Jane Sharps

1.7k total citations
18 papers, 1.2k citations indexed

About

Jane Sharps is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Jane Sharps has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 9 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Jane Sharps's work include Influenza Virus Research Studies (14 papers), RNA and protein synthesis mechanisms (9 papers) and Respiratory viral infections research (7 papers). Jane Sharps is often cited by papers focused on Influenza Virus Research Studies (14 papers), RNA and protein synthesis mechanisms (9 papers) and Respiratory viral infections research (7 papers). Jane Sharps collaborates with scholars based in United Kingdom, Netherlands and Belgium. Jane Sharps's co-authors include Ervin Fodor, George G. Brownlee, Tao Deng, Louise J. Mingay, Mandy Crow, Jonathan M. Grimes, Alexander P. Walker, Haitian Fan, Leo L. M. Poon and J.R. Keown and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jane Sharps

18 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Sharps United Kingdom 14 974 639 423 236 178 18 1.2k
Patricia Resa‐Infante Spain 14 842 0.9× 664 1.0× 406 1.0× 230 1.0× 162 0.9× 20 1.2k
Tadasuke Naito Japan 13 542 0.6× 460 0.7× 331 0.8× 205 0.9× 83 0.5× 24 912
Rosa M. Dalton United Kingdom 10 969 1.0× 513 0.8× 462 1.1× 312 1.3× 154 0.9× 10 1.2k
Geoffrey Chase Germany 12 573 0.6× 381 0.6× 266 0.6× 199 0.8× 87 0.5× 14 782
Qinshan Gao United States 15 911 0.9× 410 0.6× 374 0.9× 290 1.2× 66 0.4× 18 1.2k
Paul A. Calvo United States 6 662 0.7× 410 0.6× 415 1.0× 192 0.8× 52 0.3× 6 1.1k
Juan Ayllón United States 19 684 0.7× 323 0.5× 581 1.4× 382 1.6× 70 0.4× 34 1.2k
Kiyoto Nakamura Japan 25 1.0k 1.1× 592 0.9× 318 0.8× 188 0.8× 59 0.3× 42 1.3k
Yi‐ying Chou United States 12 499 0.5× 355 0.6× 232 0.5× 239 1.0× 53 0.3× 14 843
Robert O’Neill United States 6 819 0.8× 255 0.4× 381 0.9× 222 0.9× 55 0.3× 11 984

Countries citing papers authored by Jane Sharps

Since Specialization
Citations

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

Fields of papers citing papers by Jane Sharps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Sharps

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

All Works

18 of 18 papers shown
1.
Groves, Danielle C., Andrew McMahon, Haitian Fan, et al.. (2025). Mechanistic insights into the activity of SARS-CoV-2 RNA polymerase inhibitors using single-molecule FRET. Nucleic Acids Research. 53(8). 1 indexed citations
2.
Fan, Haitian, J.R. Keown, Jane Sharps, et al.. (2022). The C-Terminal Domains of the PB2 Subunit of the Influenza A Virus RNA Polymerase Directly Interact with Cellular GTPase Rab11a. Journal of Virology. 96(5). e0197921–e0197921. 11 indexed citations
3.
Carrique, Loïc, Haitian Fan, Alexander P. Walker, et al.. (2020). Host ANP32A mediates the assembly of the influenza virus replicase. Nature. 587(7835). 638–643. 107 indexed citations
4.
Walker, Alexander P., Jane Sharps, & Ervin Fodor. (2020). Mutation of an Influenza Virus Polymerase 3′ RNA Promoter Binding Site Inhibits Transcription Elongation. Journal of Virology. 94(13). 9 indexed citations
5.
Fan, Haitian, Alexander P. Walker, Loïc Carrique, et al.. (2019). Structures of influenza A virus RNA polymerase offer insight into viral genome replication. Nature. 573(7773). 287–290. 149 indexed citations
6.
Nilsson-Payant, Benjamin E., Jane Sharps, Narin Hengrung, & Ervin Fodor. (2018). The Surface-Exposed PA 51-72 -Loop of the Influenza A Virus Polymerase Is Required for Viral Genome Replication. Journal of Virology. 92(16). 13 indexed citations
7.
Martin, Itziar Serna, Narin Hengrung, Max Renner, et al.. (2018). A Mechanism for the Activation of the Influenza Virus Transcriptase. Molecular Cell. 70(6). 1101–1110.e4. 43 indexed citations
8.
Powell, Timothy J., Jonathan D. Silk, Jane Sharps, Ervin Fodor, & Alain Townsend. (2012). Pseudotyped Influenza A Virus as a Vaccine for the Induction of Heterotypic Immunity. Journal of Virology. 86(24). 13397–13406. 64 indexed citations
9.
Vreede, Frank T., Annie Chan, Jane Sharps, & Ervin Fodor. (2009). Mechanisms and functional implications of the degradation of host RNA polymerase II in influenza virus infected cells. Virology. 396(1). 125–134. 70 indexed citations
10.
Loucaides, Eva, et al.. (2009). Nuclear dynamics of influenza A virus ribonucleoproteins revealed by live-cell imaging studies. Virology. 394(1). 154–163. 34 indexed citations
11.
Deng, Tao, Jane Sharps, & George G. Brownlee. (2006). Role of the influenza virus heterotrimeric RNA polymerase complex in the initiation of replication. Journal of General Virology. 87(11). 3373–3377. 30 indexed citations
12.
Deng, Tao, Jane Sharps, Ervin Fodor, & George G. Brownlee. (2005). In Vitro Assembly of PB2 with a PB1-PA Dimer Supports a New Model of Assembly of Influenza A Virus Polymerase Subunits into a Functional Trimeric Complex. Journal of Virology. 79(13). 8669–8674. 128 indexed citations
13.
Fechter, Pierre, Louise J. Mingay, Jane Sharps, et al.. (2003). Two Aromatic Residues in the PB2 Subunit of Influenza A RNA Polymerase Are Crucial for Cap Binding. Journal of Biological Chemistry. 278(22). 20381–20388. 117 indexed citations
14.
Brownlee, George G. & Jane Sharps. (2002). The RNA Polymerase of Influenza A Virus Is Stabilized by Interaction with Its Viral RNA Promoter. Journal of Virology. 76(14). 7103–7113. 65 indexed citations
15.
Fodor, Ervin, Mandy Crow, Louise J. Mingay, et al.. (2002). A Single Amino Acid Mutation in the PA Subunit of the Influenza Virus RNA Polymerase Inhibits Endonucleolytic Cleavage of Capped RNAs. Journal of Virology. 76(18). 8989–9001. 222 indexed citations
16.
Poon, Leo L. M., David C. Pritlove, Jane Sharps, & George G. Brownlee. (1998). The RNA Polymerase of Influenza Virus, Bound to the 5′ End of Virion RNA, Acts in cis To Polyadenylate mRNA. Journal of Virology. 72(10). 8214–8219. 49 indexed citations
17.
Pritlove, David C., Leo L. M. Poon, Ervin Fodor, Jane Sharps, & George G. Brownlee. (1998). Polyadenylation of Influenza Virus mRNA Transcribed In Vitro from Model Virion RNA Templates: Requirement for 5′ Conserved Sequences. Journal of Virology. 72(2). 1280–1286. 67 indexed citations
18.
Harris, Henry, et al.. (1996). A different approach to tumour suppression: The Alexandra Kefalides Memorial Lecture. Journal of Cell Science. 109(9). 2189–2197. 5 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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