Guillermo A. Yudowski
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Pharmacology top 2%
- Cell Biology top 10%
- Surgery
- Co-authors
- Debra A. KendallMark von ZastrowManojkumar A. PuthenveeduCarlos Nogueras‐OrtizJoshua J. C. RosenthalIsabel C. Vallecillo-ViejoPer‐Olof BerggrenAdrian I. Katz
- Topics
- Receptor Mechanisms and Signaling (13 papers)Neuroscience and Neuropharmacology Research (11 papers)Neuropeptides and Animal Physiology (7 papers)
- Partner nations
- United StatesPuerto RicoSweden
In The Last Decade
Guillermo A. Yudowski
28 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 923
- Cellular and Molecular Neuroscience 616
- Pharmacology 412
- Cell Biology 213
- Surgery 149
Countries citing papers authored by Guillermo A. Yudowski
This map shows the geographic impact of Guillermo A. Yudowski'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 Guillermo A. Yudowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo A. Yudowski more than expected).
Fields of papers citing papers by Guillermo A. Yudowski
This network shows the impact of papers produced by Guillermo A. Yudowski. 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 Guillermo A. Yudowski. The network helps show where Guillermo A. Yudowski may publish in the future.
Co-authorship network of co-authors of Guillermo A. Yudowski
This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo A. Yudowski. A scholar is included among the top collaborators of Guillermo A. Yudowski 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 Guillermo A. Yudowski. Guillermo A. Yudowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 12 | |
| 3 | 13 | |
| 4 | 25 | |
| 5 | 251 | |
| 6 | 61 | |
| 7 | 75 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 26 | |
| 12 | 27 | |
| 13 | 10 | |
| 14 | 30 | |
| 15 | 87 | |
| 16 | 5 | |
| 17 | 170 | |
| 18 | 69 | |
| 19 | 33 | |
| 20 | 66 |
About Guillermo A. Yudowski
Guillermo A. Yudowski is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Biophysics, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Neuroscience and Neuropharmacology Research (11 papers) and Neuropeptides and Animal Physiology (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (616 citations), Pharmacology (412 citations) and Molecular Biology (923 citations). Guillermo A. Yudowski has collaborated with scholars based in United States, Puerto Rico and Sweden. Frequent co-authors include Debra A. Kendall, Mark von Zastrow, Manojkumar A. Puthenveedu, Carlos Nogueras‐Ortiz, Joshua J. C. Rosenthal, Isabel C. Vallecillo-Viejo, Per‐Olof Berggren, Adrian I. Katz, Carlos H. Pedemonte and Alejandro M. Bertorello. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.