Jared V. Goodman
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 1
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- Memory and Neural Mechanisms 2
- Co-authors
- Kerry J. Ressler (3 shared papers)Brian Dias (2 shared papers)Sunayana B. Banerjee (2 shared papers)Azad Bonni (3 shared papers)Raül Andero (1 shared paper)Paul J. Marvar (1 shared paper)Dennis C. Choi (1 shared paper)Sébastien Fuchs (1 shared paper)
- Journals
- Current Opinion in Neurobiology (2 papers)Biological Psychiatry (1 paper)Nature Communications (1 paper)Neuron (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jared V. Goodman
8 papers receiving 376 citations
Peers
Comparison fields: 5 of 75
- Behavioral Neuroscience 72
- Developmental Neuroscience 31
- Biological Psychiatry 14
- Cancer Research 50
- Cellular and Molecular Neuroscience 59
Countries citing papers authored by Jared V. Goodman
This map shows the geographic impact of Jared V. Goodman'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 Jared V. Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared V. Goodman more than expected).
Fields of papers citing papers by Jared V. Goodman
This network shows the impact of papers produced by Jared V. Goodman. 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 Jared V. Goodman. The network helps show where Jared V. Goodman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jared V. Goodman, 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 | 2014 | 100 | |
| 2 | 2013 | 91 | |
| 3 | 2013 | 62 | |
| 4 | 2019 | 40 | |
| 5 | 2017 | 39 | |
| 6 | 2020 | 35 | |
| 7 | 2018 | 12 | |
| 8 | 2021 | 3 |
About Jared V. Goodman
Jared V. Goodman is a scholar working on Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 8 papers that have together received 382 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Memory and Neural Mechanisms (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Epigenetics and DNA Methylation (1 paper), Graphene and Nanomaterials Applications (1 paper), Chromosomal and Genetic Variations (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Nanoparticles: synthesis and applications (1 paper). The work is most often cited by research in Behavioral Neuroscience (72 citations), Developmental Neuroscience (31 citations), Biological Psychiatry (14 citations), Cancer Research (50 citations) and Cellular and Molecular Neuroscience (59 citations). Jared V. Goodman has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kerry J. Ressler, Brian Dias, Sunayana B. Banerjee, Azad Bonni, Raül Andero, Paul J. Marvar, Dennis C. Choi, Sébastien Fuchs, Stephen F. Larner and Kevin Wang. Their work appears in journals such as Current Opinion in Neurobiology, Biological Psychiatry, Nature Communications, Neuron and Journal of 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.