Jin Sui

22 papers receiving 686 citations

Peers

Jin Sui
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 291
  • Cardiology and Cardiovascular Medicine 288
  • Sensory Systems 40
  • Molecular Biology 543
  • Physiology 16
Replace Benedikt Bauer with:
Benedikt Bauer Germany
G. J. Baldo United States
Georg Stöckl Germany
Yevgeniya Lukyanenko United States
Sara I. Börjesson Sweden
Erik Harks Netherlands
Odmara L. Barreto Chang United States
Phyllis E. Hoar United States
N.G. Byrne United Kingdom
C. Becker Switzerland
Jin Sui relative to Benedikt Bauer Germany Benedikt Bauer's profile →
Citations per field
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Benedikt Bauer · 1×
Citations per year

Countries citing papers authored by Jin Sui

Since Specialization
Citations

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

Fields of papers citing papers by Jin Sui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998226
2 199985
3 200754
4 199752
5 200848
6 199846
7 202232
8 200727
9 200026
10 201224
11 199714
12 200812
13 199711
14 19977
15 20245
16 20234
17 20234
18 20224
19 20244
20 20223

About Jin Sui

Jin Sui is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 23 papers that have together received 691 indexed citations. Recurring topics across this work include Ion channel regulation and function (12 papers), Cardiac electrophysiology and arrhythmias (10 papers), Ga2O3 and related materials (6 papers), ZnO doping and properties (4 papers), Neuroscience and Neural Engineering (4 papers), Advanced Photocatalysis Techniques (4 papers), GaN-based semiconductor devices and materials (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (291 citations), Cardiology and Cardiovascular Medicine (288 citations), Sensory Systems (40 citations), Molecular Biology (543 citations) and Physiology (16 citations). Jin Sui has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Diomedes E. Logothetis, Jérôme Petit-Jacques, Diomedes E. Logothetis, C. Y. Kao, Kim W. Chan, Avia Rosenhouse‐Dantsker, Michel Vivaudou, M. Wakui, Peter N. Kao and Masami Yoshino. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Semiconductor Science and Technology, Channels, The Journal of General Physiology and Journal of Biological Chemistry.

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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