Yan Pan

1.5k citations
17 papers · 1.1k indexed · 1 hit paper · h-index 10
Topics
Neural dynamics and brain function (3 papers)Neuroscience and Neuropharmacology Research (3 papers)Amyotrophic Lateral Sclerosis Research (3 papers)

In The Last Decade

Yan Pan

17 papers receiving 1.1k citations

Hit Papers

Parkinson's Disease α-Synuclein Transgenic Mice Develop N...20062026201220192006100200300400500

Peers

Yan Pan
Comparison fields: 5 of 99
  • Neurology 660
  • Molecular Biology 419
  • Cellular and Molecular Neuroscience 372
  • Physiology 248
  • Neurology 172
Replace Ryogen Sasaki with:
Ryogen Sasaki Japan
Jeffrey M. Stajich United States
Tomokazu Obi Japan
Hisayoshi Niwa Japan
Grażyna Dębska–Vielhaber Germany
Anne‐Marie Wills United States
Roberto Fancellu Italy
Renshi Xu China
Hiroyuki Tomiyama Japan
Elodie Martin France
Yan Pan relative to Ryogen Sasaki Japan Ryogen Sasaki's profile →
Citations per field
00.5×1.5×
Ryogen Sasaki · 1×
Citations per year

Countries citing papers authored by Yan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Pan

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 2
2 1
3 2
4 16
5 12
6 12
7 2
8 1
9 85
10 11
11 9
12 2
13 155
14 12
15
Parkinson's Disease α-Synuclein Transgenic Mice Develop Neuronal Mitochondrial Degeneration and Cell Deathbreakdown →
531
16 226
17 17

About Yan Pan

Yan Pan is a scholar working on Neurology, Nephrology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). The work is most often cited by research in Neurology (660 citations), Neurology (172 citations) and Cellular and Molecular Neuroscience (372 citations). Yan Pan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lee J. Martin, Ann C. Price, Donald L. Price, Neal G. Copeland, Michael K. Lee, Nancy A. Jenkins, W. Christopher Golden, Zhiping Liu, Kevin Chen and Qing Chang. Their work appears in journals such as Journal of Neuroscience, The Science of The Total Environment and The Journal of Comparative 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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