Nan Lin

899 citations
30 papers · 722 indexed · h-index 14

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

Nan Lin

28 papers receiving 714 citations

Peers

Nan Lin
Comparison fields: 5 of 94
  • Neurology 193
  • Biological Psychiatry 53
  • Physiology 262
  • Developmental Neuroscience 34
  • Cellular and Molecular Neuroscience 112
Replace Fatemeh Shaerzadeh with:
Fatemeh Shaerzadeh Iran
Víctor Andrade Chile
Kathryn A. Lindl United States
Debashis Dutta United States
Congcong Qi China
Maitrayee Sinha India
Diana Franco-Bocanegra Mexico
Taysa Bervian Bassani Brazil
Nan Lin relative to Fatemeh Shaerzadeh Iran Fatemeh Shaerzadeh's profile →
Citations per field
00.5×1.5×
Fatemeh Shaerzadeh · 1×
Citations per year

Countries citing papers authored by Nan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Nan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 202410
5 20242
6 20202
7 202018
8 201527
9 201417
10 201334
11 20137
12 201324
13 201221
14 20123
15 20112
16 2011239
17 201158
18 200914
19 200643
20 20068

About Nan Lin

Nan Lin is a scholar working on Neurology, Developmental Neuroscience, Nephrology, Sensory Systems and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 722 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Cancer-related gene regulation (3 papers), Visual perception and processing mechanisms (3 papers), Nuclear Receptors and Signaling (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Vestibular and auditory disorders (3 papers), Gout, Hyperuricemia, Uric Acid (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Neurology (193 citations), Biological Psychiatry (53 citations), Physiology (262 citations), Developmental Neuroscience (34 citations) and Cellular and Molecular Neuroscience (112 citations). Nan Lin has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xiaodong Pan, Yuangui Zhu, Xiaochun Chen, Jing Zhang, Huapin Huang, Jing An, Tian Wang, Xiaofeng Han, Ziwei Huang and Limin Chen. Their work appears in journals such as Journal of Neurophysiology, Journal of Immunotherapy, Acta Pharmaceutica Sinica B, Neuroscience and Behavioural Brain Research.

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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