Li‐Chun Lin

1.2k citations
17 papers · 830 indexed · h-index 10
Topics
Neuroscience and Neuropharmacology Research (5 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)Single-cell and spatial transcriptomics (3 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaCerebral Cortex

In The Last Decade

Li‐Chun Lin

17 papers receiving 825 citations

Peers

Li‐Chun Lin
Comparison fields: 5 of 77
  • Physiology 271
  • Cellular and Molecular Neuroscience 233
  • Molecular Biology 194
  • Behavioral Neuroscience 152
  • Cognitive Neuroscience 144
Replace Jenica D. Tapocik with:
Jenica D. Tapocik United States
Elena V. Bouzinova Denmark
German Torres United States
Ruslan Damadzic United States
Charles Finsterwald Switzerland
Sheng‐Feng Tsai Taiwan
Ajaykumar N. Sharma United States
Jaime G. Maldonado‐Avilés United States
Gaël Quesseveur France
Eleni Païzanis France
Li‐Chun Lin relative to Jenica D. Tapocik United States Jenica D. Tapocik's profile →
Citations per field
00.5×1.5×1.8×
Jenica D. Tapocik · 1×
Citations per year

Countries citing papers authored by Li‐Chun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Chun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li‐Chun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Chun Lin. A scholar is included among the top collaborators of Li‐Chun Lin 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 Li‐Chun Lin. Li‐Chun Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 7
2 26
3 5
4 12
5 1
6 1
7 3
8 59
9 31
10 33
11 134
12 4
13 90
14 21
15 9
16 329
17 65

About Li‐Chun Lin

Li‐Chun Lin is a scholar working on Behavioral Neuroscience, Neurology and Endocrine and Autonomic Systems, having authored 17 papers that have together received 830 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Biological Psychiatry (129 citations), Behavioral Neuroscience (152 citations) and Endocrine and Autonomic Systems (141 citations). Li‐Chun Lin has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include Etienne Sibille, Lih‐Chu Chiou, Wei‐Shiung Yang, Keng‐Chen Liang, Ing‐Kang Ho, Chiung‐Tong Chen, C.-Y. Wang, William W. Seeley, Alissa L. Nana and Stephanie E. Gaus. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Cerebral Cortex.

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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