Robert O. Sayers
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
Papers in
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- Cell death mechanisms and regulation 5
- Glycosylation and Glycoproteins Research 1
- Machine Learning in Bioinformatics 1
- Biochemical and Molecular Research 1
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- interferon and immune responses 1
- Co-authors
- Kevin J. Tomaselli (4 shared papers)Anu N. Srinivasan (1 shared paper)Angela Wong (1 shared paper)Kevin A. Roth (1 shared paper)Lawrence C. Fritz (1 shared paper)Kenneth S. Shindler (1 shared paper)Vincent J. Kalish (2 shared papers)Julia E. Herrmann (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (3 papers)Journal of Medicinal Chemistry (1 paper)Cell Death and Differentiation (1 paper)PLoS ONE (1 paper)Drug Development Research (1 paper)
- Partner nations
- SwitzerlandUnited StatesSpain
In The Last Decade
Robert O. Sayers
7 papers receiving 474 citations
Peers
Comparison fields: 5 of 77
- Developmental Neuroscience 43
- Cellular and Molecular Neuroscience 87
- Molecular Biology 321
- Cell Biology 60
- Immunology 61
Countries citing papers authored by Robert O. Sayers
This map shows the geographic impact of Robert O. Sayers'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 Robert O. Sayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert O. Sayers more than expected).
Fields of papers citing papers by Robert O. Sayers
This network shows the impact of papers produced by Robert O. Sayers. 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 Robert O. Sayers. The network helps show where Robert O. Sayers may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert O. Sayers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 348 | |
| 2 | 2005 | 83 | |
| 3 | 2001 | 17 | |
| 4 | 2003 | 16 | |
| 5 | 2004 | 16 | |
| 6 | 2005 | 12 | |
| 7 | 2020 | 9 |
About Robert O. Sayers
Robert O. Sayers is a scholar working on Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine, Epidemiology and Computational Theory and Mathematics, having authored 7 papers that have together received 501 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Cardiac electrophysiology and arrhythmias (2 papers), Autophagy in Disease and Therapy (1 paper), Glycosylation and Glycoproteins Research (1 paper), interferon and immune responses (1 paper), Machine Learning in Bioinformatics (1 paper), Biochemical and Molecular Research (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Developmental Neuroscience (43 citations), Cellular and Molecular Neuroscience (87 citations), Molecular Biology (321 citations), Cell Biology (60 citations) and Immunology (61 citations). Robert O. Sayers has collaborated with scholars based in Switzerland, United States and Spain. Frequent co-authors include Kevin J. Tomaselli, Anu N. Srinivasan, Angela Wong, Kevin A. Roth, Lawrence C. Fritz, Kenneth S. Shindler, Vincent J. Kalish, Julia E. Herrmann, Brett R. Ullman and Joseph Wu. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Cell Death and Differentiation, PLoS ONE and Drug Development Research.
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.