Layne T. Watson
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Biomedical Engineering
- Mechanical Engineering
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- C. Y. WangJohn J. TysonWilliam H. MasonRaphael T. HaftkaBernard GrossmanNaren RamakrishnanLiqing ZhangChuck Baker
- Topics
- Gene Regulatory Network Analysis (21 papers)Bioinformatics and Genomic Networks (12 papers)Microbial Metabolic Engineering and Bioproduction (11 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Chemical PhysicsBioinformatics
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Layne T. Watson
58 papers receiving 823 citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 278
- Computational Theory and Mathematics 129
- Biomedical Engineering 110
- Mechanical Engineering 99
- Statistics, Probability and Uncertainty 96
Countries citing papers authored by Layne T. Watson
This map shows the geographic impact of Layne T. Watson'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 Layne T. Watson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Layne T. Watson more than expected).
Fields of papers citing papers by Layne T. Watson
This network shows the impact of papers produced by Layne T. Watson. 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 Layne T. Watson. The network helps show where Layne T. Watson may publish in the future.
Co-authorship network of co-authors of Layne T. Watson
This figure shows the co-authorship network connecting the top 25 collaborators of Layne T. Watson. A scholar is included among the top collaborators of Layne T. Watson 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 Layne T. Watson. Layne T. Watson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 10 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | Stochastic Simulation Algorithms for Chemical Reactions. | 4 |
| 16 | 1 | |
| 17 | 22 | |
| 18 | 2 | |
| 19 | Unification of Problem Solving Environment Implementation Layers with XML | 2 |
| 20 | 14 |
About Layne T. Watson
Layne T. Watson is a scholar working on Statistics, Probability and Uncertainty, Architecture and Computational Theory and Mathematics, having authored 59 papers that have together received 867 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (21 papers), Bioinformatics and Genomic Networks (12 papers) and Microbial Metabolic Engineering and Bioproduction (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (96 citations), Modeling and Simulation (52 citations) and Numerical Analysis (44 citations). Layne T. Watson has collaborated with scholars based in United States, India and Italy. Frequent co-authors include C. Y. Wang, John J. Tyson, William H. Mason, Raphael T. Haftka, Bernard Grossman, Naren Ramakrishnan, Liqing Zhang, Chuck Baker, Anthony Giunta and Clifford A. Shaffer. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Bioinformatics.
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.