Luan Cen

513 citations
16 papers · 368 · h-index 10

Impact in

Papers in

Luan Cen

16 papers receiving 352 citations

Peers

Luan Cen
Comparison fields: 5 of 69
  • Neurology 95
  • Neurology 126
  • Biological Psychiatry 16
  • Cellular and Molecular Neuroscience 85
  • Cancer Research 50
Replace Prabhakar Mithal with:
Prabhakar Mithal United States
Emanuela Paldino Italy
Coro Sánchez‐Quintana Spain
Yoshitaka Tashiro Japan
Ximena Paez-Colasante United States
Joseph Ochaba United States
Francisco Llavero Spain
Jian-Nan Zhang China
Bailey Baumann United States
Alexandra M. Nicholson United States
Luan Cen relative to Prabhakar Mithal United States Prabhakar Mithal's profile →
Citations per field
00.5×1.5×1.9×
Prabhakar Mithal · 1×
Citations per year

Countries citing papers authored by Luan Cen

Since Specialization
Citations

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

Fields of papers citing papers by Luan Cen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201257
2 201651
3 201850
4 201744
5 201641
6 201640
7 201616
8 201715
9 201513
10 201611
11 20129
12
Association analysis of HLA-DRA in Chinese patients with sporadic Parkinson's disease.
20155
13
[Clinical analysis of subpopulation of peripheral T and B lymphocytes in Chinese Parkinson's disease patients].
20145
14 20134
15 20174
16 20203

About Luan Cen

Luan Cen is a scholar working on Neurology, Cellular and Molecular Neuroscience, Molecular Biology, Neurology and Physiology, having authored 16 papers that have together received 368 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Nuclear Receptors and Signaling (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Alzheimer's disease research and treatments (2 papers), Immune Cell Function and Interaction (2 papers), RNA Interference and Gene Delivery (2 papers), Signaling Pathways in Disease (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Neurology (95 citations), Neurology (126 citations), Biological Psychiatry (16 citations), Cellular and Molecular Neuroscience (85 citations) and Cancer Research (50 citations). Luan Cen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Pingyi Xu, Yousheng Xiao, Xinling Yang, Shaogang Qu, Shaomin Li, Yulan Tang, Yuefei Shen, Mingshu Mo, Shuxuan Huang and Lei Wei. Their work appears in journals such as The Journal of Gene Medicine, Journal of Neurochemistry, Neurological Research, Oncotarget and Neuroscience Bulletin.

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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