Brent J. Ryckman

2.6k total citations
23 papers, 2.1k citations indexed

About

Brent J. Ryckman is a scholar working on Epidemiology, Parasitology and Genetics. According to data from OpenAlex, Brent J. Ryckman has authored 23 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 12 papers in Parasitology and 5 papers in Genetics. Recurrent topics in Brent J. Ryckman's work include Herpesvirus Infections and Treatments (21 papers), Cytomegalovirus and herpesvirus research (18 papers) and Toxoplasma gondii Research Studies (12 papers). Brent J. Ryckman is often cited by papers focused on Herpesvirus Infections and Treatments (21 papers), Cytomegalovirus and herpesvirus research (18 papers) and Toxoplasma gondii Research Studies (12 papers). Brent J. Ryckman collaborates with scholars based in United States, Italy and Slovakia. Brent J. Ryckman's co-authors include David C. Johnson, Richard J. Roller, Joel D. Baines, Ashley E. Reynolds, Michael A. Jarvis, Jean-Marc Lanchy, Elizabeth Wills, Jay A. Nelson, Derek D. Drummond and Li Liang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Virology and International Journal of Molecular Sciences.

In The Last Decade

Brent J. Ryckman

22 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brent J. Ryckman United States 19 2.0k 494 472 384 351 23 2.1k
Todd W. Wisner United States 23 1.4k 0.7× 231 0.5× 555 1.2× 287 0.7× 304 0.9× 29 1.6k
Clare Addison United Kingdom 14 1.4k 0.7× 390 0.8× 358 0.8× 226 0.6× 216 0.6× 15 1.7k
Eva Maria Borst Germany 24 1.4k 0.7× 328 0.7× 347 0.7× 324 0.8× 236 0.7× 46 1.6k
Susanne Bell United Kingdom 21 1.7k 0.8× 171 0.3× 618 1.3× 369 1.0× 528 1.5× 26 2.1k
Elke Bogner Germany 24 1.1k 0.6× 265 0.5× 163 0.3× 312 0.8× 134 0.4× 50 1.3k
Marvin Sommer United States 36 2.6k 1.3× 470 1.0× 739 1.6× 528 1.4× 541 1.5× 71 2.8k
Mark S. Parcells United States 24 1.0k 0.5× 150 0.3× 280 0.6× 293 0.8× 157 0.4× 49 1.5k
B. Karsten Tischer Germany 20 1.7k 0.9× 216 0.4× 362 0.8× 368 1.0× 351 1.0× 33 2.1k
Doina Atanasiu United States 18 1.3k 0.7× 116 0.2× 451 1.0× 222 0.6× 413 1.2× 24 1.6k
Catherine Sadzot‐Delvaux Belgium 25 1.4k 0.7× 260 0.5× 274 0.6× 118 0.3× 212 0.6× 52 1.6k

Countries citing papers authored by Brent J. Ryckman

Since Specialization
Citations

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

Fields of papers citing papers by Brent J. Ryckman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brent J. Ryckman. 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 Brent J. Ryckman. The network helps show where Brent J. Ryckman may publish in the future.

Co-authorship network of co-authors of Brent J. Ryckman

This figure shows the co-authorship network connecting the top 25 collaborators of Brent J. Ryckman. A scholar is included among the top collaborators of Brent J. Ryckman 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 Brent J. Ryckman. Brent J. Ryckman 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
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Fornara, Chiara, et al.. (2023). Fibroblast, Epithelial and Endothelial Cell-Derived Human Cytomegalovirus Strains Display Distinct Neutralizing Antibody Responses and Varying Levels of gH/gL Complexes. International Journal of Molecular Sciences. 24(5). 4417–4417. 7 indexed citations
3.
Yu, Qin, et al.. (2021). Mutagenesis of Human Cytomegalovirus Glycoprotein L Disproportionately Disrupts gH/gL/gO over gH/gL/pUL128-131. Journal of Virology. 95(17). e0061221–e0061221. 5 indexed citations
4.
Siddiquey, Mohammed Nure Alam, Qin Yu, Dong Yü, et al.. (2021). The Human Cytomegalovirus Protein UL116 Interacts with the Viral Endoplasmic-Reticulum-Resident Glycoprotein UL148 and Promotes the Incorporation of gH/gL Complexes into Virions. Journal of Virology. 95(15). e0220720–e0220720. 10 indexed citations
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Li, Gang, Christopher Nguyen, Brent J. Ryckman, William J. Britt, & Jeremy P. Kamil. (2015). A viral regulator of glycoprotein complexes contributes to human cytomegalovirus cell tropism. Proceedings of the National Academy of Sciences. 112(14). 4471–4476. 57 indexed citations
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Wille, Paul T., Todd W. Wisner, Brent J. Ryckman, & David C. Johnson. (2013). Human Cytomegalovirus (HCMV) Glycoprotein gB Promotes Virus Entry In Trans Acting as the Viral Fusion Protein Rather than as a Receptor-Binding Protein. mBio. 4(3). e00332–13. 78 indexed citations
11.
Nicola, Anthony V., Hector Aguilar, Jason Mercer, Brent J. Ryckman, & Christopher M. Wiethoff. (2013). Virus Entry by Endocytosis. Advances in Virology. 2013. 1–2. 33 indexed citations
12.
Saccoccio, Frances M., Anne Sauer, Amy E. Armstrong, et al.. (2011). Peptides from cytomegalovirus UL130 and UL131 proteins induce high titer antibodies that block viral entry into mucosal epithelial cells. Vaccine. 29(15). 2705–2711. 51 indexed citations
13.
Ryckman, Brent J., et al.. (2009). Human Cytomegalovirus TR Strain Glycoprotein O Acts as a Chaperone Promoting gH/gL Incorporation into Virions but Is Not Present in Virions. Journal of Virology. 84(5). 2597–2609. 45 indexed citations
14.
Ryckman, Brent J., et al.. (2008). HCMV gH/gL/UL128–131 interferes with virus entry into epithelial cells: Evidence for cell type-specific receptors. Proceedings of the National Academy of Sciences. 105(37). 14118–14123. 144 indexed citations
15.
Ryckman, Brent J., et al.. (2007). Characterization of the Human Cytomegalovirus gH/gL/UL128-131 Complex That Mediates Entry into Epithelial and Endothelial Cells. Journal of Virology. 82(1). 60–70. 252 indexed citations
16.
Ryckman, Brent J., Michael A. Jarvis, Derek D. Drummond, Jay A. Nelson, & David C. Johnson. (2005). Human Cytomegalovirus Entry into Epithelial and Endothelial Cells Depends on Genes UL128 to UL150 and Occurs by Endocytosis and Low-pH Fusion. Journal of Virology. 80(2). 710–722. 277 indexed citations
17.
Ryckman, Brent J., et al.. (2004). The HSV-1 Us3 protein kinase is sufficient to block apoptosis induced by overexpression of a variety of Bcl-2 family members. Virology. 319(2). 212–224. 97 indexed citations
18.
Ryckman, Brent J. & Richard J. Roller. (2003). Herpes Simplex Virus Type 1 Primary Envelopment: UL34 Protein Modification and the US3-UL34 Catalytic Relationship. Journal of Virology. 78(1). 399–412. 138 indexed citations
19.
Reynolds, Ashley E., Elizabeth Wills, Richard J. Roller, Brent J. Ryckman, & Joel D. Baines. (2002). Ultrastructural Localization of the Herpes Simplex Virus Type 1 U L 31, U L 34, and U S 3 Proteins Suggests Specific Roles in Primary Envelopment and Egress of Nucleocapsids. Journal of Virology. 76(17). 8939–8952. 273 indexed citations
20.
Reynolds, Ashley E., Brent J. Ryckman, Joel D. Baines, et al.. (2001). U L 31 and U L 34 Proteins of Herpes Simplex Virus Type 1 Form a Complex That Accumulates at the Nuclear Rim and Is Required for Envelopment of Nucleocapsids. Journal of Virology. 75(18). 8803–8817. 242 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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