Hugo Geerts
- Molecular Biology top 5%
- Physiology top 1%
- Cellular and Molecular Neuroscience top 2%
- Pharmacology top 1%
- Computational Theory and Mathematics top 1%
- Co-authors
- Rony NuydensJan‐Mark GeusebroekA.W.M. SmeuldersÄthan SpirosPatrick J. RobertsR. van den BoomgaardM. De BrabanderChris Van den Haute
- Topics
- Alzheimer's disease research and treatments (33 papers)Computational Drug Discovery Methods (31 papers)Neuroscience and Neuropharmacology Research (25 papers)
- Journals
- NatureJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesBelgiumNetherlands
In The Last Decade
Hugo Geerts
134 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 160
- Molecular Biology 1.9k
- Physiology 1.3k
- Cellular and Molecular Neuroscience 928
- Pharmacology 776
- Computational Theory and Mathematics 466
Countries citing papers authored by Hugo Geerts
This map shows the geographic impact of Hugo Geerts'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 Hugo Geerts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugo Geerts more than expected).
Fields of papers citing papers by Hugo Geerts
This network shows the impact of papers produced by Hugo Geerts. 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 Hugo Geerts. The network helps show where Hugo Geerts may publish in the future.
Co-authorship network of co-authors of Hugo Geerts
This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Geerts. A scholar is included among the top collaborators of Hugo Geerts 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 Hugo Geerts. Hugo Geerts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 28 | |
| 6 | 30 | |
| 7 | 13 | |
| 8 | Not all partial dopamine D2 receptor agonists are the same in treating schizophrenia. Exploring the effects of bifeprunox and aripiprazole using a computer model of a primate striatal dopaminergic synapse | 10 |
| 9 | 6 | |
| 10 | 46 | |
| 11 | 32 | |
| 12 | 272 | |
| 13 | 315 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | Sabeluzole Potentiates the Effect of Nerve Growth Factor on Survival and Differentiation in PC12 Cells and Sympathetic Neurons. | 1 |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 11 | |
| 20 | 2 |
About Hugo Geerts
Hugo Geerts is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Computational Theory and Mathematics, having authored 141 papers that have together received 4.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (33 papers), Computational Drug Discovery Methods (31 papers) and Neuroscience and Neuropharmacology Research (25 papers). The work is most often cited by research in Biophysics (320 citations), Physiology (1.3k citations) and Cellular and Molecular Neuroscience (928 citations). Hugo Geerts has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Rony Nuydens, Jan‐Mark Geusebroek, A.W.M. Smeulders, Äthan Spiros, Patrick J. Roberts, R. van den Boomgaard, M. De Brabander, Chris Van den Haute, Kurt Spittaels and Frans W. Cornelissen. Their work appears in journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.