Xinghua Luan

1.2k citations
48 papers · 456 indexed · h-index 12
Topics
Genetic Neurodegenerative Diseases (12 papers)Hereditary Neurological Disorders (10 papers)Mitochondrial Function and Pathology (6 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsJournal of Neurology Neurosurgery & Psychiatry
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Xinghua Luan

45 papers receiving 450 citations

Peers

Xinghua Luan
Comparison fields: 5 of 68
  • Molecular Biology 242
  • Cellular and Molecular Neuroscience 135
  • Neurology 125
  • Cardiology and Cardiovascular Medicine 68
  • Cell Biology 64
Replace Chiara Aiello with:
Chiara Aiello Italy
Alessandro Malandrini Italy
Sayaka Ono Japan
Barry A. Pepers Netherlands
Kenji Nanao Japan
Paul A. Oliphint United States
Erik Pearson United States
Anna-Elina Lehesjoki Finland
Sietske H. Kevelam Netherlands
Lauren Brady Canada
Xinghua Luan relative to Chiara Aiello Italy Chiara Aiello's profile →
Citations per field
00.5×5.2×
Chiara Aiello · 1×
Citations per year

Countries citing papers authored by Xinghua Luan

Since Specialization
Citations

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

Fields of papers citing papers by Xinghua Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinghua Luan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 0
5 1
6 8
7 16
8 6
9 3
10 3
11 8
12 11
13 13
14 10
15 15
16 8
17 1
18 1
19 1
20 10

About Xinghua Luan

Xinghua Luan is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cell Biology, having authored 48 papers that have together received 456 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (12 papers), Hereditary Neurological Disorders (10 papers) and Mitochondrial Function and Pathology (6 papers). The work is most often cited by research in Neurology (125 citations), Cellular and Molecular Neuroscience (135 citations) and Neurology (51 citations). Xinghua Luan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Li Cao, Yun Yuan, Daojun Hong, Wotu Tian, Xiaojun Huang, Haiyan Zhou, Zhaoxia Wang, Wei Zhang, Bin Chen and Ahmet Höke. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Neurology Neurosurgery & Psychiatry.

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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