Kevin Wang

49.9k total citations · 6 hit papers
515 papers, 29.6k citations indexed

About

Kevin Wang is a scholar working on Molecular Biology, Neurology and Epidemiology. According to data from OpenAlex, Kevin Wang has authored 515 papers receiving a total of 29.6k indexed citations (citations by other indexed papers that have themselves been cited), including 258 papers in Molecular Biology, 178 papers in Neurology and 130 papers in Epidemiology. Recurrent topics in Kevin Wang's work include Traumatic Brain Injury and Neurovascular Disturbances (168 papers), Traumatic Brain Injury Research (94 papers) and S100 Proteins and Annexins (89 papers). Kevin Wang is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (168 papers), Traumatic Brain Injury Research (94 papers) and S100 Proteins and Annexins (89 papers). Kevin Wang collaborates with scholars based in United States, Italy and China. Kevin Wang's 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 and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Kevin Wang

501 papers receiving 28.9k citations

Hit Papers

Millimeter Wave Mobile Communications for 5... 2000 2026 2008 2017 2013 2000 2015 2018 2020 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Wang United States 85 11.8k 6.7k 6.6k 5.2k 4.5k 515 29.6k
John H. Zhang United States 94 11.8k 1.0× 607 0.1× 14.0k 2.1× 6.3k 1.2× 1.6k 0.4× 1.1k 42.3k
Jonathan M. Cooper United Kingdom 81 12.2k 1.0× 4.1k 0.6× 6.1k 0.9× 1.8k 0.3× 2.0k 0.5× 573 29.1k
Matthias Schwab Germany 95 8.6k 0.7× 4.1k 0.6× 575 0.1× 3.2k 0.6× 338 0.1× 792 45.9k
Sung‐Hoon Kim South Korea 83 17.9k 1.5× 2.4k 0.4× 790 0.1× 1.7k 0.3× 1.5k 0.3× 1.4k 36.3k
Ludwig Kappos Switzerland 108 11.2k 0.9× 443 0.1× 16.0k 2.4× 2.8k 0.5× 1.8k 0.4× 818 55.7k
Norihiro Suzuki Japan 66 4.8k 0.4× 364 0.1× 4.6k 0.7× 2.2k 0.4× 643 0.1× 749 17.7k
Masaru Ishii Japan 60 4.2k 0.4× 1.5k 0.2× 952 0.1× 780 0.2× 863 0.2× 649 14.9k
Nitish V. Thakor United States 83 1.8k 0.2× 3.3k 0.5× 1.9k 0.3× 548 0.1× 234 0.1× 891 25.1k
Mingjie Zhang China 73 11.5k 1.0× 1.3k 0.2× 352 0.1× 1.5k 0.3× 4.5k 1.0× 932 23.0k
Jonathan D. Smith United States 71 9.9k 0.8× 602 0.1× 327 0.0× 2.7k 0.5× 896 0.2× 272 25.2k

Countries citing papers authored by Kevin Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kevin Wang

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

All Works

20 of 20 papers shown
1.
Abdelhady, Samar, Abdullah Shaito, Ali H. Eid, et al.. (2025). Edaravone: Advances on cytoprotective effects, pharmacological properties, and mechanisms of action. Pharmacological Reviews. 78(1). 100101–100101.
2.
Vaccari, Juan Pablo de Rivero, Andrew Reisner, Laura S. Blackwell, et al.. (2024). Inflammasome links traumatic brain injury, chronic traumatic encephalopathy, and Alzheimer’s disease. Neural Regeneration Research. 20(6). 1644–1664. 3 indexed citations
4.
Rocca, James R., Shuichi Hoshika, Zunyi Yang, et al.. (2024). A folding motif formed with an expanded genetic alphabet. Nature Chemistry. 16(10). 1715–1722. 4 indexed citations
5.
Wang, Kevin, et al.. (2023). Photo-Imageable Dielectrics Enabling Structured MEMS and 2.5D / 3D Bonding Systems. IMAPSource Proceedings. 2022(DPC). 1 indexed citations
6.
Engel-Nitz, Nicole, et al.. (2023). Iron Deficiency Anemia: The Impact of Intravenous Iron Replacement Treatment on Health Care Costs. Blood. 142(Supplement 1). 3697–3697. 1 indexed citations
8.
Wang, Kevin, et al.. (2022). A Reverse Genetic Approach for Studying sRNAs in Chlamydia trachomatis. mBio. 13(4). e0086422–e0086422. 3 indexed citations
9.
Robicsek, Steven A., Ronald L. Hayes, Kevin Wang, et al.. (2022). Predicting Clinical Outcomes 7–10 Years after Severe Traumatic Brain Injury: Exploring the Prognostic Utility of the IMPACT Lab Model and Cerebrospinal Fluid UCH-L1 and MAP-2. Neurocritical Care. 37(1). 172–183. 3 indexed citations
10.
Yang, Zhihui, Muhammad Abdul Baker Chowdhury, Sarah Gul, et al.. (2021). Ultra-early serum concentrations of neuronal and astroglial biomarkers predict poor neurological outcome after out-of-hospital cardiac arrest—a pilot neuroprognostic study. Resuscitation Plus. 7. 100133–100133. 9 indexed citations
11.
Whitehouse, Daniel, Miguel Monteiro, Endre Czeiter, et al.. (2021). Relationship of admission blood proteomic biomarkers levels to lesion type and lesion burden in traumatic brain injury: A CENTER-TBI study. EBioMedicine. 75. 103777–103777. 30 indexed citations
12.
Shakkour, Zaynab, Karl J. Habashy, Samar Abdelhady, et al.. (2020). Drug Repurposing in Neurological Disorders: Implications for Neurotherapy in Traumatic Brain Injury. The Neuroscientist. 27(6). 620–649. 8 indexed citations
13.
Zhang, Zeyu, et al.. (2019). A multivariable model of BRAFV600E and ultrasonographic features for predicting the risk of central lymph node metastasis in cN0 papillary thyroid microcarcinoma. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Shimizu, Hirohito, Adam D. Langenbacher, Kevin Wang, et al.. (2017). The Calcineurin-FoxO-MuRF1 signaling pathway regulates myofibril integrity in cardiomyocytes. eLife. 6. 31 indexed citations
15.
Berchtold, Martin W., Katarzyna Kulej, Kevin Wang, et al.. (2016). The Arrhythmogenic Calmodulin Mutation D129G Dysregulates Cell Growth, Calmodulin-dependent Kinase II Activity, and Cardiac Function in Zebrafish. Journal of Biological Chemistry. 291(52). 26636–26646. 27 indexed citations
16.
So, Po-Lin, et al.. (2014). PI3K-AKT Signaling Is a Downstream Effector of Retinoid Prevention of Murine Basal Cell Carcinogenesis. Cancer Prevention Research. 7(4). 407–417. 15 indexed citations
17.
Geng, Bob, et al.. (2014). Successful stem cell transplantation in Chediak-Higashi syndrome. The Journal of Allergy and Clinical Immunology In Practice. 3(2). 271–272. 1 indexed citations
18.
Azar, Yaniv, George N. Wong, Kevin Wang, et al.. (2013). 28 GHz propagation measurements for outdoor cellular communications using steerable beam antennas in New York city. 5143–5147. 310 indexed citations
19.
Ottens, Andrew K. & Kevin Wang. (2009). Neuroproteomics. Methods in molecular biology. 2 indexed citations
20.
Hays, Sheryl J., John L. Gilmore, Mark R. Emmerling, et al.. (1999). Benzenesulfonamide derivatives of 2-substituted 4H-3,1-benzoxazin-4-ones and benzthiazin-4-ones as inhibitors of complement C1r protease. Bioorganic & Medicinal Chemistry Letters. 9(6). 815–820. 16 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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