Georgios C. Papadopoulos
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Endocrine and Autonomic Systems top 2%
- Social Psychology top 5%
- Co-authors
- John G. ParnavelasRuud M. BuijsH. MichaloudiA.N. KaramanlidisJ. AntonopoulosA. DinopoulosDaniel PoulainNikolaos Matsokis
- Topics
- Neuroscience and Neuropharmacology Research (19 papers)Neuropeptides and Animal Physiology (12 papers)Receptor Mechanisms and Signaling (11 papers)
- Cited by
- Cellular and Molecular NeuroscienceDevelopmental NeuroscienceEndocrine and Autonomic Systems
- Partner nations
- GreeceUnited KingdomNetherlands
In The Last Decade
Georgios C. Papadopoulos
68 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 125
- Cellular and Molecular Neuroscience 810
- Molecular Biology 468
- Cognitive Neuroscience 325
- Endocrine and Autonomic Systems 254
- Social Psychology 223
Countries citing papers authored by Georgios C. Papadopoulos
This map shows the geographic impact of Georgios C. Papadopoulos'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 Georgios C. Papadopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgios C. Papadopoulos more than expected).
Fields of papers citing papers by Georgios C. Papadopoulos
This network shows the impact of papers produced by Georgios C. Papadopoulos. 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 Georgios C. Papadopoulos. The network helps show where Georgios C. Papadopoulos may publish in the future.
Co-authorship network of co-authors of Georgios C. Papadopoulos
This figure shows the co-authorship network connecting the top 25 collaborators of Georgios C. Papadopoulos. A scholar is included among the top collaborators of Georgios C. Papadopoulos 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 Georgios C. Papadopoulos. Georgios C. Papadopoulos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 21 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 22 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 30 | |
| 13 | 81 | |
| 14 | 7 | |
| 15 | 17 | |
| 16 | 7 | |
| 17 | 121 | |
| 18 | 36 | |
| 19 | 12 | |
| 20 | 38 |
About Georgios C. Papadopoulos
Georgios C. Papadopoulos is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Endocrine and Autonomic Systems, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Neuropeptides and Animal Physiology (12 papers) and Receptor Mechanisms and Signaling (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (810 citations), Developmental Neuroscience (158 citations) and Endocrine and Autonomic Systems (254 citations). Georgios C. Papadopoulos has collaborated with scholars based in Greece, United Kingdom and Netherlands. Frequent co-authors include John G. Parnavelas, Ruud M. Buijs, H. Michaloudi, A.N. Karamanlidis, J. Antonopoulos, A. Dinopoulos, Daniel Poulain, Nikolaos Matsokis, Ioannis Grivas and M.E. Cavanagh. Their work appears in journals such as Trends in Neurosciences, The Journal of Comparative Neurology and Brain 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.