Hui Jin

1.7k citations
51 papers · 1.3k · h-index 18

Impact in

Papers in

Hui Jin

49 papers receiving 1.2k citations

Peers

Hui Jin
Comparison fields: 5 of 124
  • Aging 88
  • Cellular and Molecular Neuroscience 251
  • Ophthalmology 100
  • Molecular Biology 711
  • Cell Biology 150
Replace Satoshi Tsukamoto with:
Satoshi Tsukamoto Japan
Seiji Takagi Japan
Yoshiaki Tanaka Japan
N. Nagai Japan
Miki Ebisuya Japan
Kyle Harrington United States
Samantha J. Riesenfeld United States
Tetsu Saigusa Japan
Takaaki Matsui Japan
Hui Jin relative to Satoshi Tsukamoto Japan Satoshi Tsukamoto's profile →
Citations per field
00.5×4.8×
Satoshi Tsukamoto · 1×
Citations per year

Countries citing papers authored by Hui Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hui Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996189
2 2004122
3 2002106
4 201569
5 201868
6 201168
7 200268
8 200753
9 201852
10 200251
11 201547
12 201235
13 201631
14 202126
15 200526
16 201126
17 201923
18 201621
19 200617
20 201117

About Hui Jin

Hui Jin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Computer Networks and Communications and Surgery, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Advanced Wireless Communication Techniques (9 papers), Retinal Development and Disorders (8 papers), Photoreceptor and optogenetics research (8 papers), Error Correcting Code Techniques (5 papers), Cooperative Communication and Network Coding (4 papers), Geotechnical Engineering and Underground Structures (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (88 citations), Cellular and Molecular Neuroscience (251 citations), Ophthalmology (100 citations), Molecular Biology (711 citations) and Cell Biology (150 citations). Hui Jin has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Jack L. Lewis, Krzysztof Palczewski, Robert J. McEliece, Vern Twombly, William M Gelbart, Ronald K. Blackman, Jonathan M. Graff, Richard W. Padgett, Tanya Richardson and Beata Jastrzębska. Their work appears in journals such as The FASEB Journal, Nature Communications, Journal of Biological Chemistry, Biochemistry and Investigative Ophthalmology & Visual Science.

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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