Kevin Chen

2.2k total citations
46 papers, 1.6k citations indexed

About

Kevin Chen is a scholar working on Molecular Biology, General Agricultural and Biological Sciences and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kevin Chen has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in General Agricultural and Biological Sciences and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kevin Chen's work include Agricultural Innovations and Practices (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Economics of Agriculture and Food Markets (4 papers). Kevin Chen is often cited by papers focused on Agricultural Innovations and Practices (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Economics of Agriculture and Food Markets (4 papers). Kevin Chen collaborates with scholars based in United States, China and Canada. Kevin Chen's co-authors include Jean C. Shih, Xiao‐Ming Ou, Bronwen Connor, Stephanie M. Hughes, Wenbin Wu, Jianguo Liu, Liangzhi You, Huajun Tang, Qiangyi Yu and Elena M. Vazey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Journal of Virology.

In The Last Decade

Kevin Chen

43 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Chen United States 19 376 369 205 175 137 46 1.6k
Kazushi Takahashi Japan 24 219 0.6× 190 0.5× 50 0.2× 186 1.1× 162 1.2× 128 2.2k
Anna Josephson Sweden 25 246 0.7× 617 1.7× 22 0.1× 183 1.0× 60 0.4× 81 2.1k
Paul Walker Australia 34 823 2.2× 79 0.2× 152 0.7× 37 0.2× 76 0.6× 104 3.8k
Elizabeth Watson United Kingdom 26 520 1.4× 100 0.3× 63 0.3× 96 0.5× 19 0.1× 44 2.3k
Biplab Dasgupta United States 31 1.9k 4.9× 290 0.8× 229 1.1× 64 0.4× 33 0.2× 72 4.4k
Gary W. Williams United States 29 770 2.0× 181 0.5× 445 2.2× 143 0.8× 17 0.1× 122 2.8k
Ricardo Alexandrino Garcia United States 18 317 0.8× 43 0.1× 56 0.3× 88 0.5× 28 0.2× 34 2.0k
Sarah Harper Canada 28 537 1.4× 434 1.2× 44 0.2× 137 0.8× 12 0.1× 102 2.7k
Nikolaos Volakakis United Kingdom 22 1.0k 2.7× 817 2.2× 145 0.7× 72 0.4× 14 0.1× 53 2.4k
Yanzhen Zhang China 22 409 1.1× 429 1.2× 33 0.2× 14 0.1× 87 0.6× 63 1.8k

Countries citing papers authored by Kevin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Chen. A scholar is included among the top collaborators of Kevin Chen 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 Chen. Kevin Chen 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.
2.
Hagedoorn, Nienke N., Michael J. Maze, Manuela Carugati, et al.. (2023). Global distribution of Leptospira serovar isolations and detections from animal host species: a systematic review and online database. medRxiv. 1 indexed citations
3.
Xu, Mingyuan, Zhenlong Chen, Kevin Chen, et al.. (2021). Phagocytosis of apoptotic endothelial cells reprograms macrophages in skin wounds. PubMed. 12. 100038–100038. 11 indexed citations
4.
Jackson, Sarah, Kevin Chen, Ian J. Groves, et al.. (2021). Latent Cytomegalovirus-Driven Recruitment of Activated CD4+ T Cells Promotes Virus Reactivation. Frontiers in Immunology. 12. 657945–657945. 13 indexed citations
5.
Guo, Yicheng, Kevin Chen, Peter D. Kwong, Lawrence Shapiro, & Zizhang Sheng. (2019). cAb-Rep: A Database of Curated Antibody Repertoires for Exploring Antibody Diversity and Predicting Antibody Prevalence. Frontiers in Immunology. 10. 2365–2365. 32 indexed citations
6.
Liu, Zhuqing, Elizabeth L. McMichael, Gulidanna Shayan, et al.. (2018). Novel Effector Phenotype of Tim-3+ Regulatory T Cells Leads to Enhanced Suppressive Function in Head and Neck Cancer Patients. Clinical Cancer Research. 24(18). 4529–4538. 91 indexed citations
7.
Wu, Wenbin, Qiangyi Yu, Liangzhi You, et al.. (2018). Global cropping intensity gaps: Increasing food production without cropland expansion. Land Use Policy. 76. 515–525. 160 indexed citations
8.
Cassidy, Sorcha, Andrea Magrì, Vanessa M. Cowton, et al.. (2017). KIR2DS2 recognizes conserved peptides derived from viral helicases in the context of HLA-C. Science Immunology. 2(15). 73 indexed citations
9.
Chen, Kevin, et al.. (2017). Optic nerve head problem. Survey of Ophthalmology. 64(4). 579–583. 4 indexed citations
10.
Godar, Sean C., et al.. (2010). Maladaptive defensive behaviours in monoamine oxidase A-deficient mice. The International Journal of Neuropsychopharmacology. 14(9). 1195–1207. 40 indexed citations
11.
Chen, Kevin, Junho Kim, Xinmei Li, & Byung Kook Lee. (2008). Modeling Recombinant Immunotoxin Efficacies in Solid Tumors. Annals of Biomedical Engineering. 36(3). 486–512. 12 indexed citations
12.
Chen, Kevin & Evgeny A. Budygin. (2007). Extracting the basal extracellular dopamine concentrations from the evoked responses: Re-analysis of the dopamine kinetics. Journal of Neuroscience Methods. 164(1). 27–42. 18 indexed citations
13.
Vazey, Elena M., Kevin Chen, Stephanie M. Hughes, & Bronwen Connor. (2006). Transplanted adult neural progenitor cells survive, differentiate and reduce motor function impairment in a rodent model of Huntington's disease. Experimental Neurology. 199(2). 384–396. 85 indexed citations
14.
Riazuddin, Saima, Shaheen N. Khan, Zubair M. Ahmed, et al.. (2005). Mutations in TRIOBP, Which Encodes a Putative Cytoskeletal-Organizing Protein, Are Associated with Nonsyndromic Recessive Deafness. The American Journal of Human Genetics. 78(1). 137–143. 76 indexed citations
15.
Chen, Kevin. (2005). Effects of tissue trauma on the characteristics of microdialysis zero-net-flux method sampling neurotransmitters. Journal of Theoretical Biology. 238(4). 863–881. 16 indexed citations
16.
17.
Chen, Kevin. (2004). Evidence on extracellular dopamine level in rat striatum: implications for the validity of quantitative microdialysis. Journal of Neurochemistry. 92(1). 46–58. 32 indexed citations
18.
Zhang, Haiyin, Tatsuya Ishigaki, Kunihiko Tani, et al.. (1997). Serotonin2A receptor gene polymorphism in mood disorders. Biological Psychiatry. 41(7). 768–773. 84 indexed citations
19.
Erdmann, Jeanette, Daphne Shimron‐Abarbanell, Marcella Rietschel, et al.. (1996). Systematic screening for mutations in the human serotonin-2A (5-HT2A) receptor gene: Identification of two naturally occurring receptor variants and association analysis in schizophrenia. Human Genetics. 97(5). 614–619. 158 indexed citations
20.
Shih, Jean C. & Kevin Chen. (1990). Molecular Studies of 5‐HT Receptorsa. Annals of the New York Academy of Sciences. 600(1). 206–211. 3 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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