Corey S. Goodman

44.7k citations
189 papers · 37.2k indexed · 10 hit papers · h-index 103

Impact in

Papers in

Corey S. Goodman

187 papers receiving 36.6k citations

Hit Papers

Slit Is the Midline Repellent for the Robo Receptor in Drosophila 1999 · 781 citations
781198920262001201350010001.5k2.0k2.5k

Peers

Corey S. Goodman
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
Replace Marc Tessier‐Lavigne with:
Marc Tessier‐Lavigne United States
Joshua R. Sanes United States
Thomas M. Jessell United States
Yuh Nung Jan United States
Rüdiger Klein Germany
Liqun Luo United States
Wieland Β. Huttner Germany
Nobutaka Hirokawa Japan
Christopher A. Walsh United States
Pietro De Camilli United States
Corey S. Goodman relative to Marc Tessier‐Lavigne United States Marc Tessier‐Lavigne's profile →
Citations per field
00.5×1.5×2.0×
Marc Tessier‐Lavigne · 1×
Citations per year

Countries citing papers authored by Corey S. Goodman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Corey S. Goodman Line = papers co-authored together Corey S. Goodman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2004173
2 2001164
3 2001129
4 200163
5 2000377
6 2000318
7 1999170
8 1999166
9 1998214
10 1996110
11 1996302
12 1996446
13 199566
14
To cross or not to cross: a genetic analysis of guidance at the midline.
199326
15 199254
16 1990392
17
Expression of engrailed proteins in arthropods, annelids, and chordates
Hit paper breakdown →
1989903
18 1989342
19 1988123
20 198422

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.

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