James Shuttleworth

2.2k total citations · 1 hit paper
38 papers, 1.7k citations indexed

About

James Shuttleworth is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, James Shuttleworth has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in James Shuttleworth's work include Microtubule and mitosis dynamics (5 papers), Ubiquitin and proteasome pathways (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). James Shuttleworth is often cited by papers focused on Microtubule and mitosis dynamics (5 papers), Ubiquitin and proteasome pathways (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). James Shuttleworth collaborates with scholars based in United Kingdom, United States and India. James Shuttleworth's co-authors include J. Wade Harper, Michael J. Solomon, Alan Colman, Randy Y.C. Poon, J P Adamczewski, K. Yamashita, Tim Hunt, Thierry Lorca, Jean‐Claude Labbé and Didier Fesquet and has published in prestigious journals such as Genes & Development, The EMBO Journal and Infection and Immunity.

In The Last Decade

James Shuttleworth

38 papers receiving 1.7k citations

Hit Papers

The cdc2-related protein p40MO15 is the catalytic subunit... 1993 2026 2004 2015 1993 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Shuttleworth United Kingdom 15 1.2k 632 624 141 125 38 1.7k
Victor Neel United States 27 1.1k 0.9× 652 1.0× 180 0.3× 115 0.8× 25 0.2× 55 2.6k
Yan Mei China 25 999 0.8× 302 0.5× 118 0.2× 71 0.5× 34 0.3× 88 2.1k
Grégoire Pau France 11 904 0.7× 131 0.2× 106 0.2× 37 0.3× 27 0.2× 19 1.5k
Frances M. Davis United States 26 1.2k 1.0× 207 0.3× 721 1.2× 302 2.1× 162 1.3× 61 3.1k
Sebastian Haferkamp Germany 28 803 0.7× 1.2k 1.9× 155 0.2× 99 0.7× 57 0.5× 80 2.1k
Wouter Saelens Belgium 14 2.8k 2.3× 503 0.8× 101 0.2× 40 0.3× 57 0.5× 20 4.2k
Ismael A. Vergara Canada 21 759 0.6× 258 0.4× 96 0.2× 96 0.7× 17 0.1× 72 1.7k
Tamir Chandra United Kingdom 25 3.4k 2.8× 433 0.7× 212 0.3× 47 0.3× 115 0.9× 47 4.6k
Leon L. Wheeless United States 20 655 0.5× 317 0.5× 38 0.1× 71 0.5× 25 0.2× 56 1.7k
Andrew Filby United Kingdom 25 1.1k 0.9× 341 0.5× 98 0.2× 79 0.6× 105 0.8× 67 2.8k

Countries citing papers authored by James Shuttleworth

Since Specialization
Citations

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

Fields of papers citing papers by James Shuttleworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Shuttleworth

This figure shows the co-authorship network connecting the top 25 collaborators of James Shuttleworth. A scholar is included among the top collaborators of James Shuttleworth 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 James Shuttleworth. James Shuttleworth 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
2.
Deshpande, Sumukh, et al.. (2019). PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets. Computers in Biology and Medicine. 105. 169–181. 29 indexed citations
3.
Shuttleworth, James, et al.. (2019). Assessing the perceived realism of agent grouping dynamics for adaptation and simulation. Entertainment Computing. 32. 100323–100323. 7 indexed citations
4.
Stathopoulos, Panagiotis, et al.. (2016). Head and neck nonmelanoma cutaneous malignancy treatment in a skin cancer referral center. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 123(2). 183–187. 1 indexed citations
5.
Palade, Vasile, et al.. (2016). Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing. Brain Informatics. 3(4). 249–267. 86 indexed citations
6.
Stathopoulos, Panagiotis, et al.. (2016). Predictive factors of hospital stay in patients with odontogenic maxillofacial infections: the role of C-reactive protein. British Journal of Oral and Maxillofacial Surgery. 55(4). 367–370. 38 indexed citations
7.
Jayne, Chrisina, et al.. (2015). Automatic detection of microaneurysms in colour fundus images for diabetic retinopathy screening. Neural Computing and Applications. 27(5). 1149–1164. 48 indexed citations
8.
Kishore, J. K., et al.. (2014). Quality Metrics Evaluation of Hyperspectral Images. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XL-8. 1221–1226. 14 indexed citations
9.
Kishore, J. K., et al.. (2014). Performance evaluation for data reduction techniques of hyperspectral images. Pure (Coventry University). 64–68. 1 indexed citations
10.
Shuttleworth, James, Rafael Rosolem, Marek Zreda, & Trenton E. Franz. (2013). The COsmic-ray Soil Moisture Interaction Code (COSMIC) for use in data assimilation. 5 indexed citations
11.
Shuttleworth, James, Rafael Rosolem, Marek Zreda, & Trenton E. Franz. (2013). The COsmic-ray Soil Moisture Interaction Code (COSMIC) for use in data assimilation. Hydrology and earth system sciences. 17(8). 3205–3217. 72 indexed citations
12.
Gaura, Elena, et al.. (2009). Wireless Sensor Networks for Aerospace Applications- Thermal Monitoring for a Gas Turbine Engine. Coventry University Open Collections (Coventry university). 1(2009). 507–512. 8 indexed citations
13.
Brusey, James, et al.. (2009). FieldMAP: A Spatiotemporal Field Monitoring Application Prototyping Framework. IEEE Sensors Journal. 9(11). 1378–1390. 5 indexed citations
14.
Shuttleworth, James, et al.. (2003). Colour texture analysis using co-occurrence matrices for classification of colon cancer images. 1134–1139. 18 indexed citations
15.
Jones, Teresa L.Z., et al.. (1994). Expression and activity of p40MO15, the catalytic subunit of cdk-activating kinase, during Xenopus oogenesis and embryogenesis.. Molecular Biology of the Cell. 5(8). 921–932. 50 indexed citations
16.
Fesquet, Didier, Jean‐Claude Labbé, Jean Derancourt, et al.. (1993). The MO15 gene encodes the catalytic subunit of a protein kinase that activates cdc2 and other cyclin-dependent kinases (CDKs) through phosphorylation of Thr161 and its homologues.. The EMBO Journal. 12(8). 3111–3121. 349 indexed citations
17.
Shuttleworth, James & Alan Colman. (1988). Antisense oligonucleotide-directed cleavage of mRNA in Xenopus oocytes and eggs.. The EMBO Journal. 7(2). 427–434. 111 indexed citations
18.
Shuttleworth, James, et al.. (1987). Transcript levels and translational control of hsp70 synthesis in Xenopus oocytes.. Genes & Development. 1(5). 433–444. 37 indexed citations
19.
Shuttleworth, James, John Morser, & D. C. Burke. (1982). Control of Interferon mRNA Levels and Interferon Yields in Butyrate and 5'-Bromodeoxyuridine-treated Namalwa Cells. Journal of General Virology. 58(1). 25–35. 18 indexed citations
20.
Meager, Anthony, James Shuttleworth, M Just, Paul Boseley, & John Morser. (1982). The Effect of Hypertonic Salt on Interferon and Interferon mRNA Synthesis in Human MG63 Cells. Journal of General Virology. 59(1). 177–181. 8 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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