Kevin Wang
- Neurology top 0.05%
- Traumatic Brain Injury and Neurovascular Disturbances 168
- Cell Biology top 0.1%
- Calpain Protease Function and Regulation 82
- Cellular and Molecular Neuroscience top 0.2%
- Neuroscience and Neuropharmacology Research 35
- Emergency Medicine top 0.1%
- Cardiac Arrest and Resuscitation 40
- Neurology top 0.5%
- Traumatic Brain Injury and Neurovascular Disturbances 168
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- Traumatic Brain Injury Research 94
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- S100 Proteins and Annexins 89
- Connexins and lens biology 35
- Cell death mechanisms and regulation 34
Kevin Wang
501 papers receiving 28.9k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Neurology 6.6k
- Cell Biology 4.5k
- Cellular and Molecular Neuroscience 3.7k
- Emergency Medicine 2.0k
- Neurology 1.5k
Countries citing papers authored by Kevin Wang
This map shows the geographic impact of Kevin Wang'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 Kevin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Wang more than expected).
Fields of papers citing papers by Kevin Wang
This network shows the impact of papers produced by Kevin Wang. 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 Kevin Wang. The network helps show where Kevin Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin Wang, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 30 | |
| 12 | 2020 | 8 | |
| 13 | A multivariable model of BRAFV600E and ultrasonographic features for predicting the risk of central lymph node metastasis in cN0 papillary thyroid microcarcinoma | 2019 | 1 |
| 14 | 2017 | 31 | |
| 15 | 2016 | 27 | |
| 16 | 2014 | 15 | |
| 17 | 2014 | 1 | |
| 18 | 2013 | 310 | |
| 19 | 2009 | 2 | |
| 20 | 1999 | 16 |
About Kevin Wang
Kevin Wang is a scholar working on Neurology, Cell Biology, Emergency Medicine, Molecular Biology and Epidemiology, having authored 515 papers that have together received 29.6k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (168 papers), Traumatic Brain Injury Research (94 papers), S100 Proteins and Annexins (89 papers), Calpain Protease Function and Regulation (82 papers), Cardiac Arrest and Resuscitation (40 papers), Connexins and lens biology (35 papers), Neuroscience and Neuropharmacology Research (35 papers) and Cell death mechanisms and regulation (34 papers). The work is most often cited by research in Neurology (6.6k citations), Cell Biology (4.5k citations), Cellular and Molecular Neuroscience (3.7k citations), Emergency Medicine (2.0k citations) and Neurology (1.5k citations). Kevin Wang has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Ronald L. Hayes, George N. Wong, Félix Gutiérrez, Theodore S. Rappaport, Yaniv Azar, Shu Sun, Mathew K. Samimi, Hang Zhao, Zhihui Yang and Rathna Nath. Their work appears in journals such as Journal of Neurotrauma, Journal of Neurochemistry, Journal of Biological Chemistry, Molecular Neurobiology and Biochemical and Biophysical Research Communications.
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.