Huajun Jin

6.2k citations
101 papers · 4.5k indexed · h-index 40
Topics
Parkinson's Disease Mechanisms and Treatments (39 papers)Neuroinflammation and Neurodegeneration Mechanisms (22 papers)Nuclear Receptors and Signaling (16 papers)

In The Last Decade

Huajun Jin

100 papers receiving 4.5k citations

Peers

Huajun Jin
Comparison fields: 5 of 125
  • Molecular Biology 1.9k
  • Neurology 1.4k
  • Neurology 943
  • Cellular and Molecular Neuroscience 917
  • Physiology 763
Replace Arthi Kanthasamy with:
Arthi Kanthasamy United States
Juan Segura‐Aguilar Chile
Ikuko Miyazaki Japan
Oliver Bandmann United Kingdom
Masato Asanuma Japan
Jason R. Cannon United States
Delinda A. Johnson United States
Wolf‐Dieter Rausch Austria
Vellareddy Anantharam United States
Plamena R. Angelova United Kingdom
Huajun Jin relative to Arthi Kanthasamy United States Arthi Kanthasamy's profile →
Citations per field
00.5×1.5×
Arthi Kanthasamy · 1×
Citations per year

Countries citing papers authored by Huajun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Huajun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huajun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Huajun Jin. A scholar is included among the top collaborators of Huajun 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 Huajun Jin. Huajun 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
#WorkIndexed citations
1 5
2 4
3 2
4 3
5 22
6 17
7 18
8 104
9 123
10 133
11 198
12 72
13 86
14 61
15 21
16 84
17 58
18 23
19 93
20 37

About Huajun Jin

Huajun Jin is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 101 papers that have together received 4.5k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (39 papers), Neuroinflammation and Neurodegeneration Mechanisms (22 papers) and Nuclear Receptors and Signaling (16 papers). The work is most often cited by research in Neurology (943 citations), Neurology (1.4k citations) and Biological Psychiatry (183 citations). Huajun Jin has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Anumantha G. Kanthasamy, Vellareddy Anantharam, Arthi Kanthasamy, Dilshan S. Harischandra, Anamitra Ghosh, Souvarish Sarkar, Shivani Ghaisas, Dharmin Rokad, Jie Luo and Adhithiya Charli. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

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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