James Scott-Brown
Impact in
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- Gene Regulatory Network Analysis
- CRISPR and Genetic Engineering
- Microbial Metabolic Engineering and Bioproduction
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
Papers in
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- Bioinformatics and Genomic Networks 5
- Gene Regulatory Network Analysis 5
- Microbial Metabolic Engineering and Bioproduction 4
- RNA and protein synthesis mechanisms 3
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- Data Visualization and Analytics 3
- Co-authors
- Tilman Flock (1 shared paper)Melis Kayikci (1 shared paper)M. Madan Babu (1 shared paper)Charles N. J. Ravarani (1 shared paper)AJ Venkatakrishnan (1 shared paper)Prashant Vaidyanathan (4 shared papers)Thomas E. Gorochowski (5 shared papers)Göksel Mısırlı (4 shared papers)
- Journals
- Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (3 papers)ACS Synthetic Biology (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Future Generation Computer Systems (1 paper)
- Partner nations
- United KingdomUnited StatesSaudi Arabia
In The Last Decade
James Scott-Brown
10 papers receiving 208 citations
Peers
Comparison fields: 5 of 75
- Biophysics 17
- Molecular Biology 159
- Information Systems and Management 13
- Computational Theory and Mathematics 26
- Structural Biology 1
Countries citing papers authored by James Scott-Brown
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
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-authors
The 25 scholars most cited alongside James Scott-Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 113 | |
| 2 | 2020 | 40 | |
| 3 | 2020 | 18 | |
| 4 | 2021 | 13 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 2 | |
| 9 | 2016 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 2019 | 0 |
About James Scott-Brown
James Scott-Brown is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Information Systems and Management, Biophysics and Statistical and Nonlinear Physics, having authored 11 papers that have together received 212 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene Regulatory Network Analysis (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Data Visualization and Analytics (3 papers), RNA and protein synthesis mechanisms (3 papers), Scientific Computing and Data Management (2 papers), Cell Image Analysis Techniques (2 papers) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Biophysics (17 citations), Molecular Biology (159 citations), Information Systems and Management (13 citations), Computational Theory and Mathematics (26 citations) and Structural Biology (1 citation). James Scott-Brown has collaborated with scholars based in United Kingdom, United States and Saudi Arabia. Frequent co-authors include Tilman Flock, Melis Kayikci, M. Madan Babu, Charles N. J. Ravarani, AJ Venkatakrishnan, Prashant Vaidyanathan, Thomas E. Gorochowski, Göksel Mısırlı, Chris J. Myers and Jacob Beal. Their work appears in journals such as Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, ACS Synthetic Biology, IEEE Transactions on Visualization and Computer Graphics, Frontiers in Bioengineering and Biotechnology and Future Generation Computer Systems.
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.