Tyler W. H. Backman
- Molecular Biology
- Plant Science top 10%
- Computational Theory and Mathematics top 5%
- Pharmacology top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Thomas GirkeYe CaoJay D. KeaslingJames C. CarringtonChristopher M. SullivanNoah FahlgrenScott A. GivanJason S. Cumbie
- Topics
- Microbial Natural Products and Biosynthesis (8 papers)Microbial Metabolic Engineering and Bioproduction (7 papers)Computational Drug Discovery Methods (6 papers)
- Partner nations
- United StatesDenmarkSpain
In The Last Decade
Tyler W. H. Backman
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 605
- Plant Science 210
- Computational Theory and Mathematics 188
- Pharmacology 142
- Cellular and Molecular Neuroscience 104
Countries citing papers authored by Tyler W. H. Backman
This map shows the geographic impact of Tyler W. H. Backman'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 Tyler W. H. Backman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler W. H. Backman more than expected).
Fields of papers citing papers by Tyler W. H. Backman
This network shows the impact of papers produced by Tyler W. H. Backman. 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 Tyler W. H. Backman. The network helps show where Tyler W. H. Backman may publish in the future.
Co-authorship network of co-authors of Tyler W. H. Backman
This figure shows the co-authorship network connecting the top 25 collaborators of Tyler W. H. Backman. A scholar is included among the top collaborators of Tyler W. H. Backman 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 Tyler W. H. Backman. Tyler W. H. Backman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 17 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 26 | |
| 9 | 16 | |
| 10 | 48 | |
| 11 | 3 | |
| 12 | 34 | |
| 13 | 130 | |
| 14 | 9 | |
| 15 | 47 | |
| 16 | 4 | |
| 17 | 115 | |
| 18 | 400 | |
| 19 | 101 | |
| 20 | 62 |
About Tyler W. H. Backman
Tyler W. H. Backman is a scholar working on Applied Microbiology and Biotechnology, Pharmacology and Computational Theory and Mathematics, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Computational Theory and Mathematics (188 citations), Molecular Biology (605 citations) and Pharmacology (142 citations). Tyler W. H. Backman has collaborated with scholars based in United States, Denmark and Spain. Frequent co-authors include Thomas Girke, Ye Cao, Jay D. Keasling, James C. Carrington, Christopher M. Sullivan, Noah Fahlgren, Scott A. Givan, Jason S. Cumbie, Héctor García Martín and Sourav Roy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.