Iain K. Pemberton

699 total citations
17 papers, 465 citations indexed

About

Iain K. Pemberton is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Iain K. Pemberton has authored 17 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Infectious Diseases. Recurrent topics in Iain K. Pemberton's work include HIV Research and Treatment (4 papers), Bacterial Genetics and Biotechnology (4 papers) and HIV/AIDS drug development and treatment (4 papers). Iain K. Pemberton is often cited by papers focused on HIV Research and Treatment (4 papers), Bacterial Genetics and Biotechnology (4 papers) and HIV/AIDS drug development and treatment (4 papers). Iain K. Pemberton collaborates with scholars based in United Kingdom, France and Germany. Iain K. Pemberton's co-authors include Malcolm Buckle, Henri Buc, Andrew Travers, Georgi Muskhelishvili, Malcolm Buckle, Gordan Lauc, Evropi Τheodoratou, Nicholas T. Ventham, Maja Pučić‐Baković and Daniel Kolarich and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Iain K. Pemberton

17 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iain K. Pemberton United Kingdom 12 342 171 64 63 62 17 465
Valérie Labrousse France 8 251 0.7× 108 0.6× 125 2.0× 33 0.5× 164 2.6× 10 478
Moshe Bracha Israel 11 303 0.9× 118 0.7× 73 1.1× 51 0.8× 83 1.3× 19 526
Samuel Rulli United States 7 267 0.8× 59 0.3× 99 1.5× 33 0.5× 86 1.4× 15 442
Richard Fish United States 5 265 0.8× 87 0.5× 83 1.3× 50 0.8× 26 0.4× 7 456
Valérie Vivet‐Boudou France 13 370 1.1× 76 0.4× 192 3.0× 58 0.9× 86 1.4× 27 595
Alexander Kotov United States 6 161 0.5× 102 0.6× 139 2.2× 28 0.4× 82 1.3× 12 400
Aaron H. Graff United States 9 154 0.5× 82 0.5× 48 0.8× 15 0.2× 66 1.1× 10 352
Paul W. Keller United States 10 250 0.7× 59 0.3× 152 2.4× 154 2.4× 107 1.7× 12 530
Carine Farenc Australia 11 208 0.6× 46 0.3× 54 0.8× 166 2.6× 43 0.7× 17 483
Judith R. Levin United States 6 415 1.2× 155 0.9× 10 0.2× 71 1.1× 76 1.2× 7 500

Countries citing papers authored by Iain K. Pemberton

Since Specialization
Citations

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

Fields of papers citing papers by Iain K. Pemberton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iain K. Pemberton. 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 Iain K. Pemberton. The network helps show where Iain K. Pemberton may publish in the future.

Co-authorship network of co-authors of Iain K. Pemberton

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

All Works

17 of 17 papers shown
1.
Ciesielski, Fabrice, Joana Tavares, Nuno Santarém, et al.. (2021). Toward Chemical Validation of Leishmania infantum Ribose 5-Phosphate Isomerase as a Drug Target. Antimicrobial Agents and Chemotherapy. 65(7). e0189220–e0189220. 5 indexed citations
2.
Gaspar, Luís, David Costa, Begoña Pérez‐Cabezas, et al.. (2018). Inhibitors of Trypanosoma cruzi Sir2 related protein 1 as potential drugs against Chagas disease. PLoS neglected tropical diseases. 12(1). e0006180–e0006180. 11 indexed citations
3.
Costa, David, Joana Tavares, Joana Faria, et al.. (2018). The crystal structure of the Leishmania infantum Silent Information Regulator 2 related protein 1: Implications to protein function and drug design. PLoS ONE. 13(3). e0193602–e0193602. 15 indexed citations
4.
Dagostino, Concetta, Manuela De Gregori, Judith Manz, et al.. (2017). Validation of standard operating procedures in a multicenter retrospective study to identify -omics biomarkers for chronic low back pain. PLoS ONE. 12(5). e0176372–e0176372. 11 indexed citations
5.
Τheodoratou, Evropi, Harry Campbell, Nicholas T. Ventham, et al.. (2014). The role of glycosylation in IBD. Nature Reviews Gastroenterology & Hepatology. 11(10). 588–600. 128 indexed citations
6.
Dauth, Christina, et al.. (2014). Facile Synthesis of Cyclohexanediones and Dialkylresorcinols – Bioactive Natural Products from Entomopathogenic Bacteria. European Journal of Organic Chemistry. 2014(36). 8026–8028. 13 indexed citations
7.
Rachidi, Najma, Sarah Gharbi, Thierry Blisnick, et al.. (2012). Apoptotic Marker Expression in the Absence of Cell Death in Staurosporine-Treated Leishmania donovani. Antimicrobial Agents and Chemotherapy. 57(3). 1252–1261. 22 indexed citations
8.
Späth, Gérald F., et al.. (2010). Probing the dynamic nature of signalling pathways by IMAC and SELDI-tof MS. Archives of Physiology and Biochemistry. 116(4-5). 163–173. 2 indexed citations
9.
Buckle, Malcolm, Tamara Kutateladze, Ramesh Mavathur, et al.. (2003). Mechanism of Transcriptional Activation by FIS: Role of Core Promoter Structure and DNA Topology. Journal of Molecular Biology. 331(2). 331–344. 50 indexed citations
10.
Pemberton, Iain K., Georgi Muskhelishvili, Andrew Travers, & Malcolm Buckle. (2002). FIS Modulates the Kinetics of Successive Interactions of RNA Polymerase with the Core and Upstream Regions of the tyrT Promoter. Journal of Molecular Biology. 318(3). 651–663. 34 indexed citations
11.
Pemberton, Iain K., Georgi Muskhelishvili, Andrew Travers, & Malcolm Buckle. (2000). The G+C-rich discriminator region of the tyr T promoter antagonises the formation of stable preinitiation complexes 1 1Edited by M. Yaniv. Journal of Molecular Biology. 299(4). 859–864. 52 indexed citations
12.
Buckle, Malcolm, et al.. (1999). The Kinetics of Sigma Subunit Directed Promoter Recognition by E. coli RNA Polymerase. Journal of Molecular Biology. 285(3). 955–964. 41 indexed citations
13.
Pemberton, Iain K. & Malcolm Buckle. (1999). Real time in vitro analysis of transcription by RNA polymerase on immobilized DNA fibres. Journal of Molecular Recognition. 12(5). 322–327. 8 indexed citations
14.
Pemberton, Iain K., Henri Buc, & Malcolm Buckle. (1998). Displacement of Viral DNA Termini from Stable HIV-1 Integrase Nucleoprotein Complexes Induced by Secondary DNA-Binding Interactions. Biochemistry. 37(8). 2682–2690. 13 indexed citations
15.
Pemberton, Iain K., Malcolm Buckle, & Henri Buc. (1996). The Metal Ion-induced Cooperative Binding of HIV-1 Integrase to DNA Exhibits a Marked Preference for Mn(II) Rather than Mg(II). Journal of Biological Chemistry. 271(3). 1498–1506. 58 indexed citations
16.
Pemberton, Iain K. & Onkar Singh. (1993). In vitro biochemical activities associated with recombinant HIV-1 integrase. Biochemical Society Transactions. 21(1). 51S–51S. 1 indexed citations
17.
Pemberton, Iain K. & John Oxford. (1991). 4-Quinolones do not inhibit the nickase activity of HIV integrase. Antiviral Research. 15. 72–72. 1 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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