James Scott-Brown

5.2k citations
11 papers · 194 · h-index 6

Impact in

    • Gene Regulatory Network Analysis
    • CRISPR and Genetic Engineering
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Microbial Metabolic Engineering and Bioproduction
    • Bioinformatics and Genomic Networks

Papers in

    • Bioinformatics and Genomic Networks 5
    • Gene Regulatory Network Analysis 5
    • Microbial Metabolic Engineering and Bioproduction 4
    • RNA and protein synthesis mechanisms 3
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Data Visualization and Analytics 3

James Scott-Brown

10 papers receiving 190 citations

Peers

James Scott-Brown
Comparison fields: 5 of 73
  • Biophysics 17
  • Molecular Biology 153
  • Information Systems and Management 13
  • Computational Theory and Mathematics 27
  • Structural Biology 1
Replace Hema Bye‐A‐Jee with:
Hema Bye‐A‐Jee United Kingdom
Maja Rey Germany
Maria Livia Famiglietti Switzerland
John A. P. Sekar United States
Yukako Tohsato Japan
Vladimir Rynkov United States
Daniel J. Cooper United States
Vakil Takhaveev Switzerland
Ulrike Wittig Germany
Meik Bittkowski Germany
James Scott-Brown relative to Hema Bye‐A‐Jee United Kingdom Hema Bye‐A‐Jee's profile →
Citations per field
00.5×2.8×
Hema Bye‐A‐Jee · 1×
Citations per year

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-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.

Border = papers with James Scott-Brown Line = papers co-authored together James Scott-Brown links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2018108
2 202037
3 202016
4 202310
5 202110
6 20225
7 20213
8 20212
9 20202
10 20161
11 20190

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 194 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), RNA and protein synthesis mechanisms (3 papers), Data Visualization and Analytics (3 papers), Cell Image Analysis Techniques (2 papers), Scientific Computing and Data Management (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Biophysics (17 citations), Molecular Biology (153 citations), Information Systems and Management (13 citations), Computational Theory and Mathematics (27 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 Melis Kayikci, Tilman Flock, AJ Venkatakrishnan, Charles N. J. Ravarani, M. Madan Babu, Thomas E. Gorochowski, Jacob Beal, Chris J. Myers, Göksel Mısırlı and Prashant Vaidyanathan. 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, Nature Structural & Molecular Biology and Frontiers in Bioengineering and Biotechnology.

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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