CS Goodman

2.8k citations
17 papers · 2.0k · h-index 16

Impact in

Papers in

    • Neurobiology and Insect Physiology Research 14
    • Axon Guidance and Neuronal Signaling 6
    • Neuroscience and Neural Engineering 2
    • Genetics, Aging, and Longevity in Model Organisms 7

CS Goodman

17 papers receiving 2.0k citations

Peers

CS Goodman
Comparison fields: 5 of 78
  • Aging 244
  • Developmental Neuroscience 377
  • Cellular and Molecular Neuroscience 1.6k
  • Cell Biology 437
  • Molecular Biology 973
Replace MJ Bastiani with:
MJ Bastiani United States
Joachim Urban Germany
Corey S. Goodman United States
Akira Chiba United States
J. Roger Jacobs Canada
Torsten Bossing United Kingdom
Alicia Hidalgo United Kingdom
Guy Tear United Kingdom
Larry Ackerman United States
Iris Salecker United Kingdom
CS Goodman relative to MJ Bastiani United States MJ Bastiani's profile →
Citations per field
00.5×1.5×
MJ Bastiani · 1×
Citations per year

Countries citing papers authored by CS Goodman

Since Specialization
Citations

This map shows the geographic impact of CS 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 CS Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CS Goodman more than expected).

Fields of papers citing papers by CS Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by CS 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 CS Goodman. The network helps show where CS Goodman may publish in the future.

Co-authors

The 8 scholars most cited alongside CS 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 CS Goodman Line = papers co-authored together CS Goodman links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1989236
2 1983205
3 1983200
4 1984179
5 1986159
6 1984149
7 1987149
8 1989134
9 1984106
10 1981104
11 198197
12 198689
13 198577
14 198674
15 198647
16 198630
17 200614

About CS Goodman

CS Goodman is a scholar working on Cellular and Molecular Neuroscience, Aging, Molecular Biology, Cell Biology and Atomic and Molecular Physics, and Optics, having authored 17 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (14 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Axon Guidance and Neuronal Signaling (6 papers), Developmental Biology and Gene Regulation (3 papers), Cellular Mechanics and Interactions (3 papers), Neuroscience and Neural Engineering (2 papers), Force Microscopy Techniques and Applications (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Aging (244 citations), Developmental Neuroscience (377 citations), Cellular and Molecular Neuroscience (1.6k citations), Cell Biology (437 citations) and Molecular Biology (973 citations). CS Goodman has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include MJ Bastiani, JA Raper, J. Roger Jacobs, Michael Bate, Nicholas C. Spitzer, Nipam H. Patel, Sascha du and Eldon E. Ball. Their work appears in journals such as Journal of Neuroscience, American Journal of Reproductive Immunology and PubMed.

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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