Corey S. Goodman
Impact in
- Developmental Neuroscience top 0.01%
- Neurogenesis and neuroplasticity mechanisms
- Cellular and Molecular Neuroscience top 0.01%
- Axon Guidance and Neuronal Signaling
- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
Papers in
- Aging 20
- Genetics, Aging, and Longevity in Model Organisms 20
-
- Neurobiology and Insect Physiology Research 87
- Axon Guidance and Neuronal Signaling 61
- Co-authors
- Marc Tessier‐LavigneRichard D. FetterThomas KiddNipam H. PatelCarla J. ShatzChris Q. DoeGraeme W. DavisK Bland
- Journals
- Neuron (34 papers)Cell (31 papers)Development (16 papers)Science (12 papers)Developmental Biology (12 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Corey S. Goodman
187 papers receiving 36.6k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Developmental Neuroscience 6.5k
- Cellular and Molecular Neuroscience 26.7k
- Aging 1.9k
- Cell Biology 10.5k
- Molecular Biology 21.2k
Countries citing papers authored by Corey S. Goodman
This map shows the geographic impact of Corey S. 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 Corey S. Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corey S. Goodman more than expected).
Fields of papers citing papers by Corey S. Goodman
This network shows the impact of papers produced by Corey S. 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 Corey S. Goodman. The network helps show where Corey S. Goodman may publish in the future.
Co-authors
The 25 scholars most cited alongside Corey S. 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 | 2004 | 173 | |
| 2 | 2001 | 164 | |
| 3 | 2001 | 129 | |
| 4 | 2001 | 63 | |
| 5 | 2000 | 377 | |
| 6 | 2000 | 318 | |
| 7 | 1999 | 170 | |
| 8 | 1999 | 166 | |
| 9 | 1998 | 214 | |
| 10 | 1996 | 110 | |
| 11 | 1996 | 302 | |
| 12 | 1996 | 446 | |
| 13 | 1995 | 66 | |
| 14 | To cross or not to cross: a genetic analysis of guidance at the midline. | 1993 | 26 |
| 15 | 1992 | 54 | |
| 16 | 1990 | 392 | |
| 17 | Expression of engrailed proteins in arthropods, annelids, and chordates Hit paper breakdown → | 1989 | 903 |
| 18 | 1989 | 342 | |
| 19 | 1988 | 123 | |
| 20 | 1984 | 22 |
About Corey S. Goodman
Corey S. Goodman is a scholar working on Aging, Cellular and Molecular Neuroscience, Developmental Neuroscience, Cell Biology and Molecular Biology, having authored 189 papers that have together received 37.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (87 papers), Axon Guidance and Neuronal Signaling (61 papers), Developmental Biology and Gene Regulation (42 papers), Neurogenesis and neuroplasticity mechanisms (27 papers), Zebrafish Biomedical Research Applications (21 papers), Genetics, Aging, and Longevity in Model Organisms (20 papers), Cellular Mechanics and Interactions (17 papers) and Cellular transport and secretion (17 papers). The work is most often cited by research in Developmental Neuroscience (6.5k citations), Cellular and Molecular Neuroscience (26.7k citations), Aging (1.9k citations), Cell Biology (10.5k citations) and Molecular Biology (21.2k citations). Corey S. Goodman has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Marc Tessier‐Lavigne, Richard D. Fetter, Thomas Kidd, Nipam H. Patel, Carla J. Shatz, Chris Q. Doe, Graeme W. Davis, K Bland, Alex L. Kolodkin and Katja Brose. Their work appears in journals such as Neuron, Cell, Development, Science and Developmental Biology.
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.