Rebecca Thomson

950 total citations · 1 hit paper
10 papers, 729 citations indexed

About

Rebecca Thomson is a scholar working on Molecular Biology, Surgery and Computational Theory and Mathematics. According to data from OpenAlex, Rebecca Thomson has authored 10 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Computational Theory and Mathematics. Recurrent topics in Rebecca Thomson's work include Machine Learning in Bioinformatics (6 papers), Protein Structure and Dynamics (3 papers) and Cholesterol and Lipid Metabolism (3 papers). Rebecca Thomson is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), Protein Structure and Dynamics (3 papers) and Cholesterol and Lipid Metabolism (3 papers). Rebecca Thomson collaborates with scholars based in United Kingdom and Canada. Rebecca Thomson's co-authors include P. McNeil, Zhengrong Yang, Zheng Rong Yang, Charlie Hodgman, Robert P. Cook, Jonathan R. Dry, D. C. Edwards, Ajit Narayanan, Roger Pickup and Jonathan Porter and has published in prestigious journals such as Bioinformatics, Neural Networks and Journal of Microbiological Methods.

In The Last Decade

Rebecca Thomson

10 papers receiving 705 citations

Hit Papers

RONN: the bio-basis function neural network technique app... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rebecca Thomson United Kingdom 7 568 122 57 50 46 10 729
László Kaján Hungary 10 663 1.2× 128 1.0× 46 0.8× 32 0.6× 97 2.1× 12 913
P. McNeil United Kingdom 3 460 0.8× 126 1.0× 23 0.4× 38 0.8× 41 0.9× 4 558
W.R. Taylor United Kingdom 11 567 1.0× 93 0.8× 40 0.7× 26 0.5× 72 1.6× 19 671
Arun S. Konagurthu Australia 10 700 1.2× 237 1.9× 62 1.1× 29 0.6× 76 1.7× 33 881
C. Lachaize Switzerland 4 540 1.0× 45 0.4× 29 0.5× 48 1.0× 64 1.4× 4 699
Richard A. George United Kingdom 13 725 1.3× 110 0.9× 76 1.3× 28 0.6× 95 2.1× 17 875
Matthew Bashton United Kingdom 13 853 1.5× 157 1.3× 105 1.8× 40 0.8× 85 1.8× 26 1.1k
Elisa Cilia Belgium 9 446 0.8× 86 0.7× 64 1.1× 35 0.7× 81 1.8× 18 553
Xuechu Zhao United States 12 781 1.4× 67 0.5× 158 2.8× 58 1.2× 35 0.8× 21 1.2k
C.C. Huang United States 8 593 1.0× 107 0.9× 89 1.6× 29 0.6× 89 1.9× 13 832

Countries citing papers authored by Rebecca Thomson

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Thomson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Thomson

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

All Works

10 of 10 papers shown
1.
Yang, Zheng Rong, Jonathan R. Dry, Rebecca Thomson, & Charlie Hodgman. (2006). A bio-basis function neural network for protein peptide cleavage activity characterisation. Neural Networks. 19(4). 401–407. 6 indexed citations
2.
Yang, Zheng Rong & Rebecca Thomson. (2005). Bio-Basis Function Neural Network for Prediction of Protease Cleavage Sites in Proteins. IEEE Transactions on Neural Networks. 16(1). 263–274. 61 indexed citations
3.
Yang, Zhengrong, et al.. (2005). RONN: the bio-basis function neural network technique applied to the detection of natively disordered regions in proteins. Computer applications in the biosciences. 21(16). 3369–3376. 525 indexed citations breakdown →
4.
Thomson, Rebecca & Zheng Rong Yang. (2004). A novel basis function neural network. 1. 441–446. 5 indexed citations
5.
6.
Thomson, Rebecca, et al.. (2003). Characterizing proteolytic cleavage site activity using bio-basis function neural networks. Bioinformatics. 19(14). 1741–1747. 69 indexed citations
7.
Thomson, Rebecca, Roger Pickup, & Jonathan Porter. (2001). A novel method for the isolation of motile bacteria using gradient culture systems. Journal of Microbiological Methods. 46(2). 141–147. 3 indexed citations
8.
Cook, Robert P., et al.. (1955). Cholesterol metabolism. 6. The fate of ingested cholesterol in the intact rat. Biochemical Journal. 61(4). 676–681. 10 indexed citations
9.
Cook, Robert P. & Rebecca Thomson. (1951). THE ABSORPTION OF FAT AND OF CHOLESTEROL IN THE RAT, GUINEA‐PIG AND RABBIT. Quarterly Journal of Experimental Physiology and Cognate Medical Sciences. 36(2). 61–74. 18 indexed citations
10.
Cook, Robert P. & Rebecca Thomson. (1951). Cholesterol metabolism. 3. Cholesterol metabolism in the guinea pig and rabbit. Biochemical Journal. 49(1). 72–77. 16 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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