James Scott-Brown

5.2k total citations
11 papers, 194 citations indexed

About

James Scott-Brown is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Information Systems and Management. According to data from OpenAlex, James Scott-Brown has authored 11 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems and Management. Recurrent topics in James Scott-Brown's work include Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). James Scott-Brown is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). James Scott-Brown collaborates with scholars based in United Kingdom, United States and Saudi Arabia. James Scott-Brown's co-authors include M. Madan Babu, Charles N. J. Ravarani, AJ Venkatakrishnan, Melis Kayikci, Tilman Flock, Prashant Vaidyanathan, Thomas E. Gorochowski, Jacob Beal, Göksel Mısırlı and Chris J. Myers and has published in prestigious journals such as Nature Structural & Molecular Biology, Future Generation Computer Systems and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

James Scott-Brown

10 papers receiving 190 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Scott-Brown United Kingdom 6 153 27 20 17 13 11 194
Yukako Tohsato Japan 9 203 1.3× 24 0.9× 6 0.3× 23 1.4× 6 0.5× 25 252
John A. P. Sekar United States 6 213 1.4× 31 1.1× 4 0.2× 16 0.9× 6 0.5× 8 261
Vakil Takhaveev Switzerland 9 269 1.8× 13 0.5× 15 0.8× 8 0.5× 3 0.2× 13 333
Maria Livia Famiglietti Switzerland 5 291 1.9× 25 0.9× 10 0.5× 6 0.4× 9 0.7× 5 354
Hema Bye‐A‐Jee United Kingdom 5 251 1.6× 17 0.6× 12 0.6× 6 0.4× 7 0.5× 7 288
Timothy Sheils United States 9 222 1.5× 130 4.8× 19 0.9× 8 0.5× 3 0.2× 12 313
Erhan Kenar Germany 6 186 1.2× 16 0.6× 5 0.3× 5 0.3× 18 1.4× 10 260
Anne Niknejad Switzerland 10 423 2.8× 37 1.4× 9 0.5× 16 0.9× 6 0.5× 17 484
Andy Jenkinson United Kingdom 6 196 1.3× 29 1.1× 10 0.5× 5 0.3× 40 3.1× 8 244
Erik Brauner United States 4 128 0.8× 24 0.9× 10 0.5× 112 6.6× 12 0.9× 5 213

Countries citing papers authored by James Scott-Brown

Since Specialization
Citations

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

Fields of papers citing papers by James Scott-Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Scott-Brown

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

All Works

11 of 11 papers shown
1.
Scott-Brown, James, Prashant Vaidyanathan, Gonzalo Vidal, et al.. (2023). Synthetic biology open language (SBOL) version 3.1.0. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 20(1). 10 indexed citations
2.
Scott-Brown, James, et al.. (2022). Understanding Barriers to Network Exploration With Visualization: A Report from the Trenches. IEEE Transactions on Visualization and Computer Graphics. 29(1). 1–11. 5 indexed citations
3.
Clark, C., James Scott-Brown, & Thomas E. Gorochowski. (2021). paraSBOLv: a foundation for standard-compliant genetic design visualization tools. PubMed. 6(1). ysab022–ysab022. 2 indexed citations
4.
McLaughlin, J. A., James Scott-Brown, Prashant Vaidyanathan, et al.. (2021). Synthetic biology open language visual (SBOL visual) version 3.0. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 18(3). 10 indexed citations
5.
McLaughlin, James Alastair, et al.. (2021). VisBOL2—Improving Web-Based Visualization for Synthetic Biology Designs. ACS Synthetic Biology. 10(8). 2111–2115. 3 indexed citations
6.
Kulkarni, Vishwesh, James Alastair McLaughlin, Prashant Vaidyanathan, et al.. (2020). Synthetic biology open language (SBOL) version 3.0.0. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 17(2-3). 16 indexed citations
7.
McLaughlin, James Alastair, Jacob Beal, Göksel Mısırlı, et al.. (2020). The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering. Frontiers in Bioengineering and Biotechnology. 8. 1009–1009. 37 indexed citations
8.
Scott-Brown, James, et al.. (2020). Open Visualization Environment (OVE): A web framework for scalable rendering of data visualizations. Future Generation Computer Systems. 112. 785–799. 2 indexed citations
9.
10.
Kayikci, Melis, AJ Venkatakrishnan, James Scott-Brown, et al.. (2018). Visualization and analysis of non-covalent contacts using the Protein Contacts Atlas. Nature Structural & Molecular Biology. 25(2). 185–194. 108 indexed citations
11.
Scott-Brown, James & Antonis Papachristodoulou. (2016). sbml-diff: A Tool for Visually Comparing SBML Models in Synthetic Biology. ACS Synthetic Biology. 6(7). 1225–1229. 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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