Jeffrey H. Goodman
- Developmental Neuroscience top 0.1%
- Neurogenesis and neuroplasticity mechanisms 15
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 31
- Nerve injury and regeneration 5
- Behavioral Neuroscience top 1%
- Biological Psychiatry top 2%
- Tryptophan and brain disorders 4
- Neurology top 2%
- Traumatic Brain Injury and Neurovascular Disturbances 5
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- Epilepsy research and treatment 7
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- Memory and Neural Mechanisms 5
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- Genetics and Neurodevelopmental Disorders 4
- Co-authors
- Helen E. ScharfmanAnne L. SollasSusan D. CrollRobert S. SloviterEvelyn DeanMary E. GilbertRussell E. BergerTara L. Rachinsky
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jeffrey H. Goodman
48 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Developmental Neuroscience 1.8k
- Cellular and Molecular Neuroscience 2.8k
- Behavioral Neuroscience 319
- Biological Psychiatry 196
- Neurology 494
Countries citing papers authored by Jeffrey H. Goodman
This map shows the geographic impact of Jeffrey H. 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 Jeffrey H. Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey H. Goodman more than expected).
Fields of papers citing papers by Jeffrey H. Goodman
This network shows the impact of papers produced by Jeffrey H. 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 Jeffrey H. Goodman. The network helps show where Jeffrey H. Goodman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey H. 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 | 2024 | 0 | |
| 2 | 2022 | 4 | |
| 3 | 2021 | 2 | |
| 4 | 2020 | 10 | |
| 5 | 2018 | 9 | |
| 6 | 2018 | 19 | |
| 7 | 2017 | 34 | |
| 8 | 2016 | 1 | |
| 9 | 2016 | 5 | |
| 10 | 2007 | 103 | |
| 11 | 2006 | 116 | |
| 12 | Increased neurogenesis and the ectopic granule cells after intrahippocampal BDNF infusion in adult ratsbreakdown → | 2005 | 595 |
| 13 | 2005 | 133 | |
| 14 | 2005 | 20 | |
| 15 | 2004 | 126 | |
| 16 | 2002 | 115 | |
| 17 | 2001 | 96 | |
| 18 | 1996 | 185 | |
| 19 | 1992 | 38 | |
| 20 | 1988 | 4 |
About Jeffrey H. Goodman
Jeffrey H. Goodman is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 50 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (31 papers), Neurogenesis and neuroplasticity mechanisms (15 papers), Epilepsy research and treatment (7 papers), Nerve injury and regeneration (5 papers), Memory and Neural Mechanisms (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Tryptophan and brain disorders (4 papers). The work is most often cited by research in Developmental Neuroscience (1.8k citations), Cellular and Molecular Neuroscience (2.8k citations) and Behavioral Neuroscience (319 citations). Jeffrey H. Goodman has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Helen E. Scharfman, Anne L. Sollas, Susan D. Croll, Robert S. Sloviter, Evelyn Dean, Mary E. Gilbert, Russell E. Berger, Tara L. Rachinsky, Marc A. Dichter and Daniel P. McCloskey. Their work appears in journals such as Journal of Neuroscience, Neurology 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.