Philip Szekeres
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- Neuropeptides and Animal Physiology 12
- Neuroscience and Neuropharmacology Research 4
- Physiology top 2%
- Alzheimer's disease research and treatments 5
- Physiology top 5%
- Alzheimer's disease research and treatments 5
- Neurology top 5%
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- Receptor Mechanisms and Signaling 18
- 14-3-3 protein interactions 3
- Prion Diseases and Protein Misfolding 2
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- Microtubule and mitosis dynamics 3
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- Computational Drug Discovery Methods 2
- Co-authors
- Gary B. WillarsPaul J. BrightonShelagh WilsonPaul R. MurdockNabil A. ElshourbagyAlan WiseJ. Michael EdwardsonJohn R. Traynor
- Journals
- Journal of Biological Chemistry (6 papers)Journal of Clinical Oncology (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
Philip Szekeres
30 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 107
- Endocrine and Autonomic Systems 398
- Cellular and Molecular Neuroscience 1.0k
- Physiology 130
- Physiology 630
- Neurology 162
Countries citing papers authored by Philip Szekeres
This map shows the geographic impact of Philip Szekeres'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 Philip Szekeres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Szekeres more than expected).
Fields of papers citing papers by Philip Szekeres
This network shows the impact of papers produced by Philip Szekeres. 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 Philip Szekeres. The network helps show where Philip Szekeres may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philip Szekeres, 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2016 | 15 | |
| 4 | 2014 | 199 | |
| 5 | 2013 | 95 | |
| 6 | 2008 | 31 | |
| 7 | 2006 | 88 | |
| 8 | 2006 | 9 | |
| 9 | 2004 | 206 | |
| 10 | 2004 | 16 | |
| 11 | 2004 | 54 | |
| 12 | 2003 | 85 | |
| 13 | 2003 | 43 | |
| 14 | 2003 | 440 | |
| 15 | 2001 | 186 | |
| 16 | 2000 | 50 | |
| 17 | 2000 | 226 | |
| 18 | 1999 | 17 | |
| 19 | 1998 | 28 | |
| 20 | 1998 | 38 |
About Philip Szekeres
Philip Szekeres is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology, having authored 31 papers that have together received 2.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (18 papers), Neuropeptides and Animal Physiology (12 papers), Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Microtubule and mitosis dynamics (3 papers), 14-3-3 protein interactions (3 papers), Prion Diseases and Protein Misfolding (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (398 citations), Cellular and Molecular Neuroscience (1.0k citations) and Physiology (130 citations). Philip Szekeres has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Gary B. Willars, Paul J. Brighton, Shelagh Wilson, Paul R. Murdock, Nabil A. Elshourbagy, Alan Wise, J. Michael Edwardson, John R. Traynor, Derk J. Bergsma and Jon Chambers. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Journal of Neuroscience.
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.