Fernando Brücher
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
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- Regulation of Appetite and Obesity
Papers in
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- Neuroscience and Neuropharmacology Research 7
- Neuroscience and Neural Engineering 3
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- Neural dynamics and brain function 7
- Memory and Neural Mechanisms 3
- Co-authors
- Gary Lynch (9 shared papers)Rainer K. Reinscheid (1 shared paper)Olivier Civelli (1 shared paper)Stewart D. Clark (1 shared paper)Steven H. Lin (1 shared paper)Salvador Huitrón‐Reséndiz (1 shared paper)Luı́s de Lecea (1 shared paper)Zhiwei Wang (1 shared paper)
- Journals
- Journal of Neurophysiology (3 papers)Journal of Neuroscience (2 papers)Brain Research (2 papers)Journal of Biological Chemistry (1 paper)Neuron (1 paper)
- Partner nations
- United StatesSingaporeSlovenia
In The Last Decade
Fernando Brücher
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Cellular and Molecular Neuroscience 595
- Endocrine and Autonomic Systems 169
- Cognitive Neuroscience 420
- Developmental Neuroscience 61
- Behavioral Neuroscience 54
Countries citing papers authored by Fernando Brücher
This map shows the geographic impact of Fernando Brücher'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 Fernando Brücher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Brücher more than expected).
Fields of papers citing papers by Fernando Brücher
This network shows the impact of papers produced by Fernando Brücher. 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 Fernando Brücher. The network helps show where Fernando Brücher may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Brücher, 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 | 2004 | 433 | |
| 2 | 2009 | 216 | |
| 3 | 2005 | 153 | |
| 4 | 2000 | 104 | |
| 5 | 2003 | 84 | |
| 6 | 2009 | 70 | |
| 7 | 2004 | 62 | |
| 8 | 2002 | 21 | |
| 9 | 2002 | 21 | |
| 10 | 2002 | 13 | |
| 11 | 2004 | 11 | |
| 12 | 2001 | 6 |
About Fernando Brücher
Fernando Brücher is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Neuroscience and Neural Engineering (3 papers), Memory and Neural Mechanisms (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Robotics and Sensor-Based Localization (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (595 citations), Endocrine and Autonomic Systems (169 citations), Cognitive Neuroscience (420 citations), Developmental Neuroscience (61 citations) and Behavioral Neuroscience (54 citations). Fernando Brücher has collaborated with scholars based in United States, Singapore and Slovenia. Frequent co-authors include Gary Lynch, Rainer K. Reinscheid, Olivier Civelli, Stewart D. Clark, Steven H. Lin, Salvador Huitrón‐Reséndiz, Luı́s de Lecea, Zhiwei Wang, Steven J. Henriksen and Xiaoning Bi. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Brain Research, Journal of Biological Chemistry and Neuron.
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.