Steve Rodriguez
Impact in
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
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- Computational Drug Discovery Methods
Papers in
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- Olfactory and Sensory Function Studies 3
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- Biochemical Analysis and Sensing Techniques 3
- Co-authors
- Mark W. Albers (4 shared papers)Bradley T. Hyman (3 shared papers)Kyle E. Evans (2 shared papers)Sarah A. Boswell (2 shared papers)Artem Sokolov (2 shared papers)Luxiang Cao (2 shared papers)Petar V. Todorov (1 shared paper)Nathan Johnson (1 shared paper)
- Journals
- Nature Communications (3 papers)Developmental Biology (1 paper)Scientific Reports (1 paper)Schizophrenia Research (1 paper)
- Partner nations
- United StatesGreeceIsrael
In The Last Decade
Steve Rodriguez
6 papers receiving 412 citations
Steve Rodriguez's Hit Papers
Peers
Comparison fields: 5 of 70
- Sensory Systems 67
- Computational Theory and Mathematics 93
- Neurology 42
- Health Informatics 6
- Pharmacology 65
Countries citing papers authored by Steve Rodriguez
This map shows the geographic impact of Steve Rodriguez'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 Steve Rodriguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Rodriguez more than expected).
Fields of papers citing papers by Steve Rodriguez
This network shows the impact of papers produced by Steve Rodriguez. 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 Steve Rodriguez. The network helps show where Steve Rodriguez may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Rodriguez, 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 | Machine learning identifies candidates for drug repurposing in Alzheimer’s disease Hit paper breakdown → | 2021 | 195 |
| 2 | 2012 | 68 | |
| 3 | 2012 | 63 | |
| 4 | 2022 | 35 | |
| 5 | 2007 | 29 | |
| 6 | 2017 | 29 |
About Steve Rodriguez
Steve Rodriguez is a scholar working on Sensory Systems, Nutrition and Dietetics, Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Molecular Biology, having authored 6 papers that have together received 419 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (3 papers), Olfactory and Sensory Function Studies (3 papers), Computational Drug Discovery Methods (2 papers), Neurobiology and Insect Physiology Research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Bioinformatics and Genomic Networks (1 paper) and Schizophrenia research and treatment (1 paper). The work is most often cited by research in Sensory Systems (67 citations), Computational Theory and Mathematics (93 citations), Neurology (42 citations), Health Informatics (6 citations) and Pharmacology (65 citations). Steve Rodriguez has collaborated with scholars based in United States, Greece and Israel. Frequent co-authors include Mark W. Albers, Bradley T. Hyman, Kyle E. Evans, Sarah A. Boswell, Artem Sokolov, Luxiang Cao, Petar V. Todorov, Nathan Johnson, Nienke Moret and Peter K. Sorger. Their work appears in journals such as Nature Communications, Developmental Biology, Scientific Reports and Schizophrenia Research.
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.