Kun Lin

603 citations
20 papers · 486 · h-index 9

Impact in

    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • DNA and Nucleic Acid Chemistry
    • Cell death mechanisms and regulation
    • RNA and protein synthesis mechanisms
    • Virus-based gene therapy research

Papers in

Kun Lin

20 papers receiving 478 citations

Peers

Kun Lin
Comparison fields: 5 of 89
  • Molecular Biology 270
  • Genetics 72
  • Endocrinology, Diabetes and Metabolism 29
  • Cardiology and Cardiovascular Medicine 37
  • Geriatrics and Gerontology 5
Replace Renkuan Tang with:
Renkuan Tang China
Dániel Kiss United States
Shoko Ikeda Japan
Wibowo Arindrarto Netherlands
Steven Shoei‐Lung Li Taiwan
Tero-Pekka Alastalo United States
Amanda Wyman United States
Tobias Speicher Switzerland
Havva Keskin Türkiye
Nora Tenis Australia
Kun Lin relative to Renkuan Tang China Renkuan Tang's profile →
Citations per field
00.5×1.5×2.2×
Renkuan Tang · 1×
Citations per year

Countries citing papers authored by Kun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1996221
2 201480
3 201740
4 201530
5 201924
6 201519
7 202015
8 201011
9 202311
10 20228
11 20166
12 20205
13 20225
14 20243
15 20232
16 20242
17 20251
18
[Effects of allitridum on rapidly delayed rectifier potassium current in HEK293 cell line].
20151
19 20211
20 20191

About Kun Lin

Kun Lin is a scholar working on Ecology, Global and Planetary Change, Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 20 papers that have together received 486 indexed citations. Recurring topics across this work include Coral and Marine Ecosystems Studies (5 papers), Marine and fisheries research (4 papers), Diabetes Management and Research (2 papers), Fish Ecology and Management Studies (2 papers), Diabetes Management and Education (2 papers), Fish Biology and Ecology Studies (2 papers), Marine Bivalve and Aquaculture Studies (2 papers) and Gestational Diabetes Research and Management (1 paper). The work is most often cited by research in Molecular Biology (270 citations), Genetics (72 citations), Endocrinology, Diabetes and Metabolism (29 citations), Cardiology and Cardiovascular Medicine (37 citations) and Geriatrics and Gerontology (5 citations). Kun Lin has collaborated with scholars based in China, Australia and Vietnam. Frequent co-authors include R. Wayne Hendren, John G. Lewis, Robert A. Mook, Richard W. Wagner, W. Michael Flanagan, Mark D. Matteucci, Zhihua Huang, Shaoda Lin, Guoshu Yin and Euphemia Leung. Their work appears in journals such as Medicine, Frontiers in Marine Science, Neurological Sciences, PeerJ and Ecology and Evolution.

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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