Jorge Golowasch
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 1%
- Molecular Biology top 10%
- Statistical and Nonlinear Physics top 2%
- Electrical and Electronic Engineering
- Co-authors
- Eve MarderL. F. AbbottMark S. GoldmanZheng LiuOlga KhorkovaGina G. TurrigianoF. BuchholtzIrving R. Epstein
- Topics
- Neural dynamics and brain function (24 papers)Neurobiology and Insect Physiology Research (23 papers)Ion channel regulation and function (15 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceThe Journal of Physiology
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Jorge Golowasch
44 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 98
- Cellular and Molecular Neuroscience 2.0k
- Cognitive Neuroscience 1.5k
- Molecular Biology 756
- Statistical and Nonlinear Physics 365
- Electrical and Electronic Engineering 306
Countries citing papers authored by Jorge Golowasch
This map shows the geographic impact of Jorge Golowasch'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 Jorge Golowasch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Golowasch more than expected).
Fields of papers citing papers by Jorge Golowasch
This network shows the impact of papers produced by Jorge Golowasch. 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 Jorge Golowasch. The network helps show where Jorge Golowasch may publish in the future.
Co-authorship network of co-authors of Jorge Golowasch
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Golowasch. A scholar is included among the top collaborators of Jorge Golowasch 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 Jorge Golowasch. Jorge Golowasch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 14 | |
| 5 | 11 | |
| 6 | 10 | |
| 7 | 28 | |
| 8 | 34 | |
| 9 | 5 | |
| 10 | 73 | |
| 11 | 14 | |
| 12 | 105 | |
| 13 | 10 | |
| 14 | 12 | |
| 15 | 36 | |
| 16 | 15 | |
| 17 | 64 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 15 |
About Jorge Golowasch
Jorge Golowasch is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Statistical and Nonlinear Physics, having authored 46 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (24 papers), Neurobiology and Insect Physiology Research (23 papers) and Ion channel regulation and function (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Cognitive Neuroscience (1.5k citations) and Statistical and Nonlinear Physics (365 citations). Jorge Golowasch has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Eve Marder, L. F. Abbott, L. F. Abbott, Mark S. Goldman, Zheng Liu, Olga Khorkova, Gina G. Turrigiano, F. Buchholtz, Irving R. Epstein and Christopher Miller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Physiology.
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.