Sen Jin

1.3k citations
23 papers · 753 · h-index 13

Impact in

Papers in

Sen Jin

23 papers receiving 743 citations

Peers

Sen Jin
Comparison fields: 5 of 91
  • Behavioral Neuroscience 72
  • Sensory Systems 96
  • Biological Psychiatry 44
  • Cellular and Molecular Neuroscience 266
  • Neurology 115
Replace Maximiliano Rapanelli with:
Maximiliano Rapanelli United States
A. Rory McQuiston United States
Bong-June Yoon South Korea
Christina McClure United Kingdom
Emilio Artacho‐Pérula Spain
Sandy Popp Germany
Martin O. Bohlen United States
Melissa J. Glenn United States
Bradley B. Barth United States
Sen Jin relative to Maximiliano Rapanelli United States Maximiliano Rapanelli's profile →
Citations per field
00.5×2×2.8×
Maximiliano Rapanelli · 1×
Citations per year

Countries citing papers authored by Sen Jin

Since Specialization
Citations

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

Fields of papers citing papers by Sen Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sen 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 Sen Jin Line = papers co-authored together Sen Jin 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 2020261
2 201371
3 201954
4 201853
5 201747
6 201634
7 202134
8 202131
9 202126
10 201821
11 199921
12 202018
13 202015
14 201911
15 202311
16 201810
17 20239
18 20178
19 20227
20 20145

About Sen Jin

Sen Jin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Sensory Systems, Nutrition and Dietetics and Molecular Biology, having authored 23 papers that have together received 753 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Memory and Neural Mechanisms (6 papers), Biochemical Analysis and Sensing Techniques (3 papers), Neurobiology and Insect Physiology Research (3 papers), Receptor Mechanisms and Signaling (3 papers), Olfactory and Sensory Function Studies (3 papers), Herpesvirus Infections and Treatments (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Behavioral Neuroscience (72 citations), Sensory Systems (96 citations), Biological Psychiatry (44 citations), Cellular and Molecular Neuroscience (266 citations) and Neurology (115 citations). Sen Jin has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Fuqiang Xu, Xiaobin He, Ji Hu, Yuan Yuan, Lu Hu, Hai Qi, Yi Zhong, Bo Lei, Xuebin Liao and Wenzhi Sun. Their work appears in journals such as Neuroscience Bulletin, Journal of Neuroscience, Frontiers in Neural Circuits, Scientific Reports and Molecular Psychiatry.

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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