Paul R. Grant

5.5k total citations
45 papers, 1.7k citations indexed

About

Paul R. Grant is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Paul R. Grant has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Epidemiology, 20 papers in Hepatology and 12 papers in Infectious Diseases. Recurrent topics in Paul R. Grant's work include Hepatitis C virus research (19 papers), Hepatitis B Virus Studies (15 papers) and HIV Research and Treatment (12 papers). Paul R. Grant is often cited by papers focused on Hepatitis C virus research (19 papers), Hepatitis B Virus Studies (15 papers) and HIV Research and Treatment (12 papers). Paul R. Grant collaborates with scholars based in United Kingdom, United States and Canada. Paul R. Grant's co-authors include Jeremy A. Garson, Eleni Nastouli, Richard S. Tedder, R. Bridget Ferns, Paul Kellam, Jim F. Huggett, Carole A. Foy, Simon J. Watson, Anne Palser and Gavin Nixon and has published in prestigious journals such as The Lancet, PLoS ONE and Analytical Chemistry.

In The Last Decade

Paul R. Grant

44 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul R. Grant United Kingdom 24 759 542 535 350 238 45 1.7k
Bianca Bruzzone Italy 23 850 1.1× 948 1.7× 471 0.9× 202 0.6× 424 1.8× 120 1.8k
Bernard Weber Germany 27 1.4k 1.8× 784 1.4× 761 1.4× 153 0.4× 507 2.1× 103 2.2k
Cristina Giachetti United States 26 1.0k 1.3× 531 1.0× 579 1.1× 392 1.1× 250 1.1× 43 1.8k
Anna Rosa Garbuglia Italy 21 1.0k 1.3× 751 1.4× 753 1.4× 506 1.4× 665 2.8× 120 2.1k
Monica M. Parker United States 21 692 0.9× 1.1k 2.1× 302 0.6× 235 0.7× 351 1.5× 53 1.7k
Priya Abraham India 26 1.2k 1.5× 1.3k 2.5× 798 1.5× 395 1.1× 57 0.2× 172 2.7k
MP Busch United States 20 522 0.7× 403 0.7× 295 0.6× 211 0.6× 304 1.3× 42 1.4k
J. Saldanha United Kingdom 22 1.1k 1.4× 755 1.4× 912 1.7× 185 0.5× 115 0.5× 67 1.9k
Alexandra Valsamakis United States 31 1.9k 2.5× 883 1.6× 351 0.7× 435 1.2× 154 0.6× 71 2.8k
Florence Komurian-Pradel France 18 1.1k 1.4× 330 0.6× 741 1.4× 370 1.1× 89 0.4× 38 2.0k

Countries citing papers authored by Paul R. Grant

Since Specialization
Citations

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

Fields of papers citing papers by Paul R. Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul R. Grant. 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 Paul R. Grant. The network helps show where Paul R. Grant may publish in the future.

Co-authorship network of co-authors of Paul R. Grant

This figure shows the co-authorship network connecting the top 25 collaborators of Paul R. Grant. A scholar is included among the top collaborators of Paul R. Grant 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 Paul R. Grant. Paul R. Grant 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.
2.
Byott, Matthew, Moira Spyer, Paul R. Grant, et al.. (2023). Sensitive HIV-1 DNA Pol Next-Generation Sequencing for the Characterisation of Archived Antiretroviral Drug Resistance. Viruses. 15(9). 1811–1811. 1 indexed citations
3.
Tanwar, Sudeep, Paul Trembling, Brian Hogan, et al.. (2016). Biomarkers of Hepatic Fibrosis in Chronic Hepatitis C. Journal of Clinical Gastroenterology. 51(3). 268–277. 9 indexed citations
4.
Ferns, R. Bridget, Miao He, Roberto Rigatti, et al.. (2015). Ultra-deep sequencing provides insights into the virology of hepatitis C super-infections in a case of three sequential infections with different genotypes. Journal of Clinical Virology. 70. 63–66. 5 indexed citations
5.
Smith, Nicola, Petra Mlčochová, Sarah A. Watters, et al.. (2015). Proof-of-Principle for Immune Control of Global HIV-1 Reactivation In Vivo. Clinical Infectious Diseases. 61(1). 120–128. 14 indexed citations
6.
Cotten, Matthew, Tommy Tsan‐Yuk Lam, Simon J. Watson, et al.. (2013). Full-Genome Deep Sequencing and Phylogenetic Analysis of Novel Human Betacoronavirus. Emerging infectious diseases. 19(5). 736–42B. 113 indexed citations
7.
Garson, Jeremy A., R. Bridget Ferns, Paul R. Grant, et al.. (2012). Minor groove binder modification of widely used TaqMan probe for hepatitis E virus reduces risk of false negative real-time PCR results. Journal of Virological Methods. 186(1-2). 157–160. 104 indexed citations
8.
Tedder, Richard S., et al.. (2012). Therapy‐induced clearance of HCV core antigen from plasma predicts an end of treatment viral response. Journal of Viral Hepatitis. 20(1). 65–71. 26 indexed citations
9.
Wright, Edward, Paul R. Grant, Rosalind Parkes‐Ratanshi, et al.. (2011). Coreceptor and Cytokine Concentrations May Not Explain Differences in Disease Progression Observed in HIV-1 Clade A and D Infected Ugandans. PLoS ONE. 6(5). e19902–e19902. 2 indexed citations
10.
Paul, Joel, P. W. Tuke, Sally Hargreaves, et al.. (2011). Can plasma HHV8 viral load be used to differentiate multicentric Castleman disease from Kaposi sarcoma?. International Journal of STD & AIDS. 22(10). 585–589. 9 indexed citations
11.
Kidd, Michael, Eleni Nastouli, Rob Shulman, et al.. (2009). H1N1 pneumonitis treated with intravenous zanamivir. The Lancet. 374(9694). 1036–1036. 63 indexed citations
12.
Aarons, Emma, et al.. (2004). Failure to diagnose recent hepatitis C virus infections in London injecting drug users. Journal of Medical Virology. 73(4). 548–553. 15 indexed citations
13.
Gilbert, Nicola, Sally Corden, Samreen Ijaz, et al.. (2002). Comparison of commercial assays for the quantification of HBV DNA load in health care workers: calibration differences. Journal of Virological Methods. 100(1-2). 37–47. 23 indexed citations
14.
Grant, Paul R., et al.. (2002). Quantification of HCV RNA levels and detection of core antigen in donations before seroconversion. Transfusion. 42(8). 1032–1036. 12 indexed citations
15.
16.
Tedder, Richard S., Wolfgang Preiser, Nicola S. Brink, et al.. (2002). Development and evaluation of an internally controlled semiautomated PCR assay for quantification of cell‐free cytomegalovirus. Journal of Medical Virology. 66(4). 518–523. 7 indexed citations
17.
Grant, Paul R., Alan D. Kitchen, J. A. J. Barbara, et al.. (2000). Effects of Handling and Storage of Blood on the Stability of Hepatitis C Virus RNA: Implications for NAT Testing in Transfusion Practice. Vox Sanguinis. 78(3). 137–142. 25 indexed citations
18.
Grant, Paul R., et al.. (2000). Combination therapy with interferon-? plusN-acetyl cysteine for chronic hepatitis C: A placebo controlled double-blind multicentre study. Journal of Medical Virology. 61(4). 439–442. 23 indexed citations
19.
Grant, Paul R., Alan D. Kitchen, J. A. J. Barbara, et al.. (2000). Effects of Handling and Storage of Blood on the Stability of Hepatitis C Virus RNA: Implications for NAT Testing in Transfusion Practice. Vox Sanguinis. 78(3). 137–142. 29 indexed citations
20.
Grant, Paul R., et al.. (1992). The Impact of an Interinstitutional Relocation on Nursing Home Residents Requiring a High Level of Care. The Gerontologist. 32(6). 834–842. 32 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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