Bill Wickstead

8.0k total citations
62 papers, 3.4k citations indexed

About

Bill Wickstead is a scholar working on Epidemiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Bill Wickstead has authored 62 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Epidemiology, 32 papers in Molecular Biology and 22 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Bill Wickstead's work include Trypanosoma species research and implications (33 papers), Research on Leishmaniasis Studies (19 papers) and Microtubule and mitosis dynamics (11 papers). Bill Wickstead is often cited by papers focused on Trypanosoma species research and implications (33 papers), Research on Leishmaniasis Studies (19 papers) and Microtubule and mitosis dynamics (11 papers). Bill Wickstead collaborates with scholars based in United Kingdom, United States and Saudi Arabia. Bill Wickstead's co-authors include Keith Gull, Klaus Ersfeld, Steven Kelly, Catarina Gadelha, Matthew E. Hodges, Jane A. Langdale, Sue Vaughan, Hee‐Sook Kim, George Cross and Thomas A. Richards and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Bill Wickstead

61 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bill Wickstead United Kingdom 30 2.0k 1.4k 827 792 522 62 3.4k
Kent L. Hill United States 37 1.3k 0.7× 1.4k 1.0× 651 0.8× 514 0.6× 418 0.8× 63 3.1k
Philippe Bastin France 35 1.9k 0.9× 1.8k 1.2× 866 1.0× 848 1.1× 1.4k 2.7× 94 3.7k
Sue Vaughan United Kingdom 29 961 0.5× 1.2k 0.8× 604 0.7× 450 0.6× 318 0.6× 62 2.2k
Paul G. McKean United Kingdom 26 840 0.4× 1.0k 0.7× 682 0.8× 419 0.5× 362 0.7× 47 2.2k
Tom C. Hobman Canada 39 1.8k 0.9× 1.0k 0.7× 947 1.1× 306 0.4× 340 0.7× 112 4.1k
Ching C. Wang United States 37 2.7k 1.4× 1.8k 1.3× 649 0.8× 443 0.6× 168 0.3× 122 4.3k
Joseph Schrével France 37 1.5k 0.8× 633 0.4× 1.4k 1.7× 325 0.4× 316 0.6× 130 3.9k
Elisabetta Ullu United States 34 3.3k 1.7× 2.4k 1.7× 1.0k 1.2× 157 0.2× 336 0.6× 84 4.9k
Thierry Blisnick France 29 1.3k 0.7× 652 0.5× 916 1.1× 518 0.7× 971 1.9× 52 2.6k
Christiane Hertz‐Fowler United Kingdom 24 1.0k 0.5× 1.7k 1.2× 1.3k 1.6× 155 0.2× 188 0.4× 51 3.1k

Countries citing papers authored by Bill Wickstead

Since Specialization
Citations

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

Fields of papers citing papers by Bill Wickstead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bill Wickstead

This figure shows the co-authorship network connecting the top 25 collaborators of Bill Wickstead. A scholar is included among the top collaborators of Bill Wickstead 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 Bill Wickstead. Bill Wickstead 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
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Brusini, Lorenzo, et al.. (2021). Trypanosome KKIP1 Dynamically Links the Inner Kinetochore to a Kinetoplastid Outer Kinetochore Complex. Frontiers in Cellular and Infection Microbiology. 11. 641174–641174. 16 indexed citations
4.
Wickstead, Bill, et al.. (2016). The family-specific α4-helix of the kinesin-13, MCAK, is critical to microtubule end recognition. Open Biology. 6(10). 160223–160223. 13 indexed citations
5.
Roques, Magali, Richard J. Wall, Alexander Douglass, et al.. (2015). Plasmodium P-Type Cyclin CYC3 Modulates Endomitotic Growth during Oocyst Development in Mosquitoes. PLoS Pathogens. 11(11). e1005273–e1005273. 45 indexed citations
6.
Gadelha, Catarina, et al.. (2015). Architecture of a Host–Parasite Interface: Complex Targeting Mechanisms Revealed Through Proteomics. Molecular & Cellular Proteomics. 14(7). 1911–1926. 43 indexed citations
7.
Cross, George, Hee‐Sook Kim, & Bill Wickstead. (2014). Capturing the variant surface glycoprotein repertoire (the VSGnome) of Trypanosoma brucei Lister 427. Molecular and Biochemical Parasitology. 195(1). 59–73. 134 indexed citations
8.
Guttery, David S., Benoit Poulin, David Ferguson, et al.. (2012). A Unique Protein Phosphatase with Kelch-Like Domains (PPKL) in Plasmodium Modulates Ookinete Differentiation, Motility and Invasion. PLoS Pathogens. 8(9). e1002948–e1002948. 63 indexed citations
9.
Sunter, Jack Daniel, Bill Wickstead, Keith Gull, & Mark Carrington. (2012). A New Generation of T7 RNA Polymerase-Independent Inducible Expression Plasmids for Trypanosoma brucei. PLoS ONE. 7(4). e35167–e35167. 29 indexed citations
10.
Kelly, Steven, Bill Wickstead, Philip K. Maini, & Keith Gull. (2011). Ab Initio Identification of Novel Regulatory Elements in the Genome of Trypanosoma brucei by Bayesian Inference on Sequence Segmentation. PLoS ONE. 6(10). e25666–e25666. 5 indexed citations
11.
Wickstead, Bill, et al.. (2010). The Expanded Kinesin-13 Repertoire of Trypanosomes Contains Only One Mitotic Kinesin Indicating Multiple Extra-Nuclear Roles. PLoS ONE. 5(11). e15020–e15020. 30 indexed citations
12.
Wickstead, Bill & Keith Gull. (2007). Dyneins Across Eukaryotes: A Comparative Genomic Analysis. Traffic. 8(12). 1708–1721. 199 indexed citations
13.
Kelly, Steven, Laurence Lecordier, Bill Wickstead, et al.. (2007). Diversification of Function by Different Isoforms of Conventionally Shared RNA Polymerase Subunits. Molecular Biology of the Cell. 18(4). 1293–1301. 29 indexed citations
14.
Gadelha, Catarina, Bill Wickstead, & Keith Gull. (2007). Flagellar and ciliary beating in trypanosome motility. Cell Motility and the Cytoskeleton. 64(8). 629–643. 59 indexed citations
15.
Wickstead, Bill & Keith Gull. (2006). A “Holistic” Kinesin Phylogeny Reveals New Kinesin Families and Predicts Protein Functions. Molecular Biology of the Cell. 17(4). 1734–1743. 131 indexed citations
16.
Wickstead, Bill, Klaus Ersfeld, & Keith Gull. (2004). The Small Chromosomes of Trypanosoma brucei Involved in Antigenic Variation Are Constructed Around Repetitive Palindromes. Genome Research. 14(6). 1014–1024. 83 indexed citations
17.
Alsford, Sam, Bill Wickstead, Klaus Ersfeld, & Keith Gull. (2001). Diversity and dynamics of the minichromosomal karyotype in Trypanosoma brucei. Molecular and Biochemical Parasitology. 113(1). 79–88. 25 indexed citations
18.
Wickstead, Bill, et al.. (1999). Sodium Ions in Ordered Environments in Biological Systems: Analysis of 23Na NMR Spectra. Journal of Magnetic Resonance. 140(2). 351–362. 13 indexed citations
19.
Taylor, Richard, et al.. (1998). Role of a BRCT domain in the interaction of DNA ligase III-α with the DNA repair protein XRCC1. Current Biology. 8(15). 877–880. 85 indexed citations
20.
Wickstead, Bill, Stuart M. Grieve, & Stephen Wimperis. (1998). 17O NMR of water in ordered environments. Biophysical Chemistry. 73(1-2). 129–136. 4 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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