Linlin Wan

1.2k citations
36 papers · 699 indexed · h-index 10

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Psoriasis: Treatment and Pathogenesis
    • Systemic Lupus Erythematosus Research

Papers in

Linlin Wan

33 papers receiving 691 citations

Peers

Linlin Wan
Comparison fields: 5 of 82
  • Immunology 359
  • Rheumatology 230
  • Pathology and Forensic Medicine 131
  • Dermatology 57
  • Neurology 81
Replace Rossella Gulli with:
Rossella Gulli Italy
L Iversen Denmark
Yuichi Kawata Japan
G. Niederwieser Austria
Alexandre Paré Canada
Domizia Vecchio Italy
Undine Proschmann Germany
Verena I. Leussink Germany
Ayman Rezk Canada
Linlin Wan relative to Rossella Gulli Italy Rossella Gulli's profile →
Citations per field
00.5×5.7×
Rossella Gulli · 1×
Citations per year

Countries citing papers authored by Linlin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009379
2 2014113
3 201936
4 202024
5 202414
6 202012
7 202312
8 201811
9 202310
10 201810
11 20208
12 20217
13 20237
14 20206
15 20216
16 20206
17 20255
18 20234
19 20234
20 20234

About Linlin Wan

Linlin Wan is a scholar working on Neurology, Cellular and Molecular Neuroscience, Neurology, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine, having authored 36 papers that have together received 699 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (12 papers), Mitochondrial Function and Pathology (7 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Cardiovascular Function and Risk Factors (7 papers), Neurological disorders and treatments (5 papers), Neurological diseases and metabolism (3 papers), Cardiac Structural Anomalies and Repair (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Immunology (359 citations), Rheumatology (230 citations), Pathology and Forensic Medicine (131 citations), Dermatology (57 citations) and Neurology (81 citations). Linlin Wan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xue Yang, Ming Li, Lubing Zhu, Xin‐Rong Yang, Yiwei Chu, Ji Yang, Di Gao, Ming Li, Yang Ji and Xiaojing Xing. Their work appears in journals such as Movement Disorders, Gene, Frontiers in Neuroscience, Journal of Thoracic Imaging and International Journal of Oral and Maxillofacial Surgery.

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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