Paz Duran
Impact in
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- Neuroscience and Neuropharmacology Research
- Axon Guidance and Neuronal Signaling
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- Pain Mechanisms and Treatments
Papers in
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- Ion channel regulation and function 8
- Angiogenesis and VEGF in Cancer 4
- Receptor Mechanisms and Signaling 3
- Connexins and lens biology 2
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- Axon Guidance and Neuronal Signaling 6
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Rajesh Khanna (15 shared papers)Kimberly Gómez (12 shared papers)Aubin Moutal (7 shared papers)Alejandro Sandoval (6 shared papers)Aida Calderón‐Rivera (10 shared papers)Ricardo Felix (6 shared papers)Samantha Perez‐Miller (6 shared papers)Marcel Pátek (2 shared papers)
- Journals
- Pain (5 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Pain (2 papers)ACS Chemical Neuroscience (2 papers)Neuroscience (1 paper)
- Partner nations
- United StatesMexicoCanada
In The Last Decade
Paz Duran
23 papers receiving 209 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 57
- Physiology 61
- Neurology 23
- Molecular Biology 92
- Geriatrics and Gerontology 4
Countries citing papers authored by Paz Duran
This map shows the geographic impact of Paz Duran'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 Paz Duran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paz Duran more than expected).
Fields of papers citing papers by Paz Duran
This network shows the impact of papers produced by Paz Duran. 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 Paz Duran. The network helps show where Paz Duran may publish in the future.
Co-authors
The 25 scholars most cited alongside Paz Duran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 39 | |
| 2 | 2023 | 25 | |
| 3 | 2023 | 21 | |
| 4 | 2017 | 20 | |
| 5 | 2023 | 14 | |
| 6 | 2022 | 13 | |
| 7 | 2024 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Paz Duran
Paz Duran is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Neurology and Pharmacology, having authored 23 papers that have together received 209 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (11 papers), Ion channel regulation and function (8 papers), Axon Guidance and Neuronal Signaling (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Receptor Mechanisms and Signaling (3 papers), Connexins and lens biology (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (57 citations), Physiology (61 citations), Neurology (23 citations), Molecular Biology (92 citations) and Geriatrics and Gerontology (4 citations). Paz Duran has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Rajesh Khanna, Kimberly Gómez, Aubin Moutal, Alejandro Sandoval, Aida Calderón‐Rivera, Ricardo Felix, Samantha Perez‐Miller, Marcel Pátek, Heather N. Allen and Dongzhi Ran. Their work appears in journals such as Pain, Proceedings of the National Academy of Sciences, Journal of Pain, ACS Chemical Neuroscience and Neuroscience.
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.