Kun Jin

2.0k citations
19 papers · 1.5k indexed · 1 hit paper · h-index 12

Impact in

Papers in

Kun Jin

19 papers receiving 1.4k citations

Hit Papers

Vascular endothelial growth factor: Direct neuroprotective effect in in vitro ischemia 2000 · 586 citations
5862000202620082017100200300400500

Peers

Kun Jin
Comparison fields: 5 of 82
  • Developmental Neuroscience 205
  • Cellular and Molecular Neuroscience 410
  • Neurology 175
  • Neurology 315
  • Molecular Biology 815
Replace Kazuhiko Namikawa with:
Kazuhiko Namikawa Japan
Dong‐Fu Feng China
Murat Digicaylioglu United States
Tomohisa Dembo Japan
Christoph G. Goemans United Kingdom
Diana Reimers Spain
Sae‐Won Lee South Korea
Dominique Talabot Switzerland
Toshio Masuzawa Japan
Kun Jin relative to Kazuhiko Namikawa Japan Kazuhiko Namikawa's profile →
Citations per field
00.5×1.5×2.3×
Kazuhiko Namikawa · 1×
Citations per year

Countries citing papers authored by Kun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Kun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20224
2 20212
3 201944
4 20199
5 20195
6 201541
7 20123
8 20069
9 200185
10 200124
11 200158
12 2000105
13 200014
14 2000338
15 200026
16 200091
17
Vascular endothelial growth factor: Direct neuroprotective effect in in vitro ischemia
Hit paper breakdown →
2000586
18 19944
19 199416

About Kun Jin

Kun Jin is a scholar working on Cellular and Molecular Neuroscience, Hepatology, Neurology, Developmental Neuroscience and Ophthalmology, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Cell death mechanisms and regulation (4 papers), T-cell and B-cell Immunology (3 papers), Mitochondrial Function and Pathology (2 papers), Immune Cell Function and Interaction (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Biochemical effects in animals (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Developmental Neuroscience (205 citations), Cellular and Molecular Neuroscience (410 citations), Neurology (175 citations), Neurology (315 citations) and Molecular Biology (815 citations). Kun Jin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include David A. Greenberg, Xiao Mao, Steven H. Graham, Simon C. Watkins, Patrick M. Kochanek, Minzhi Chen, Robert S. B. Clark, Paula D. Nathaniel, C. Edward Dixon and Neal Seidberg. Their work appears in journals such as Journal of Neurochemistry, Proceedings of the National Academy of Sciences, Scientific Reports, Brain Topography and Journal of Neurotrauma.

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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