Jeffrey S. Taylor
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Genetics
- Materials Chemistry
- Organic Chemistry
- Co-authors
- L.S. BeeseSean JohnsonRoger M. BurnettJeffrey W. PrichardMarylee M. KottRobert BrownDongfeng TanAnthony W. Shaw
- Topics
- Protein Structure and Dynamics (3 papers)Enzyme Structure and Function (3 papers)Bacteriophages and microbial interactions (2 papers)
- Journals
- Proceedings of the National Academy of SciencesThe EMBO JournalJournal of Medicinal Chemistry
- Partner nations
- United States
In The Last Decade
Jeffrey S. Taylor
7 papers receiving 517 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 456
- Computational Theory and Mathematics 80
- Genetics 69
- Materials Chemistry 57
- Organic Chemistry 51
Countries citing papers authored by Jeffrey S. Taylor
This map shows the geographic impact of Jeffrey S. Taylor'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 Jeffrey S. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey S. Taylor more than expected).
Fields of papers citing papers by Jeffrey S. Taylor
This network shows the impact of papers produced by Jeffrey S. Taylor. 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 Jeffrey S. Taylor. The network helps show where Jeffrey S. Taylor may publish in the future.
Co-authorship network of co-authors of Jeffrey S. Taylor
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Taylor. A scholar is included among the top collaborators of Jeffrey S. Taylor 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 Jeffrey S. Taylor. Jeffrey S. Taylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Morphoproteomic confirmation of constitutively activated mTOR, ERK, and NF-kappaB pathways in high risk neuro-blastoma, with cell cycle and protein analyte correlates. | 22 |
| 2 | 253 | |
| 3 | 108 | |
| 4 | 49 | |
| 5 | 1 | |
| 6 | 86 | |
| 7 | Computational biology: Methods in automated molecular docking with applications in structural virology and antibody-antigen recognition | 1 |
About Jeffrey S. Taylor
Jeffrey S. Taylor is a scholar working on Molecular Biology, Ecology and Cancer Research, having authored 7 papers that have together received 520 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Enzyme Structure and Function (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Molecular Biology (456 citations), Computational Theory and Mathematics (80 citations) and Virology (15 citations). Jeffrey S. Taylor has collaborated with scholars based in United States. Frequent co-authors include L.S. Beese, Sean Johnson, Roger M. Burnett, Jeffrey W. Prichard, Marylee M. Kott, Robert Brown, Dongfeng Tan, Anthony W. Shaw, Michelle Ellis-Hutchings and Robert B. Lobell. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Journal of Medicinal Chemistry.
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.