Jun Lin

1.3k citations
50 papers · 1.1k · h-index 17

Impact in

    • PI3K/AKT/mTOR signaling in cancer
    • CRISPR and Genetic Engineering
    • Ion channel regulation and function
    • Metabolism, Diabetes, and Cancer
    • Ion Transport and Channel Regulation

Papers in

    • PI3K/AKT/mTOR signaling in cancer 9
    • CRISPR and Genetic Engineering 4
    • Protein Kinase Regulation and GTPase Signaling 3
    • Gut microbiota and health 2
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 3

Jun Lin

48 papers receiving 1.1k citations

Peers

Jun Lin
Comparison fields: 5 of 122
  • Biological Psychiatry 24
  • Molecular Biology 624
  • Cancer Research 124
  • Sensory Systems 32
  • Geriatrics and Gerontology 21
Replace Laureano de la Vega with:
Laureano de la Vega United Kingdom
Arkadiusz Orzechowski Poland
Federico De Marco Italy
Dianfeng Liu China
Chunyu Cao China
Chan Lee South Korea
Tracey A. Laessig United States
Kashi Raj Bhattarai South Korea
Ha‐Na Woo South Korea
Jun Lin relative to Laureano de la Vega United Kingdom Laureano de la Vega's profile →
Citations per field
00.5×1.5×2.1×
Laureano de la Vega · 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 2017161
2 2011136
3 2012109
4 201768
5 201267
6 201352
7 201243
8 201939
9 201338
10 202037
11 201635
12 201533
13 201328
14 201127
15 202125
16 201220
17 202019
18 201815
19 202111
20 201411

About Jun Lin

Jun Lin is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Epidemiology, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), MicroRNA in disease regulation (5 papers), CRISPR and Genetic Engineering (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cancer-related molecular mechanisms research (3 papers), Orthodontics and Dentofacial Orthopedics (2 papers), Gut microbiota and health (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Biological Psychiatry (24 citations), Molecular Biology (624 citations), Cancer Research (124 citations), Sensory Systems (32 citations) and Geriatrics and Gerontology (21 citations). Jun Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dandan Li, Haitao Wang, Xiaochun Bai, Wenhua Zheng, Hao Jiang, Yongxin Zheng, Philip Lazarovici, Qiang Wen, Zhang Qishan and Zhiwen Zeng. Their work appears in journals such as ACS Omega, Journal of Cellular and Molecular Medicine, Breast Cancer Research and Treatment, Molecular BioSystems and Frontiers in Cell and Developmental Biology.

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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