Daniel R. Webster
- Molecular Biology top 10%
- Cell Biology top 2%
- Cellular and Molecular Neuroscience
- Oncology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Gary G. BorisyJ C BulinskiGregg G. GundersenRobert W. RubinAra ArutunyanAbdul N. HamoodLuther SwiftNarine Sarvazyan
- Topics
- Microtubule and mitosis dynamics (12 papers)14-3-3 protein interactions (6 papers)Ubiquitin and proteasome pathways (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- United StatesIndia
In The Last Decade
Daniel R. Webster
26 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 777
- Cell Biology 642
- Cellular and Molecular Neuroscience 105
- Oncology 101
- Cardiology and Cardiovascular Medicine 80
Countries citing papers authored by Daniel R. Webster
This map shows the geographic impact of Daniel R. Webster'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 Daniel R. Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Webster more than expected).
Fields of papers citing papers by Daniel R. Webster
This network shows the impact of papers produced by Daniel R. Webster. 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 Daniel R. Webster. The network helps show where Daniel R. Webster may publish in the future.
Co-authorship network of co-authors of Daniel R. Webster
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Webster. A scholar is included among the top collaborators of Daniel R. Webster 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 Daniel R. Webster. Daniel R. Webster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | Selenium covalently incorporated into the polymer of contact lens case material inhibits bacterial biofilm formation | 1 |
| 3 | 34 | |
| 4 | 9 | |
| 5 | 39 | |
| 6 | 62 | |
| 7 | 41 | |
| 8 | 6 | |
| 9 | 28 | |
| 10 | 16 | |
| 11 | 61 | |
| 12 | 7 | |
| 13 | 16 | |
| 14 | 23 | |
| 15 | 17 | |
| 16 | 26 | |
| 17 | 211 | |
| 18 | 34 | |
| 19 | Biochemical And Morphological Analysis Of Cytoskeletal Proteins And Trail Secretion During Gliding Motility In The Marine Benthic Diatom, Amphora Coffeaeformis | 1 |
| 20 | 9 |
About Daniel R. Webster
Daniel R. Webster is a scholar working on Cell Biology, Molecular Biology and Periodontics, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (12 papers), 14-3-3 protein interactions (6 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Cell Biology (642 citations), Molecular Biology (777 citations) and Developmental Neuroscience (29 citations). Daniel R. Webster has collaborated with scholars based in United States and India. Frequent co-authors include Gary G. Borisy, J C Bulinski, Gregg G. Gundersen, Robert W. Rubin, Ara Arutunyan, Abdul N. Hamood, Luther Swift, Narine Sarvazyan, Ted W. Reid and Keith E. Cooksey. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.