Clare Jolly

5.4k total citations · 2 hit papers
44 papers, 3.2k citations indexed

About

Clare Jolly is a scholar working on Virology, Immunology and Infectious Diseases. According to data from OpenAlex, Clare Jolly has authored 44 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Virology, 23 papers in Immunology and 16 papers in Infectious Diseases. Recurrent topics in Clare Jolly's work include HIV Research and Treatment (28 papers), Immune Cell Function and Interaction (20 papers) and T-cell and B-cell Immunology (16 papers). Clare Jolly is often cited by papers focused on HIV Research and Treatment (28 papers), Immune Cell Function and Interaction (20 papers) and T-cell and B-cell Immunology (16 papers). Clare Jolly collaborates with scholars based in United Kingdom, United States and South Africa. Clare Jolly's co-authors include Quentin J. Sattentau, Michael Hollinshead, Daniel M. Davis, Stefanie Sowinski, Stuart J. D. Neil, Nicola J. Booth, Stéphane Oddos, Anne Chauveau, Philipp Eissmann and Frances M. Brodsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Clare Jolly

44 papers receiving 3.2k citations

Hit Papers

Membrane nanotubes physically connect T cells over long d... 2008 2026 2014 2020 2008 2024 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clare Jolly United Kingdom 25 1.8k 1.4k 855 843 684 44 3.2k
Arnaud Moris France 32 1.3k 0.7× 2.1k 1.5× 603 0.7× 785 0.9× 1.2k 1.8× 63 3.6k
Françoise Porrot France 26 1.5k 0.8× 1.5k 1.1× 1.1k 1.3× 722 0.9× 575 0.8× 46 3.1k
Sylvie Le Gall United States 29 2.6k 1.5× 2.5k 1.8× 901 1.1× 974 1.2× 792 1.2× 64 4.2k
Massimo Pizzato Italy 28 1.7k 1.0× 1.0k 0.7× 953 1.1× 979 1.2× 733 1.1× 54 2.9k
Jack Greenhouse United States 23 1.3k 0.7× 1.0k 0.7× 903 1.1× 785 0.9× 632 0.9× 38 2.7k
Stuart Turville Australia 34 1.8k 1.0× 1.9k 1.4× 915 1.1× 845 1.0× 776 1.1× 86 3.7k
Kathleen L. Collins United States 34 2.4k 1.3× 1.8k 1.3× 903 1.1× 1.4k 1.6× 671 1.0× 68 4.2k
Gregory B. Melikyan United States 34 2.1k 1.2× 998 0.7× 1.4k 1.7× 1.3k 1.6× 950 1.4× 77 3.7k
Mariana Marin United States 31 1.7k 1.0× 1.0k 0.7× 1.1k 1.3× 1.3k 1.5× 902 1.3× 61 3.3k
Daniel Sauter Germany 31 1.5k 0.9× 1.4k 1.0× 1.2k 1.4× 778 0.9× 835 1.2× 82 3.1k

Countries citing papers authored by Clare Jolly

Since Specialization
Citations

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

Fields of papers citing papers by Clare Jolly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clare Jolly

This figure shows the co-authorship network connecting the top 25 collaborators of Clare Jolly. A scholar is included among the top collaborators of Clare Jolly 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 Clare Jolly. Clare Jolly 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.
Ridewood, Sophie, Robert J. Smith, Riccardo Zenezini Chiozzi, et al.. (2025). Macrocycle-based PROTACs selectively degrade cyclophilin A and inhibit HIV-1 and HCV. Nature Communications. 16(1). 1484–1484. 9 indexed citations
2.
Reuschl, Ann‐Kathrin, Benjamín L. Sievers, Kimia Kamelian, et al.. (2025). Signatures of omicron-like adaptation in early SARS-CoV-2 variants and chronic infection. Cell Reports. 44(8). 116135–116135. 1 indexed citations
3.
Reuschl, Ann‐Kathrin, Lucy Thorne, Matthew V. X. Whelan, et al.. (2024). Evolution of enhanced innate immune suppression by SARS-CoV-2 Omicron subvariants. Nature Microbiology. 9(2). 451–463. 34 indexed citations breakdown →
4.
Mesner, Dejan, Ann‐Kathrin Reuschl, Matthew V. X. Whelan, et al.. (2023). SARS-CoV-2 evolution influences GBP and IFITM sensitivity. Proceedings of the National Academy of Sciences. 120(5). e2212577120–e2212577120. 26 indexed citations
5.
Reuschl, Ann‐Kathrin, Tianyi Chen, Mervyn Singer, et al.. (2022). Executable network of SARS-CoV-2-host interaction predicts drug combination treatments. npj Digital Medicine. 5(1). 18–18. 10 indexed citations
6.
Datir, Rawlings, Steven A. Kemp, Kate El Bouzidi, et al.. (2020). In Vivo Emergence of a Novel Protease Inhibitor Resistance Signature in HIV-1 Matrix. mBio. 11(6). 9 indexed citations
7.
Len, Alice C. L., Shimona Starling, Maitreyi Shivkumar, & Clare Jolly. (2017). HIV-1 Activates T Cell Signaling Independently of Antigen to Drive Viral Spread. Cell Reports. 18(4). 1062–1074. 29 indexed citations
8.
Groppelli, Elisabetta, et al.. (2014). Retromer Regulates HIV-1 Envelope Glycoprotein Trafficking and Incorporation into Virions. PLoS Pathogens. 10(11). e1004518–e1004518. 48 indexed citations
9.
Titanji, Boghuma K, Marlén M. I. Aasa-Chapman, Deenan Pillay, & Clare Jolly. (2013). Protease inhibitors effectively block cell-to-cell spread of HIV-1 between T cells. Retrovirology. 10(1). 161–161. 65 indexed citations
10.
Wei, Bin, Lei Han, Truus E. M. Abbink, et al.. (2013). Immune adaptor ADAP in T cells regulates HIV-1 transcription and cell-cell viral spread via different co-receptors. Retrovirology. 10(1). 101–101. 7 indexed citations
11.
Epstein, Joyce L., et al.. (2011). A review of images of sleeping infants in UK magazines and on the internet.. PubMed. 84(9). 23–6. 6 indexed citations
12.
13.
Gonzàlez, Núria, Mercedes Bermejo, Esther Calonge, et al.. (2010). SDF-1/CXCL12 Production by Mature Dendritic Cells Inhibits the Propagation of X4-Tropic HIV-1 Isolates at the Dendritic Cell-T-Cell Infectious Synapse. Journal of Virology. 84(9). 4341–4351. 18 indexed citations
14.
Sowinski, Stefanie, Juha‐Matti Alakoskela, Clare Jolly, & Daniel M. Davis. (2010). Optimized methods for imaging membrane nanotubes between T cells and trafficking of HIV-1. Methods. 53(1). 27–33. 50 indexed citations
15.
Jolly, Clare & Quentin J. Sattentau. (2007). Regulated secretion from CD4+ T cells. Trends in Immunology. 28(11). 474–481. 31 indexed citations
16.
Jolly, Clare & Quentin J. Sattentau. (2006). Attachment Factors. Advances in experimental medicine and biology. 790. 1–23. 25 indexed citations
17.
Jolly, Clare & Quentin J. Sattentau. (2004). Retroviral Spread by Induction of Virological Synapses. Traffic. 5(9). 643–650. 198 indexed citations
18.
Jolly, Clare, et al.. (2004). HIV-1 Cell to Cell Transfer across an Env-induced, Actin-dependent Synapse. The Journal of Experimental Medicine. 199(2). 283–293. 496 indexed citations
19.
Jolly, Clare, et al.. (2001). Non-lytic extraction and characterisation of receptors for multiple strains of rotavirus. Archives of Virology. 146(7). 1307–1323. 14 indexed citations
20.
Jolly, Clare, et al.. (2000). Rotavirus Infection of MA104 Cells Is Inhibited by Ricinus Lectin and Separately Expressed Single Binding Domains. Virology. 275(1). 89–97. 51 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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