Jorge Medina
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- Neuroscience and Neuropharmacology Research 5
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- Blockchain Technology Applications and Security 5
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- Memory and Neural Mechanisms 3
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- SARS-CoV-2 and COVID-19 Research 2
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- Analytical Chemistry and Chromatography 2
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- Robotic Path Planning Algorithms 2
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- Computational Drug Discovery Methods 2
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- Software-Defined Networks and 5G 2
- Co-authors
- Cristina WasowskiHaydée ViolaMariel MarderAlejandro C. PaladiniRoberto Rojas‐CessaClaudia WolfmanZiqian DongAntonella Paladini
- Journals
- SHILAP Revista de lepidopterología (1 paper)Biochemical and Biophysical Research Communications (1 paper)IEEE Access (1 paper)
- Partner nations
- United StatesArgentinaSweden
In The Last Decade
Jorge Medina
15 papers receiving 541 citations
Peers
Comparison fields: 5 of 101
- Complementary and alternative medicine 141
- Cellular and Molecular Neuroscience 141
- Biochemistry 37
- Behavioral Neuroscience 19
- Biological Psychiatry 12
Countries citing papers authored by Jorge Medina
This map shows the geographic impact of Jorge Medina'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 Medina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Medina more than expected).
Fields of papers citing papers by Jorge Medina
This network shows the impact of papers produced by Jorge Medina. 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 Medina. The network helps show where Jorge Medina may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Jorge Medina, 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 | 2024 | 4 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 42 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 26 | |
| 8 | 2021 | 5 | |
| 9 | 2020 | 40 | |
| 10 | 2019 | 1 | |
| 11 | 2019 | 5 | |
| 12 | 1999 | 7 | |
| 13 | 1999 | 153 | |
| 14 | 1997 | 184 | |
| 15 | 1993 | 21 | |
| 16 | 1990 | 49 | |
| 17 | 1988 | 42 |
About Jorge Medina
Jorge Medina is a scholar working on Cellular and Molecular Neuroscience, Information Systems and Modeling and Simulation, having authored 17 papers that have together received 587 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Blockchain Technology Applications and Security (5 papers), Memory and Neural Mechanisms (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Analytical Chemistry and Chromatography (2 papers), Robotic Path Planning Algorithms (2 papers), Computational Drug Discovery Methods (2 papers) and Software-Defined Networks and 5G (2 papers). The work is most often cited by research in Complementary and alternative medicine (141 citations), Cellular and Molecular Neuroscience (141 citations) and Biochemistry (37 citations). Jorge Medina has collaborated with scholars based in United States, Argentina and Sweden. Frequent co-authors include Cristina Wasowski, Haydée Viola, Mariel Marder, Alejandro C. Paladini, Roberto Rojas‐Cessa, Claudia Wolfman, Ziqian Dong, Antonella Paladini, Daniel J. Calvo and C. Wolfman. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and IEEE Access.
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.