Richard D. Palermo

421 total citations
9 papers, 327 citations indexed

About

Richard D. Palermo is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Richard D. Palermo has authored 9 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Pathology and Forensic Medicine and 4 papers in Molecular Biology. Recurrent topics in Richard D. Palermo's work include Viral-associated cancers and disorders (6 papers), Lymphoma Diagnosis and Treatment (5 papers) and Epigenetics and DNA Methylation (3 papers). Richard D. Palermo is often cited by papers focused on Viral-associated cancers and disorders (6 papers), Lymphoma Diagnosis and Treatment (5 papers) and Epigenetics and DNA Methylation (3 papers). Richard D. Palermo collaborates with scholars based in United Kingdom, Germany and United States. Richard D. Palermo's co-authors include Michelle J. West, Helen Webb, C. David Wood, Robert E. White, Richard G. Jenner, Agnieszka Szymula, Aditi Kanhere, Ian J. Groves, Beth Holder and Harshil Patel and has published in prestigious journals such as PLoS ONE, Journal of Virology and Genome biology.

In The Last Decade

Richard D. Palermo

9 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard D. Palermo United Kingdom 9 208 134 92 77 68 9 327
Quentin Bazot United Kingdom 11 258 1.2× 92 0.7× 120 1.3× 117 1.5× 107 1.6× 16 343
Jens Kalchschmidt United Kingdom 7 149 0.7× 85 0.6× 62 0.7× 60 0.8× 100 1.5× 8 268
Natasha Webb Australia 8 167 0.8× 137 1.0× 50 0.5× 83 1.1× 91 1.3× 10 319
Charles Chau United States 6 227 1.1× 145 1.1× 50 0.5× 148 1.9× 38 0.6× 6 371
Christopher M. Yan United States 7 181 0.9× 176 1.3× 51 0.6× 103 1.3× 75 1.1× 9 357
Semra Kati Germany 10 217 1.0× 90 0.7× 50 0.5× 183 2.4× 59 0.9× 10 335
Q Zhang United States 5 347 1.7× 121 0.9× 100 1.1× 97 1.3× 80 1.2× 8 403
Jason P. Tourigny United States 5 222 1.1× 85 0.6× 79 0.9× 120 1.6× 83 1.2× 11 305
Alexander Buschle Germany 8 256 1.2× 122 0.9× 92 1.0× 118 1.5× 123 1.8× 8 390
Marcel Pietrek Germany 10 294 1.4× 91 0.7× 74 0.8× 209 2.7× 37 0.5× 10 375

Countries citing papers authored by Richard D. Palermo

Since Specialization
Citations

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

Fields of papers citing papers by Richard D. Palermo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard D. Palermo. 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 Richard D. Palermo. The network helps show where Richard D. Palermo may publish in the future.

Co-authorship network of co-authors of Richard D. Palermo

This figure shows the co-authorship network connecting the top 25 collaborators of Richard D. Palermo. A scholar is included among the top collaborators of Richard D. Palermo 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 Richard D. Palermo. Richard D. Palermo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Abdullah, Mohammed M. Ba, Richard D. Palermo, Anne Palser, et al.. (2017). Heterogeneity of the Epstein-Barr Virus (EBV) Major Internal Repeat Reveals Evolutionary Mechanisms of EBV and a Functional Defect in the Prototype EBV Strain B95-8. Journal of Virology. 91(23). 26 indexed citations
3.
Patel, Harshil, et al.. (2014). Role of Polycomb Group Proteins in the DNA Damage Response – A Reassessment. PLoS ONE. 9(7). e102968–e102968. 16 indexed citations
4.
Pemberton, Helen N., Emma Anderton, Harshil Patel, et al.. (2014). Genome-wide co-localization of Polycomb orthologs and their effects on gene expression in human fibroblasts. Genome biology. 15(2). R23–R23. 41 indexed citations
5.
Wood, C. David, Tim J. Cooper, Aditi Kanhere, et al.. (2013). Modulation of Enhancer Looping and Differential Gene Targeting by Epstein-Barr Virus Transcription Factors Directs Cellular Reprogramming. PLoS Pathogens. 9(9). e1003636–e1003636. 73 indexed citations
6.
Wood, C. David, et al.. (2012). Downregulation of Integrin Receptor-Signaling Genes by Epstein-Barr Virus EBNA 3C via Promoter-Proximal and -Distal Binding Elements. Journal of Virology. 86(9). 5165–5178. 40 indexed citations
7.
Palermo, Richard D., Helen Webb, & Michelle J. West. (2011). RNA Polymerase II Stalling Promotes Nucleosome Occlusion and pTEFb Recruitment to Drive Immortalization by Epstein-Barr Virus. PLoS Pathogens. 7(10). e1002334–e1002334. 46 indexed citations
8.
Barth, Stephanie, Richard D. Palermo, Ursula Zimber‐Strobl, et al.. (2009). Asymmetric Arginine dimethylation of Epstein–Barr virus nuclear antigen 2 promotes DNA targeting. Virology. 397(2). 299–310. 16 indexed citations
9.
Palermo, Richard D., et al.. (2008). Regulation of transcription by the Epstein–Barr virus nuclear antigen EBNA 2. Biochemical Society Transactions. 36(4). 625–628. 14 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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