Kevin Grimes

1.8k total citations · 1 hit paper
23 papers, 1.3k citations indexed

About

Kevin Grimes is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Kevin Grimes has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Oncology. Recurrent topics in Kevin Grimes's work include Computational Drug Discovery Methods (3 papers), Health and Medical Research Impacts (3 papers) and Receptor Mechanisms and Signaling (3 papers). Kevin Grimes is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Health and Medical Research Impacts (3 papers) and Receptor Mechanisms and Signaling (3 papers). Kevin Grimes collaborates with scholars based in United States, United Kingdom and Italy. Kevin Grimes's co-authors include Daria Mochly‐Rosen, Kanad Das, Joseph M. Grimes, Nicholas J. Lowe, Samuel S. Ahn, Hans Naver, Lewis P. Stolman, John Hornberger, Markus Naumann and Dee Anna Glaser and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Nature Biotechnology.

In The Last Decade

Kevin Grimes

22 papers receiving 1.3k citations

Hit Papers

Protein kinase C, an elusive therapeutic target? 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Grimes United States 9 417 373 204 188 147 23 1.3k
Jaya P. Gnana‐Prakasam United States 22 1.2k 3.0× 323 0.9× 251 1.2× 268 1.4× 141 1.0× 39 2.1k
Cinzia Ciccacci Italy 25 492 1.2× 171 0.5× 51 0.3× 115 0.6× 296 2.0× 78 1.6k
Naohiko Ueda Japan 22 834 2.0× 166 0.4× 67 0.3× 206 1.1× 143 1.0× 76 1.9k
Zia Shariat‐Madar United States 26 558 1.3× 97 0.3× 500 2.5× 245 1.3× 297 2.0× 61 1.9k
Yongsheng Zhang China 23 468 1.1× 127 0.3× 55 0.3× 268 1.4× 296 2.0× 102 1.5k
Muhammad Arif Sweden 22 516 1.2× 166 0.4× 58 0.3× 108 0.6× 105 0.7× 65 1.0k
Tuo Shao United States 17 709 1.7× 214 0.6× 61 0.3× 162 0.9× 112 0.8× 45 1.6k
Sabine Wolf Germany 13 462 1.1× 152 0.4× 50 0.2× 135 0.7× 218 1.5× 22 1.2k
Nga Nguyen United States 22 384 0.9× 98 0.3× 251 1.2× 189 1.0× 188 1.3× 47 1.4k
David Olivares Spain 18 214 0.5× 135 0.4× 34 0.2× 149 0.8× 123 0.8× 48 1.3k

Countries citing papers authored by Kevin Grimes

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Grimes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Grimes

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Grimes. A scholar is included among the top collaborators of Kevin Grimes 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 Grimes. Kevin Grimes 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.
Ndlovu, Ntokozo, et al.. (2025). Trends in gastrointestinal cancer burden in Zimbabwe: 10-year retrospective study 2009–2018. ecancermedicalscience. 19. 1839–1839. 1 indexed citations
2.
Kim, Jeewon, et al.. (2024). SPARKing academic technologies across the valley of death. Nature Biotechnology. 42(2). 339–342.
3.
Guttenplan, Kevin A., Benjamin Smith, Nigam H. Shah, et al.. (2023). Beta-2 adrenergic receptor agonism alters astrocyte phagocytic activity and has potential applications to psychiatric disease. SHILAP Revista de lepidopterología. 3(1). 27–27. 1 indexed citations
4.
Mochly‐Rosen, Daria & Kevin Grimes. (2023). A Practical Guide to Drug Development in Academia. 1 indexed citations
5.
Staedtke, Verena, Piotr Topilko, Lu Q. Le, et al.. (2023). Existing and Developing Preclinical Models for Neurofibromatosis Type 1−Related Cutaneous Neurofibromas. Journal of Investigative Dermatology. 143(8). 1378–1387. 5 indexed citations
6.
Reimer, Richard J., André Gonçalves, Braden Soper, et al.. (2023). An electronic health record cohort of Veterans with amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 24(7-8). 695–701. 2 indexed citations
8.
Hanson‐Kahn, Andrea, et al.. (2022). Preventive drugs for Huntington’s disease: A choice-based conjoint survey of patient preferences. Journal of Clinical and Translational Science. 6(1). e35–e35. 1 indexed citations
9.
Wilson, Jennifer L., et al.. (2022). Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with deep graph networks. PLoS Computational Biology. 18(5). e1009531–e1009531. 3 indexed citations
10.
Sobel, Raymond A., et al.. (2022). Azetidine-2-Carboxylic Acid-Induced Oligodendrogliopathy: Relevance to the Pathogenesis of Multiple Sclerosis. Journal of Neuropathology & Experimental Neurology. 81(6). 414–433. 7 indexed citations
11.
Andreasson, Johan O. L., Kevin Grimes, Lyn R. Frumkin, et al.. (2021). Treatment-refractory ulcerative colitis responsive to indigo naturalis. BMJ Open Gastroenterology. 8(1). e000813–e000813. 23 indexed citations
12.
Grimes, Joseph M. & Kevin Grimes. (2020). p38 MAPK inhibition: A promising therapeutic approach for COVID-19. Journal of Molecular and Cellular Cardiology. 144. 63–65. 202 indexed citations
13.
Sumi, Eriko, Ryuta Asada, Ying Lü, Toshiko Ito‐Ihara, & Kevin Grimes. (2020). A Qualitative Study on the Differences Between Trial Populations and the Approved Therapeutic Indications of Antineoplastic Agents by 3 Regulatory Agencies From 2010 to 2018. Clinical Therapeutics. 42(2). 305–320.e0. 3 indexed citations
14.
Knox, Susan J., Kathryn J. Stevens, Navjot Sandhu, et al.. (2019). Results from a Phase 1 Study of Sodium Selenite in Combination with Palliative Radiation Therapy in Patients with Metastatic Cancer. Translational Oncology. 12(11). 1525–1531. 7 indexed citations
15.
Chen, Che‐Hong, Gernot Kaber, Daria Mochly‐Rosen, et al.. (2017). Human Chitotriosidase Does Not Catabolize Hyaluronan. International Journal of Biological Macromolecules. 109. 629–633. 1 indexed citations
16.
Christen, Markus, Nikola Biller‐Andorno, Berit Bringedal, et al.. (2016). Ethical Challenges of Simulation-Driven Big Neuroscience. AJOB Neuroscience. 7(1). 5–17. 13 indexed citations
17.
Mochly‐Rosen, Daria & Kevin Grimes. (2014). A practical guide to drug development in academia : the SPARK approach. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3 indexed citations
18.
Mochly‐Rosen, Daria, Kanad Das, & Kevin Grimes. (2012). Protein kinase C, an elusive therapeutic target?. Nature Reviews Drug Discovery. 11(12). 937–957. 445 indexed citations breakdown →
19.
Hornberger, John, Kevin Grimes, Markus Naumann, et al.. (2004). Recognition, diagnosis, and treatment of primary focal hyperhidrosis. Journal of the American Academy of Dermatology. 51(2). 274–286. 311 indexed citations
20.

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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