Ian J. Groves

1.5k total citations
34 papers, 1.1k citations indexed

About

Ian J. Groves is a scholar working on Epidemiology, Molecular Biology and Parasitology. According to data from OpenAlex, Ian J. Groves has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 11 papers in Molecular Biology and 7 papers in Parasitology. Recurrent topics in Ian J. Groves's work include Cytomegalovirus and herpesvirus research (18 papers), Herpesvirus Infections and Treatments (11 papers) and Cervical Cancer and HPV Research (9 papers). Ian J. Groves is often cited by papers focused on Cytomegalovirus and herpesvirus research (18 papers), Herpesvirus Infections and Treatments (11 papers) and Cervical Cancer and HPV Research (9 papers). Ian J. Groves collaborates with scholars based in United Kingdom, United States and Germany. Ian J. Groves's co-authors include Nicholas Coleman, John Sinclair, Matthew B. Reeves, Gavin W. G. Wilkinson, Emma Poole, Robert E. White, Mark R. Wills, Cinzia G. Scarpini, Antonio Alcamı́ and Martin J. Allday and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ian J. Groves

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian J. Groves United Kingdom 18 715 395 252 248 139 34 1.1k
Joanne Trgovcich United States 21 865 1.2× 640 1.6× 150 0.6× 734 3.0× 461 3.3× 28 1.9k
Seiichiro Mori Japan 17 444 0.6× 402 1.0× 208 0.8× 143 0.6× 88 0.6× 39 902
Ayumi Kudoh Japan 26 847 1.2× 540 1.4× 975 3.9× 271 1.1× 100 0.7× 35 1.7k
Lai-Yee Wong United States 16 562 0.8× 365 0.9× 613 2.4× 381 1.5× 124 0.9× 21 1.1k
Sanae Nakayama Japan 17 430 0.6× 285 0.7× 392 1.6× 145 0.6× 69 0.5× 22 775
R Milne United Kingdom 21 945 1.3× 281 0.7× 156 0.6× 389 1.6× 187 1.3× 25 1.4k
Misako Yajima Japan 15 365 0.5× 210 0.5× 566 2.2× 458 1.8× 87 0.6× 25 1.1k
Laura Hertel United States 18 563 0.8× 302 0.8× 157 0.6× 317 1.3× 58 0.4× 42 944
Hiroki Isomura Japan 28 1.3k 1.8× 602 1.5× 1.1k 4.3× 335 1.4× 105 0.8× 52 2.1k
Valerie Zacny United States 9 497 0.7× 319 0.8× 364 1.4× 205 0.8× 139 1.0× 10 925

Countries citing papers authored by Ian J. Groves

Since Specialization
Citations

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

Fields of papers citing papers by Ian J. Groves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian J. Groves

This figure shows the co-authorship network connecting the top 25 collaborators of Ian J. Groves. A scholar is included among the top collaborators of Ian J. Groves 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 Ian J. Groves. Ian J. Groves 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.
Oliveira, Martha Trindade, G. P. Fiori, Michael Nevels, et al.. (2025). Expression Profile of Human Cytomegalovirus UL111A cmvIL-10 and LAcmvIL-10 Transcripts in Primary Cells and Cells from Renal Transplant Recipients. Viruses. 17(4). 501–501. 1 indexed citations
2.
Groves, Ian J., et al.. (2024). Host-encoded CTCF regulates human cytomegalovirus latency via chromatin looping. Proceedings of the National Academy of Sciences. 121(10). e2315860121–e2315860121. 7 indexed citations
3.
Poole, Emma, Ian J. Groves, David J. Owen, et al.. (2024). Repurposing an endogenous degradation domain for antibody-mediated disposal of cell-surface proteins. EMBO Reports. 25(3). 951–970. 3 indexed citations
4.
Groves, Ian J. & Christine M. O’Connor. (2024). Loopy virus or controlled contortionist? 3D regulation of HCMV gene expression by CTCF-driven chromatin interactions. Journal of Virology. 98(10). e0114824–e0114824. 1 indexed citations
5.
Groves, Ian J., et al.. (2023). Chromatin control of human cytomegalovirus infection. mBio. 14(4). e0032623–e0032623. 9 indexed citations
6.
Wass, Amanda B., Benjamin A. Krishna, Laura E. Herring, et al.. (2022). Cytomegalovirus US28 regulates cellular EphA2 to maintain viral latency. Science Advances. 8(43). eadd1168–eadd1168. 12 indexed citations
7.
Jackson, Sarah, Kevin Chen, Ian J. Groves, et al.. (2021). Latent Cytomegalovirus-Driven Recruitment of Activated CD4+ T Cells Promotes Virus Reactivation. Frontiers in Immunology. 12. 657945–657945. 13 indexed citations
8.
Groof, Timo W.M. De, Elizabeth Elder, Eleanor Y. Lim, et al.. (2021). Targeting the latent human cytomegalovirus reservoir for T-cell-mediated killing with virus-specific nanobodies. Nature Communications. 12(1). 4436–4436. 24 indexed citations
9.
Poole, Emma, Ian J. Groves, Sarah Jackson, Mark R. Wills, & John Sinclair. (2021). Using Primary Human Cells to Analyze Human Cytomegalovirus Biology. Methods in molecular biology. 2244. 51–81. 11 indexed citations
10.
Groves, Ian J., Jack Monahan, Cinzia G. Scarpini, et al.. (2021). Short- and long-range cis interactions between integrated HPV genomes and cellular chromatin dysregulate host gene expression in early cervical carcinogenesis. PLoS Pathogens. 17(8). e1009875–e1009875. 24 indexed citations
11.
Li, Shuang, Jan Meeldijk, Bernadet Blijenberg, et al.. (2020). Killer cell proteases can target viral immediate-early proteins to control human cytomegalovirus infection in a noncytotoxic manner. PLoS Pathogens. 16(4). e1008426–e1008426. 9 indexed citations
12.
Groves, Ian J., John Sinclair, & Mark R. Wills. (2020). Bromodomain Inhibitors as Therapeutics for Herpesvirus-Related Disease: All BETs Are Off?. Frontiers in Cellular and Infection Microbiology. 10. 329–329. 13 indexed citations
13.
Groves, Ian J. & Nicholas Coleman. (2018). Human papillomavirus genome integration in squamous carcinogenesis: what have next‐generation sequencing studies taught us?. The Journal of Pathology. 245(1). 9–18. 41 indexed citations
14.
15.
Cotic, Marius, C. David Wood, Ian J. Groves, et al.. (2018). Disruption of CTCF-YY1–dependent looping of the human papillomavirus genome activates differentiation-induced viral oncogene transcription. PLoS Biology. 16(10). e2005752–e2005752. 57 indexed citations
16.
17.
Murray, Matthew J., Harpreet K. Saini, Stijn van Dongen, et al.. (2013). LIN28 Expression in Malignant Germ Cell Tumors Downregulates let-7 and Increases Oncogene Levels. Cancer Research. 73(15). 4872–4884. 66 indexed citations
18.
19.
Groves, Ian J., et al.. (2006). Human Daxx-mediated Repression of Human Cytomegalovirus Gene Expression Correlates with a Repressive Chromatin Structure around the Major Immediate Early Promoter. Journal of Biological Chemistry. 281(49). 37652–37660. 133 indexed citations
20.
Finch, Emily, et al.. (1995). A Low Threshold Methadone Stabilisation Programme–Description and First Stage Evaluation. Addiction Research. 3(1). 63–71. 13 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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