William Muñoz
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
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- Neural dynamics and brain function 5
- Neurobiology of Language and Bilingualism 1
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- Neuroscience and Neuropharmacology Research 3
- Neuroscience and Neural Engineering 1
- Co-authors
- Robin Tremblay (3 shared papers)Bernardo Rudy (3 shared papers)Daniel Levenstein (1 shared paper)Eric Muñoz (1 shared paper)Mohsen Jamali (3 shared papers)Sydney S. Cash (3 shared papers)Ziv M. Williams (3 shared papers)Arjun Khanna (2 shared papers)
- Journals
- Nature (2 papers)Clinical Neurophysiology (1 paper)Cell Reports (1 paper)Annals of Surgery (1 paper)eLife (1 paper)
- Partner nations
- United States
In The Last Decade
William Muñoz
10 papers receiving 584 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 305
- Cognitive Neuroscience 307
- Sensory Systems 19
- Emergency Medical Services 23
- Neurology 24
Countries citing papers authored by William Muñoz
This map shows the geographic impact of William Muñoz'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 William Muñoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Muñoz more than expected).
Fields of papers citing papers by William Muñoz
This network shows the impact of papers produced by William Muñoz. 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 William Muñoz. The network helps show where William Muñoz may publish in the future.
Co-authors
The 25 scholars most cited alongside William Muñoz, 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 | 2017 | 210 | |
| 2 | 2010 | 157 | |
| 3 | 2014 | 95 | |
| 4 | 2014 | 48 | |
| 5 | 2024 | 28 | |
| 6 | 2020 | 22 | |
| 7 | 2024 | 18 | |
| 8 | 2018 | 10 | |
| 9 | 2023 | 4 | |
| 10 | Spontaneous regression of large theca lutein cysts in a twin pregnancy. A case report. | 1985 | 1 |
| 11 | 2024 | 0 | |
| 12 | 2022 | 0 |
About William Muñoz
William Muñoz is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology and Signal Processing, having authored 12 papers that have together received 593 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Skin and Cellular Biology Research (1 paper), Ferroelectric and Negative Capacitance Devices (1 paper), Neuroscience and Neural Engineering (1 paper), Diet, Metabolism, and Disease (1 paper) and Neurobiology of Language and Bilingualism (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (305 citations), Cognitive Neuroscience (307 citations), Sensory Systems (19 citations), Emergency Medical Services (23 citations) and Neurology (24 citations). William Muñoz has collaborated with scholars based in United States. Frequent co-authors include Robin Tremblay, Bernardo Rudy, Daniel Levenstein, Eric Muñoz, Mohsen Jamali, Sydney S. Cash, Ziv M. Williams, Arjun Khanna, Jing Cai and Angelique C. Paulk. Their work appears in journals such as Nature, Clinical Neurophysiology, Cell Reports, Annals of Surgery and eLife.
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.