Lin Shi

3.5k total citations · 1 hit paper
144 papers, 2.4k citations indexed

About

Lin Shi is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Lin Shi has authored 144 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Neurology, 30 papers in Cellular and Molecular Neuroscience and 25 papers in Molecular Biology. Recurrent topics in Lin Shi's work include Neurological disorders and treatments (36 papers), Parkinson's Disease Mechanisms and Treatments (15 papers) and Neuroscience and Neuropharmacology Research (12 papers). Lin Shi is often cited by papers focused on Neurological disorders and treatments (36 papers), Parkinson's Disease Mechanisms and Treatments (15 papers) and Neuroscience and Neuropharmacology Research (12 papers). Lin Shi collaborates with scholars based in China, United States and Hong Kong. Lin Shi's co-authors include Ru‐Rong Ji, Katharina Zimmermann, Daniel Vardeh, Fumimasa Amaya, Haibin Wang, Clifford J. Woolf, Alexander M. Binshtok, Tarek A. Samad, Gary J. Brenner and Bruce P. Bean and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Lin Shi

129 papers receiving 2.4k citations

Hit Papers

Nociceptors Are Interleukin-1β Sensors 2008 2026 2014 2020 2008 100 200 300 400 500

Peers

Lin Shi
Comparison fields: 5 of 122
  • Molecular Biology 531
  • Cellular and Molecular Neuroscience 524
  • Physiology 509
  • Neurology 499
  • Epidemiology 296
Replace Xia Zhang with:
Xia Zhang China
B.K. Thelma India
Johan van Beek Switzerland
Tao Xie United States
Pierre Clavelou France
Shoji Tsuji Japan
Xin Cheng China
Makoto Takahashi Japan
Hiroshi Yamasaki Japan
Radu Tănăsescu United Kingdom
Xia Zhang China View profile →
Citations per field, relative to Lin Shi
Lin Shi · 1×
Citations per year, relative to Lin Shi
Lin Shi · 1×

Countries citing papers authored by Lin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Lin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Shi. A scholar is included among the top collaborators of Lin Shi 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 Lin Shi. Lin Shi 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 1
2 0
3 5
4 5
5 5
6 6
7 6
8 2
9 11
10 20
11 2
12 1
13 20
14 0
15 5
16 53
17 69
18 0
19 0
20 16

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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