Kun Yan
Impact in
- Earth-Surface Processes top 10%
- Coastal and Marine Dynamics
- Atmospheric Science top 10%
- Tropical and Extratropical Cyclones Research
Papers in
-
- Neuroscience and Neuropharmacology Research 2
- Cerebrospinal fluid and hydrocephalus 1
-
- Cellular transport and secretion 2
- Co-authors
- Martin Verlaan (2 shared papers)Sanne Muis (1 shared paper)Maialen Irazoqui Apecechea (1 shared paper)Joao de Lima Rego (1 shared paper)Kristine S. Madsen (1 shared paper)Jian Su (1 shared paper)Job Dullaart (1 shared paper)Mark M. Rasenick (3 shared papers)
- Journals
- Journal of Neurochemistry (2 papers)Muscle & Nerve (2 papers)Frontiers in Marine Science (1 paper)International Journal of Advancements in Computing Technology (1 paper)PM&R (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Kun Yan
10 papers receiving 316 citations
Peers
Comparison fields: 5 of 83
- Earth-Surface Processes 66
- Atmospheric Science 137
- Oceanography 84
- Global and Planetary Change 103
- Cell Biology 41
Countries citing papers authored by Kun Yan
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
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-authors
The 24 scholars most cited alongside Kun Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 194 | |
| 2 | 1996 | 33 | |
| 3 | 2001 | 24 | |
| 4 | Specific associations between tubulin and G proteins: participation of cytoskeletal elements in cellular signal transduction. | 1990 | 19 |
| 5 | 1997 | 17 | |
| 6 | 2017 | 16 | |
| 7 | 1998 | 9 | |
| 8 | 1998 | 4 | |
| 9 | Global-to-local scale storm surge modelling on tropical cyclone affected coasts | 2017 | 3 |
| 10 | 2012 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2013 | 0 |
About Kun Yan
Kun Yan is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Oceanography and Atmospheric Science, having authored 12 papers that have together received 320 indexed citations. Recurring topics across this work include Tropical and Extratropical Cyclones Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cellular transport and secretion (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Bone and Joint Diseases (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Energy Efficient Wireless Sensor Networks (1 paper). The work is most often cited by research in Earth-Surface Processes (66 citations), Atmospheric Science (137 citations), Oceanography (84 citations), Global and Planetary Change (103 citations) and Cell Biology (41 citations). Kun Yan has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Martin Verlaan, Sanne Muis, Maialen Irazoqui Apecechea, Joao de Lima Rego, Kristine S. Madsen, Jian Su, Job Dullaart, Mark M. Rasenick, Nan Wang and J. Popova. Their work appears in journals such as Journal of Neurochemistry, Muscle & Nerve, Frontiers in Marine Science, International Journal of Advancements in Computing Technology and PM&R.
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.