Lan Ye

31 total papers · 557 total citations
16 papers, 367 citations indexed

About

Lan Ye is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lan Ye has authored 16 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 7 papers in Physiology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lan Ye's work include Alzheimer's disease research and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and Neurological disorders and treatments (4 papers). Lan Ye is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and Neurological disorders and treatments (4 papers). Lan Ye collaborates with scholars based in Germany, China and United States. Lan Ye's co-authors include Mathias Jucker, Lary C. Walker, Sarah K. Fritschi, Ulrike Obermüller, Frank Baumann, Yvonne S. Eisele, Jin‐Shun Qi, Jian‐Tian Qiao, Jasmin Mahler and Hans F. Wehrl and has published in prestigious journals such as Nature Medicine, Nature Neuroscience and Acta Neuropathologica.

In The Last Decade

Lan Ye

12 papers receiving 363 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lan Ye 251 159 105 64 43 16 367
Ola Philipson 291 1.2× 183 1.2× 98 0.9× 91 1.4× 55 1.3× 9 413
Astrid Gumucio 240 1.0× 139 0.9× 86 0.8× 100 1.6× 81 1.9× 9 402
Luiz R.G. Britto 136 0.5× 134 0.8× 109 1.0× 109 1.7× 44 1.0× 17 398
Maria E. Frazer 223 0.9× 89 0.6× 112 1.1× 61 1.0× 27 0.6× 15 422
Felecia M. Marottoli 183 0.7× 135 0.8× 112 1.1× 48 0.8× 33 0.8× 12 382
Norimichi Nakamura 191 0.8× 115 0.7× 81 0.8× 71 1.1× 57 1.3× 13 363
Sahar Roshanbin 159 0.6× 149 0.9× 56 0.5× 103 1.6× 52 1.2× 21 440
De-En Xu 131 0.5× 176 1.1× 113 1.1× 111 1.7× 42 1.0× 20 416
Lieven Declercq 155 0.6× 90 0.6× 84 0.8× 61 1.0× 64 1.5× 11 360
Levi M. Smith 251 1.0× 167 1.1× 90 0.9× 160 2.5× 30 0.7× 9 400

Countries citing papers authored by Lan Ye

Since Specialization
Citations

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

Fields of papers citing papers by Lan Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Ye

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

All Works

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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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