Jeremy P. Kamil

3.8k total citations · 1 hit paper
46 papers, 2.4k citations indexed

About

Jeremy P. Kamil is a scholar working on Epidemiology, Molecular Biology and Parasitology. According to data from OpenAlex, Jeremy P. Kamil has authored 46 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Epidemiology, 9 papers in Molecular Biology and 8 papers in Parasitology. Recurrent topics in Jeremy P. Kamil's work include Cytomegalovirus and herpesvirus research (36 papers), Herpesvirus Infections and Treatments (26 papers) and Toxoplasma gondii Research Studies (8 papers). Jeremy P. Kamil is often cited by papers focused on Cytomegalovirus and herpesvirus research (36 papers), Herpesvirus Infections and Treatments (26 papers) and Toxoplasma gondii Research Studies (8 papers). Jeremy P. Kamil collaborates with scholars based in United States, United Kingdom and Germany. Jeremy P. Kamil's co-authors include Donald M. Coen, Nikolaus Osterrieder, B. Karsten Tischer, Sascha Trapp, Christopher Nguyen, Daniel Schumacher, Venugopal Nair, Robert F. Kalejta, Adam J. Hume and Jonathan S. Finkel and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jeremy P. Kamil

46 papers receiving 2.4k citations

Hit Papers

The Impact of Evolving SARS-CoV-2 Mutations and Variants ... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeremy P. Kamil United States 25 1.7k 526 383 340 338 46 2.4k
Holger Zimmermann Germany 28 2.0k 1.2× 497 0.9× 549 1.4× 289 0.8× 266 0.8× 86 2.9k
Michael A. McVoy United States 31 1.9k 1.1× 307 0.6× 482 1.3× 396 1.2× 352 1.0× 94 2.2k
Victor R. DeFilippis United States 30 981 0.6× 729 1.4× 750 2.0× 169 0.5× 1.0k 3.0× 57 2.6k
Daniel Santos Mansur Brazil 20 642 0.4× 515 1.0× 290 0.8× 216 0.6× 948 2.8× 40 1.7k
Karla J. Helbig Australia 27 647 0.4× 710 1.3× 597 1.6× 92 0.3× 1.1k 3.3× 77 2.6k
Nicholas Renzette United States 20 695 0.4× 528 1.0× 400 1.0× 96 0.3× 151 0.4× 28 1.5k
Stephen St. Jeor United States 31 915 0.5× 277 0.5× 813 2.1× 229 0.7× 397 1.2× 60 2.2k
G. R. Shellam Australia 29 1.5k 0.9× 229 0.4× 319 0.8× 255 0.8× 1.8k 5.2× 77 2.9k
Paulo César Peregrino Ferreira Brazil 29 977 0.6× 784 1.5× 430 1.1× 81 0.2× 347 1.0× 78 2.5k
Colomba Giorgi Italy 29 1.1k 0.6× 680 1.3× 687 1.8× 43 0.1× 297 0.9× 63 2.3k

Countries citing papers authored by Jeremy P. Kamil

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy P. Kamil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremy P. Kamil. 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 Jeremy P. Kamil. The network helps show where Jeremy P. Kamil may publish in the future.

Co-authorship network of co-authors of Jeremy P. Kamil

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy P. Kamil. A scholar is included among the top collaborators of Jeremy P. Kamil 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 Jeremy P. Kamil. Jeremy P. Kamil 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.
Collins-McMillen, Donna, Christopher J. Parkins, Michael F. Daily, et al.. (2025). Viral and host network analysis of the human cytomegalovirus transcriptome in latency. Proceedings of the National Academy of Sciences. 122(22). e2416114122–e2416114122. 3 indexed citations
2.
Norris, Michael, Mohammed Nure Alam Siddiquey, Jieyun Yin, et al.. (2025). The GATE glycoprotein complex enhances human cytomegalovirus entry in endothelial cells. Nature Microbiology. 10(7). 1605–1616. 2 indexed citations
3.
Goodrum, Felicia, et al.. (2023). Human cytomegalovirus attenuates AKT activity by destabilizing insulin receptor substrate proteins. Journal of Virology. 97(10). e0056323–e0056323. 6 indexed citations
4.
Pather, Shanti, Shabir A. Madhi, Benjamin J. Cowling, et al.. (2023). SARS-CoV-2 Omicron variants: burden of disease, impact on vaccine effectiveness and need for variant-adapted vaccines. Frontiers in Immunology. 14. 1130539–1130539. 35 indexed citations
5.
Collins-McMillen, Donna, Jeremy P. Kamil, Nathaniel J. Moorman, & Felicia Goodrum. (2020). Control of Immediate Early Gene Expression for Human Cytomegalovirus Reactivation. Frontiers in Cellular and Infection Microbiology. 10. 476–476. 19 indexed citations
6.
Hale, Andrew, Donna Collins-McMillen, Erik M. Lenarcic, et al.. (2020). FOXO transcription factors activate alternative major immediate early promoters to induce human cytomegalovirus reactivation. Proceedings of the National Academy of Sciences. 117(31). 18764–18770. 28 indexed citations
7.
Collins-McMillen, Donna, Michael Rak, Jason Buehler, et al.. (2019). Alternative promoters drive human cytomegalovirus reactivation from latency. Proceedings of the National Academy of Sciences. 116(35). 17492–17497. 50 indexed citations
9.
Zhang, Hongbo, Clarissa Read, Christopher Nguyen, et al.. (2019). The Human Cytomegalovirus Nonstructural Glycoprotein UL148 Reorganizes the Endoplasmic Reticulum. mBio. 10(6). 18 indexed citations
11.
Siddiquey, Mohammed Nure Alam, et al.. (2018). The Human Cytomegalovirus Endoplasmic Reticulum-Resident Glycoprotein UL148 Activates the Unfolded Protein Response. Journal of Virology. 92(20). 31 indexed citations
12.
Nguyen, Christopher & Jeremy P. Kamil. (2018). Pathogen at the Gates: Human Cytomegalovirus Entry and Cell Tropism. Viruses. 10(12). 704–704. 105 indexed citations
14.
Silva, Laurie A., Blair L. Strang, Eric W. Lin, Jeremy P. Kamil, & Donald M. Coen. (2011). Sites and roles of phosphorylation of the human cytomegalovirus DNA polymerase subunit UL44. Virology. 417(2). 268–280. 17 indexed citations
16.
Kamil, Jeremy P., Alison J. Lin, Wan Jin Jahng, et al.. (2009). Viral Mimicry of Cdc2/Cyclin-Dependent Kinase 1 Mediates Disruption of Nuclear Lamina during Human Cytomegalovirus Nuclear Egress. PLoS Pathogens. 5(1). e1000275–e1000275. 174 indexed citations
17.
Hume, Adam J., Jonathan S. Finkel, Jeremy P. Kamil, et al.. (2008). Phosphorylation of Retinoblastoma Protein by Viral Protein with Cyclin-Dependent Kinase Function. Science. 320(5877). 797–799. 185 indexed citations
18.
Jarosinski, Keith W., et al.. (2007). Horizontal Transmission of Marek's Disease Virus Requires U S 2, the U L 13 Protein Kinase, and gC. Journal of Virology. 81(19). 10575–10587. 102 indexed citations
19.
Trapp, Sascha, Mark S. Parcells, Jeremy P. Kamil, et al.. (2006). A virus-encoded telomerase RNA promotes malignant T cell lymphomagenesis. The Journal of Experimental Medicine. 203(5). 1307–1317. 102 indexed citations
20.
Osterrieder, Nikolaus, Jeremy P. Kamil, Daniel Schumacher, B. Karsten Tischer, & Sascha Trapp. (2006). Marek's disease virus: from miasma to model. Nature Reviews Microbiology. 4(4). 283–294. 329 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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