Kunlin Jin

24.8k total citations · 4 hit papers
226 papers, 19.1k citations indexed

About

Kunlin Jin is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kunlin Jin has authored 226 papers receiving a total of 19.1k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 67 papers in Developmental Neuroscience and 56 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kunlin Jin's work include Neurogenesis and neuroplasticity mechanisms (62 papers), Neuroinflammation and Neurodegeneration Mechanisms (46 papers) and Axon Guidance and Neuronal Signaling (21 papers). Kunlin Jin is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (62 papers), Neuroinflammation and Neurodegeneration Mechanisms (46 papers) and Axon Guidance and Neuronal Signaling (21 papers). Kunlin Jin collaborates with scholars based in United States, China and India. Kunlin Jin's co-authors include David A. Greenberg, Xiao Mao, Lin Xie, Yunjuan Sun, Anna Logvinova, Yonghua Zhu, Jocelyn Childs, Alyson Peel, Roger P. Simon and Brian Wang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Kunlin Jin

223 papers receiving 18.8k citations

Hit Papers

Vascular endothelial growth factor (VEGF) stimulates neur... 2002 2026 2010 2018 2002 2003 2003 2003 400 800 1.2k

Peers

Kunlin Jin
Comparison fields: 5 of 169
  • Molecular Biology 7.5k
  • Developmental Neuroscience 5.6k
  • Cellular and Molecular Neuroscience 5.2k
  • Neurology 4.6k
  • Physiology 2.7k
Replace Seung Up Kim with:
Seung Up Kim South Korea
V. Wee Yong Canada
Zaal Kokaia Sweden
Jack P. Antel Canada
Bruce D. Trapp United States
Frank R. Sharp United States
Klaus‐Armin Nave Germany
Michael Sendtner Germany
Mathias Bähr Germany
Robin J.M. Franklin United Kingdom
Seung Up Kim South Korea View profile →
Citations per field, relative to Kunlin Jin
Kunlin Jin · 1×
Citations per year, relative to Kunlin Jin
Kunlin Jin · 1×

Countries citing papers authored by Kunlin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Kunlin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunlin Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Kunlin Jin. A scholar is included among the top collaborators of Kunlin Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kunlin Jin. Kunlin Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 7
3 9
4 42
5 22
6 43
7 1
8 140
9 29
10 40
11 16
12 148
13 27
14 8
15 22
16 74
17 475
18 99
19 78
20 164

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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