Kevin Shi

2.8k total citations · 1 hit paper
32 papers, 2.0k citations indexed

About

Kevin Shi is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Kevin Shi has authored 32 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Kevin Shi's work include Nonmelanoma Skin Cancer Studies (6 papers), Cutaneous Melanoma Detection and Management (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Kevin Shi is often cited by papers focused on Nonmelanoma Skin Cancer Studies (6 papers), Cutaneous Melanoma Detection and Management (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Kevin Shi collaborates with scholars based in United States, Canada and Australia. Kevin Shi's co-authors include Masato Kato, Steven L. McKnight, Leeju C. Wu, Lin Li, Jamie Longgood, David Eisenberg, She Chen, Elizabeth J. Goldsmith, Jimin Pei and M.R. Sawaya and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Kevin Shi

29 papers receiving 2.0k citations

Hit Papers

Cell-free Formation of RNA Granules: Low Complexity Seque... 2012 2026 2016 2021 2012 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Shi United States 10 1.7k 306 185 164 131 32 2.0k
Edroaldo Lummertz da Rocha United States 19 1.4k 0.9× 290 0.9× 191 1.0× 269 1.6× 300 2.3× 47 2.1k
Joshua Wheeler United States 13 2.6k 1.6× 272 0.9× 168 0.9× 353 2.2× 131 1.0× 26 2.9k
James Messing United States 15 1.9k 1.1× 668 2.2× 406 2.2× 317 1.9× 111 0.8× 16 2.5k
Saumya Jain United States 11 3.4k 2.0× 220 0.7× 115 0.6× 435 2.7× 79 0.6× 19 3.7k
Amandine Molliex United States 8 3.0k 1.8× 736 2.4× 331 1.8× 396 2.4× 369 2.8× 10 3.5k
Valeria de Turris Italy 19 1.5k 0.9× 185 0.6× 151 0.8× 108 0.7× 42 0.3× 42 1.9k
Naoki Amano Japan 16 1.7k 1.0× 77 0.3× 158 0.9× 55 0.3× 154 1.2× 40 2.1k
Zachary C. Dobbin United States 15 1.3k 0.8× 60 0.2× 37 0.2× 335 2.0× 118 0.9× 18 2.2k
Fabien Kuttler Switzerland 15 632 0.4× 336 1.1× 34 0.2× 126 0.8× 257 2.0× 24 1.5k
Maria A. Lagarkova Russia 22 1.2k 0.7× 91 0.3× 95 0.5× 58 0.4× 120 0.9× 124 1.9k

Countries citing papers authored by Kevin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Shi. A scholar is included among the top collaborators of Kevin Shi 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 Shi. Kevin Shi 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.
Cokol, Murat, Zohar Weinstein, Kevin Shi, et al.. (2025). Analyzing the large and complex SFARI autism cohort data using the Genotypes and Phenotypes in Families (GPF) platform. Genome Research. 35(10). 2352–2362.
2.
Shi, Kevin, et al.. (2023). Outcomes of Squamous Cell Carcinoma of the Lip Treated With Mohs Micrographic Surgery: A Retrospective Cohort Study. Dermatologic Surgery. 49(12). 1108–1111. 2 indexed citations
3.
Bertsimas, Dimitris, et al.. (2023). Accelerating Vaccine Innovation for Emerging Infectious Diseases via Parallel Discovery. RePEc: Research Papers in Economics. 2. 9–39. 1 indexed citations
4.
Shi, Kevin, Andrew Matsumoto, & Rajiv I. Nijhawan. (2023). Periosteal tacking sutures to facilitate primary repair of eyebrow-adjacent Mohs defects. Journal of the American Academy of Dermatology. 89(2). e77–e78.
5.
Shi, Kevin & Sherif Saad. (2023). Automated Feature Engineering for AutoML Using Genetic Algorithms. 450–459. 1 indexed citations
6.
Shi, Kevin, et al.. (2022). Mohs micrographic surgery for periocular skin cancer: a single-institution experience. Archives of Dermatological Research. 315(5). 1181–1186. 5 indexed citations
7.
Shi, Kevin, et al.. (2022). Long-term outcomes of high-risk basal cell carcinoma treated with Mohs micrographic surgery. JAAD International. 8. 16–18. 1 indexed citations
8.
Gangemi, Antonio, et al.. (2022). A Call to Evaluate Manual Dexterity of Prospective Surgical Trainees. Journal of Surgical Research. 279. 518–525. 5 indexed citations
9.
Shi, Kevin, et al.. (2022). Cost effectiveness of melanoma in situ resection and repair by dermatology compared to non-dermatology specialties at a single institution. Archives of Dermatological Research. 315(3). 661–663. 1 indexed citations
10.
Golumbic, Yaela N., et al.. (2022). Self-reflection promotes learning in citizen science and serves as an effective assessment tool. SHILAP Revista de lepidopterología. 3. 100104–100104. 6 indexed citations
11.
Pearson, Nathaniel M., Christian Stolte, Kevin Shi, et al.. (2021). GenomeDiver: a platform for phenotype-guided medical genomic diagnosis. Genetics in Medicine. 23(10). 1998–2002. 5 indexed citations
12.
Lopes, Rui M., Kevin Shi, Nuno A. Fonseca, et al.. (2021). Modelling the impact of nucleolin expression level on the activity of F3 peptide-targeted pH-sensitive pegylated liposomes containing doxorubicin. Drug Delivery and Translational Research. 12(3). 629–646. 11 indexed citations
13.
El‐Nachef, Danny, Kevin Shi, Kevin M. Beussman, et al.. (2020). A Rainbow Reporter Tracks Single Cells and Reveals Heterogeneous Cellular Dynamics among Pluripotent Stem Cells and Their Differentiated Derivatives. Stem Cell Reports. 15(1). 226–241. 13 indexed citations
14.
Murzaku, Era Caterina, Kevin Shi, Divya Srivastava, & Rajiv I. Nijhawan. (2020). Surgical management and practices in pregnancy and lactation: A survey of United States dermatologic surgeons. Journal of the American Academy of Dermatology. 84(4). 1134–1136.
15.
Liu, Luman, Jared A. Shadish, Christopher K. Arakawa, et al.. (2018). Cyclic Stiffness Modulation of Cell‐Laden Protein–Polymer Hydrogels in Response to User‐Specified Stimuli Including Light. Advanced Biosystems. 2(12). 106 indexed citations
16.
Kwong, Jennifer Q., Jiuzhou Huo, Michael J. Bround, et al.. (2018). The mitochondrial calcium uniporter underlies metabolic fuel preference in skeletal muscle. JCI Insight. 3(22). 61 indexed citations
17.
Hsu, Daniel, Kevin Shi, & Xiaorui Sun. (2017). Linear regression without correspondence. Neural Information Processing Systems. 30. 1531–1540. 16 indexed citations
18.
Shi, Kevin, et al.. (2017). Super-resolved 3-D imaging of live cells’ organelles from bright-field photon transmission micrographs. Ultramicroscopy. 179. 1–14. 2 indexed citations
19.
Shi, Kevin, Eiichiro Mori, Zehra F. Nizami, et al.. (2017). Toxic PR n poly-dipeptides encoded by the C9orf72 repeat expansion block nuclear import and export. Proceedings of the National Academy of Sciences. 114(7). E1111–E1117. 176 indexed citations
20.
Kato, Masato, Tina W. Han, Shanhai Xie, et al.. (2012). Cell-free Formation of RNA Granules: Low Complexity Sequence Domains Form Dynamic Fibers within Hydrogels. Cell. 149(4). 753–767. 1525 indexed citations breakdown →

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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