Hong Jin

2.5k total citations · 1 hit paper
30 papers, 2.1k citations indexed

About

Hong Jin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Hong Jin has authored 30 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 6 papers in Cell Biology. Recurrent topics in Hong Jin's work include Neuroscience and Neuropharmacology Research (13 papers), Biochemical effects in animals (5 papers) and Aldose Reductase and Taurine (4 papers). Hong Jin is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Biochemical effects in animals (5 papers) and Aldose Reductase and Taurine (4 papers). Hong Jin collaborates with scholars based in United States, China and Taiwan. Hong Jin's co-authors include Amy R. Brooks‐Kayal, Melissa D. Shumate, Douglas A. Coulter, Jang‐Yen Wu, Heng Wu, Jianning Wei, Di Sha, John V. Schloss, Kathleen Davis and Michael B. Robinson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Hong Jin

29 papers receiving 2.0k citations

Hit Papers

Selective changes in single cell GABAA receptor subunit e... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers

Hong Jin
Comparison fields: 5 of 101
  • Cellular and Molecular Neuroscience 1.2k
  • Molecular Biology 832
  • Psychiatry and Mental health 393
  • Cell Biology 287
  • Cognitive Neuroscience 237
Replace Anja U. Bräuer with:
Anja U. Bräuer Germany
Laurence A. Borden United States
Caetana M. Carvalho Portugal
Akiko Furuta Japan
Ann Benz United States
Giulia Curia Italy
Ricardo Tapia Mexico
De‐Maw Chuang United States
Virginia L. Smith‐Swintosky United States
Giuseppina Martella Italy
Anja U. Bräuer Germany View profile →
Citations per field, relative to Hong Jin
Hong Jin · 1×
Citations per year, relative to Hong Jin
Hong Jin · 1×

Countries citing papers authored by Hong Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Jin. A scholar is included among the top collaborators of Hong 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 Hong Jin. Hong 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 0
2 12
3 8
4 63
5 23
6 49
7 39
8 139
9 4
10 17
11 119
12 12
13 130
14 98
15 60
16 26
17 130
18 49
19 72
20
Selective changes in single cell GABAA receptor subunit expression and function in temporal lobe epilepsy breakdown →
588

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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