R. Gábriel
Impact in
-
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neuropeptides and Animal Physiology 42
- Neuroscience and Neuropharmacology Research 32
- Photoreceptor and optogenetics research 16
- Neurology 12
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Co-authors
- Paul WitkovskyDóra ReglődiAndrea TamásP. KissTamás AtlaszKrisztina SzabadfiViktória DénesCharles Straznicky
- Journals
- Journal of Molecular Neuroscience (6 papers)International Journal of Molecular Sciences (6 papers)Annals of the New York Academy of Sciences (5 papers)Neurotoxicity Research (5 papers)Cell and Tissue Research (4 papers)
- Partner nations
- HungaryUnited StatesFrance
In The Last Decade
R. Gábriel
124 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 1.4k
- Neurology 226
- Ophthalmology 246
- Endocrine and Autonomic Systems 167
- Molecular Biology 1.4k
Countries citing papers authored by R. Gábriel
This map shows the geographic impact of R. Gábriel'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 R. Gábriel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Gábriel more than expected).
Fields of papers citing papers by R. Gábriel
This network shows the impact of papers produced by R. Gábriel. 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 R. Gábriel. The network helps show where R. Gábriel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R. Gábriel, 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 | 2024 | 6 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 1 | |
| 4 | 2020 | 9 | |
| 5 | 2020 | 3 | |
| 6 | 2013 | 55 | |
| 7 | 2009 | 19 | |
| 8 | 2008 | 48 | |
| 9 | 2006 | 18 | |
| 10 | 2006 | 8 | |
| 11 | 2005 | 42 | |
| 12 | 2004 | 12 | |
| 13 | 2004 | 52 | |
| 14 | 2004 | 3 | |
| 15 | 2001 | 9 | |
| 16 | 2000 | 24 | |
| 17 | 1993 | 12 | |
| 18 | 1992 | 39 | |
| 19 | High density of neuropeptide Y-innervation in the myenteric plexus of the turtle midgut. An immunocytochemical study. | 1990 | 1 |
| 20 | 1989 | 3 |
About R. Gábriel
R. Gábriel is a scholar working on Cellular and Molecular Neuroscience, Neurology, Ophthalmology, Molecular Biology and Obstetrics and Gynecology, having authored 124 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (42 papers), Retinal Development and Disorders (33 papers), Receptor Mechanisms and Signaling (33 papers), Neuroscience and Neuropharmacology Research (32 papers), Photoreceptor and optogenetics research (16 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers), Retinal Diseases and Treatments (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Neurology (226 citations), Ophthalmology (246 citations), Endocrine and Autonomic Systems (167 citations) and Molecular Biology (1.4k citations). R. Gábriel has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include Paul Witkovsky, Dóra Reglődi, Andrea Tamás, P. Kiss, Tamás Atlasz, Krisztina Szabadfi, Viktória Dénes, Charles Straznicky, Gábor K. Tóth and Abram Akopian. Their work appears in journals such as Journal of Molecular Neuroscience, International Journal of Molecular Sciences, Annals of the New York Academy of Sciences, Neurotoxicity Research and Cell and Tissue 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.