Michelle S Scott

499 total citations
8 papers, 356 citations indexed

About

Michelle S Scott is a scholar working on Molecular Biology, Computational Theory and Mathematics and Surgery. According to data from OpenAlex, Michelle S Scott has authored 8 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 1 paper in Surgery. Recurrent topics in Michelle S Scott's work include Bioinformatics and Genomic Networks (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Computational Drug Discovery Methods (3 papers). Michelle S Scott is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Computational Drug Discovery Methods (3 papers). Michelle S Scott collaborates with scholars based in United Kingdom and Canada. Michelle S Scott's co-authors include Geoffrey J. Barton, Mark D. McDowall, David Y. Thomas, Theodore J. Perkins, François Pépin, Michael Hallett, James Selfe, Sarah Keir, Peter Sandercock and Jill Alexander and has published in prestigious journals such as Nucleic Acids Research, BMC Bioinformatics and Molecular & Cellular Proteomics.

In The Last Decade

Michelle S Scott

7 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle S Scott United Kingdom	6	298	77	21	20	17	8	356
Máté Szalay-Bekő Hungary	5	252 0.8×	86 1.1×	16 0.8×	17 0.8×	10 0.6×	7	325
Sheng‐An Lee Taiwan	8	271 0.9×	60 0.8×	51 2.4×	17 0.8×	21 1.2×	10	319
Jianglei Chen United States	6	213 0.7×	43 0.6×	24 1.1×	11 0.6×	6 0.4×	10	310
Vladimir Rynkov United States	3	202 0.7×	34 0.4×	12 0.6×	16 0.8×	13 0.8×	3	256
Xi Jiang China	9	240 0.8×	85 1.1×	17 0.8×	7 0.3×	9 0.5×	20	317
Jonathan Mélius Netherlands	3	218 0.7×	27 0.4×	15 0.7×	17 0.8×	22 1.3×	3	321
Guray Kuzu United States	12	505 1.7×	56 0.7×	24 1.1×	20 1.0×	26 1.5×	17	614
Omer Basha Israel	10	283 0.9×	30 0.4×	37 1.8×	10 0.5×	19 1.1×	12	345
Matthew J. Miller United States	9	208 0.7×	41 0.5×	66 3.1×	15 0.8×	11 0.6×	13	325
Shirley Hui Canada	7	203 0.7×	23 0.3×	40 1.9×	7 0.3×	18 1.1×	7	260

Countries citing papers authored by Michelle S Scott

Since Specialization

Citations

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

Fields of papers citing papers by Michelle S Scott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle S Scott. 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 Michelle S Scott. The network helps show where Michelle S Scott may publish in the future.

Co-authorship network of co-authors of Michelle S Scott

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

All Works

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8 of 8 papers shown

1.

Leblanc, Sébastien, Marie A. Brunet, Jean‐François Jacques, et al.. (2022). Newfound Coding Potential of Transcripts Unveils Missing Members of Human Protein Communities. Genomics Proteomics & Bioinformatics. 21(3). 515–534. 5 indexed citations

2.

Elela, Sherif Abou, et al.. (2022). SAPFIR: A webserver for the identification of alternative protein features. BMC Bioinformatics. 23(1). 250–250.

3.

Alexander, Jill, et al.. (2015). An exploratory study into the effects of a 20 minute crushed ice application on knee joint position sense during a small knee bend. Physical Therapy in Sport. 18. 21–26. 9 indexed citations

4.

Kerr, Enda, et al.. (2010). A telephone hotline for transient ischaemic attack and stroke: prospective audit of a model to improve rapid access to specialist stroke care. BMJ. 341(jul02 1). c3265–c3265. 11 indexed citations

5.

McDowall, Mark D., Michelle S Scott, & Geoffrey J. Barton. (2010). Human protein-protein interaction prediction. BMC Bioinformatics. 11(S10). 6 indexed citations

6.

McDowall, Mark D., Michelle S Scott, & Geoffrey J. Barton. (2008). PIPs: human protein-protein interaction prediction database. Nucleic Acids Research. 37(Database). D651–D656. 173 indexed citations

7.

Scott, Michelle S & Geoffrey J. Barton. (2007). Probabilistic prediction and ranking of human protein-protein interactions. BMC Bioinformatics. 8(1). 239–239. 98 indexed citations

8.

Scott, Michelle S, et al.. (2005). Identifying Regulatory Subnetworks for a Set of Genes. Molecular & Cellular Proteomics. 4(5). 683–692. 54 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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