Lan Chu

4.2k citations
30 papers · 663 · h-index 13

Impact in

Papers in

    • CNS Lymphoma Diagnosis and Treatment 2
    • Myasthenia Gravis and Thymoma 2
    • Neuroinflammation and Neurodegeneration Mechanisms 2
    • Intracerebral and Subarachnoid Hemorrhage Research 2
    • Peripheral Neuropathies and Disorders 2
    • Extracellular vesicles in disease 4

Lan Chu

30 papers receiving 657 citations

Peers

Lan Chu
Comparison fields: 5 of 82
  • Neurology 102
  • Biological Psychiatry 21
  • Neurology 102
  • Cancer Research 102
  • Pathology and Forensic Medicine 82
Replace Xu Yi with:
Xu Yi China
Xin Hu China
Denise Harhausen Germany
Shengmei Zhu China
Fausta Ciccocioppo Italy
M. Gironi Italy
Alessia Franceschini Italy
Angela Yan United States
Thilo Kaehne Germany
Alessia Serrano Italy
Lan Chu relative to Xu Yi China Xu Yi's profile →
Citations per field
00.5×4.6×
Xu Yi · 1×
Citations per year

Countries citing papers authored by Lan Chu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019296
2 202253
3 201653
4 201536
5 201132
6 201728
7 201227
8 202115
9 201915
10 202115
11 202214
12 201814
13 201513
14 202211
15
[Study on natural killer cell subset and activity in patients with depression].
20025
16 20204
17 20194
18 20144
19 20214
20 20174

About Lan Chu

Lan Chu is a scholar working on Neurology, Molecular Biology, Pathology and Forensic Medicine, Cancer Research and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 663 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Extracellular vesicles in disease (4 papers), Multiple Sclerosis Research Studies (4 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), Myasthenia Gravis and Thymoma (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers) and Peripheral Neuropathies and Disorders (2 papers). The work is most often cited by research in Neurology (102 citations), Biological Psychiatry (21 citations), Neurology (102 citations), Cancer Research (102 citations) and Pathology and Forensic Medicine (82 citations). Lan Chu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dian He, Qingqing Dai, Yifeng Du, Longfei Jia, Jianping Jia, Chunkui Zhou, Fangyu Li, Furu Liang, Qigeng Wang and Shan Wang. Their work appears in journals such as Cochrane Database of Systematic Reviews, Alzheimer s & Dementia, Pharmacological Research, Oxidative Medicine and Cellular Longevity and Pediatric Neurology.

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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