Raphaël Guzman
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms 26
- Neurology top 0.5%
- Intracranial Aneurysms: Treatment and Complications 35
- Neurosurgical Procedures and Complications 30
- Intracerebral and Subarachnoid Hemorrhage Research 21
- Vascular Malformations Diagnosis and Treatment 20
- Traumatic Brain Injury and Neurovascular Disturbances 20
- Genetics top 0.5%
- Mesenchymal stem cell research 24
- Neurology top 1%
- Intracranial Aneurysms: Treatment and Complications 35
- Neurosurgical Procedures and Complications 30
- Intracerebral and Subarachnoid Hemorrhage Research 21
- Vascular Malformations Diagnosis and Treatment 20
- Traumatic Brain Injury and Neurovascular Disturbances 20
- Rheumatology top 1%
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- Cerebrospinal fluid and hydrocephalus 31
Raphaël Guzman
267 papers receiving 7.0k citations
Peers
Comparison fields: 5 of 144
- Developmental Neuroscience 970
- Neurology 2.1k
- Genetics 1.2k
- Neurology 767
- Rheumatology 935
Countries citing papers authored by Raphaël Guzman
This map shows the geographic impact of Raphaël Guzman'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 Raphaël Guzman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Guzman more than expected).
Fields of papers citing papers by Raphaël Guzman
This network shows the impact of papers produced by Raphaël Guzman. 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 Raphaël Guzman. The network helps show where Raphaël Guzman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raphaël Guzman, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 24 | |
| 16 | 2019 | 29 | |
| 17 | 2017 | 10 | |
| 18 | 2016 | 45 | |
| 19 | 2008 | 31 | |
| 20 | 1999 | 27 |
About Raphaël Guzman
Raphaël Guzman is a scholar working on Developmental Neuroscience, Neurology, Genetics, Cellular and Molecular Neuroscience and Neurology, having authored 288 papers that have together received 7.2k indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (35 papers), Cerebrospinal fluid and hydrocephalus (31 papers), Neurosurgical Procedures and Complications (30 papers), Neurogenesis and neuroplasticity mechanisms (26 papers), Mesenchymal stem cell research (24 papers), Intracerebral and Subarachnoid Hemorrhage Research (21 papers), Vascular Malformations Diagnosis and Treatment (20 papers) and Traumatic Brain Injury and Neurovascular Disturbances (20 papers). The work is most often cited by research in Developmental Neuroscience (970 citations), Neurology (2.1k citations), Genetics (1.2k citations), Neurology (767 citations) and Rheumatology (935 citations). Raphaël Guzman has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Gary K. Steinberg, Jehuda Soleman, Jason Yang, Tonya Bliss, Marco Lee, S. Nandi, Achal S. Achrol, Teresa Bell‐Stephens, Robert H. Andres and James Richards. Their work appears in journals such as Neurosurgical FOCUS, Child s Nervous System, World Neurosurgery, Journal of Neurosurgery Pediatrics and Neurosurgery.
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.