Kun Yan

825 total citations
12 papers, 306 citations indexed

About

Kun Yan is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology. According to data from OpenAlex, Kun Yan has authored 12 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Cell Biology and 2 papers in Molecular Biology. Recurrent topics in Kun Yan's work include Neuroscience and Neuropharmacology Research (2 papers), Cellular transport and secretion (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Kun Yan is often cited by papers focused on Neuroscience and Neuropharmacology Research (2 papers), Cellular transport and secretion (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Kun Yan collaborates with scholars based in United States, Netherlands and China. Kun Yan's co-authors include Maialen Irazoqui Apecechea, Jian Su, Joao de Lima Rego, Kristine S. Madsen, Sanne Muis, Job Dullaart, Martin Verlaan, Mark M. Rasenick, Nan Wang and Amy F. Moss and has published in prestigious journals such as Scientific Reports, Journal of Neurochemistry and Muscle & Nerve.

In The Last Decade

Kun Yan

10 papers receiving 301 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kun Yan United States 7 129 102 83 62 61 12 306
Jason Flanagan United States 13 94 0.7× 60 0.6× 122 1.5× 22 0.4× 312 5.1× 27 583
Dongling Li China 10 64 0.5× 12 0.1× 47 0.6× 31 0.5× 92 1.5× 28 323
Joseph W. Williams United States 12 178 1.4× 39 0.4× 19 0.2× 23 0.4× 33 0.5× 19 398
Albert C. Chen United States 9 131 1.0× 27 0.3× 25 0.3× 14 0.2× 98 1.6× 14 344
S. Sugihara Japan 11 78 0.6× 82 0.8× 227 2.7× 8 0.1× 27 0.4× 35 516
E Schulz Germany 12 175 1.4× 21 0.2× 24 0.3× 58 0.9× 27 0.4× 47 455
Michael A. Shook United States 17 611 4.7× 550 5.4× 15 0.2× 35 0.6× 41 0.7× 53 863
Guihua Zhai United States 11 113 0.9× 30 0.3× 15 0.2× 6 0.1× 91 1.5× 26 602
Masayuki Noda Japan 12 171 1.3× 37 0.4× 142 1.7× 28 0.5× 29 0.5× 59 511

Countries citing papers authored by Kun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Yan

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

All Works

12 of 12 papers shown
1.
Tang, Xudong, et al.. (2025). Application of lean management in medical laboratories to help treat patients with acute stroke. Scientific Reports. 15(1). 27485–27485.
2.
Muis, Sanne, Maialen Irazoqui Apecechea, Job Dullaart, et al.. (2020). A High-Resolution Global Dataset of Extreme Sea Levels, Tides, and Storm Surges, Including Future Projections. Frontiers in Marine Science. 7. 180 indexed citations
3.
4.
Verlaan, Martin, et al.. (2017). Global-to-local scale storm surge modelling on tropical cyclone affected coasts. 358–364. 3 indexed citations
5.
Zhang, Xiangli, et al.. (2013). A Multi-Partitioning BasedData Gathering Scheme forWSN/WSAN. International Journal of Advancements in Computing Technology. 5(11). 99–108.
6.
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8.
Yan, Kun, Jianjun Fang, & Bhagwan T. Shahani. (1998). An assessment of motor unit discharge patterns in stroke patients using a surface electromyographic technique. Muscle & Nerve. 21(7). 946–947. 4 indexed citations
9.
Yan, Kun, Jianjun Fang, & Bhagwan T. Shahani. (1998). Motor unit discharge behaviors in stroke patients. Muscle & Nerve. 21(11). 1502–1506. 9 indexed citations
10.
Yan, Kun, et al.. (1997). A Case of Central Cord Syndrome Caused by Intubation: A Case Report. Journal of Spinal Cord Medicine. 20(2). 230–232. 17 indexed citations
11.
Yan, Kun, et al.. (1996). Synaptic Membrane G Proteins Are Complexed with Tubulin In Situ. Journal of Neurochemistry. 66(4). 1489–1495. 33 indexed citations
12.
Rasenick, Mark M., Nan Wang, & Kun Yan. (1990). Specific associations between tubulin and G proteins: participation of cytoskeletal elements in cellular signal transduction.. PubMed. 24. 381–6. 19 indexed citations

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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2026