical Engineering (201 citations), Biochemistry (25 citations) and Pharmacology (36 citations). Jun Lin has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Ruian Xu, Paul J. Donaldson, Aijing Sun, Xianxiang Xu, Xiuling Cui, Yong Diao, Min Wang, Megan T. Valentine, Yunzhou Dong and Reiner Eckert. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, International Journal of Molecular Sciences, Biophysical Journal, Journal of Cellular Biochemistry and Phytotherapy Research.

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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