Richard D. Fetter
- Cellular and Molecular Neuroscience top 0.05%
- Molecular Biology top 0.5%
- Cell Biology top 0.1%
- Genetics top 1%
- Aging top 0.1%
- Co-authors
- Corey S. GoodmanGraeme W. DavisCornelia I. BargmannKang ShenAlbert CardonaA. Pejmun HaghighiGuy TearJenny Choih
- Topics
- Neurobiology and Insect Physiology Research (50 papers)Cellular transport and secretion (21 papers)Genetics, Aging, and Longevity in Model Organisms (16 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Richard D. Fetter
115 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Cellular and Molecular Neuroscience 8.1k
- Molecular Biology 6.1k
- Cell Biology 3.6k
- Genetics 1.5k
- Aging 1.2k
Countries citing papers authored by Richard D. Fetter
This map shows the geographic impact of Richard D. Fetter'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 Richard D. Fetter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard D. Fetter more than expected).
Fields of papers citing papers by Richard D. Fetter
This network shows the impact of papers produced by Richard D. Fetter. 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 Richard D. Fetter. The network helps show where Richard D. Fetter may publish in the future.
Co-authorship network of co-authors of Richard D. Fetter
This figure shows the co-authorship network connecting the top 25 collaborators of Richard D. Fetter. A scholar is included among the top collaborators of Richard D. Fetter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard D. Fetter. Richard D. Fetter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The connectome of an insect brainbreakdown → | 155 |
| 2 | 2 | |
| 3 | 20 | |
| 4 | 29 | |
| 5 | 9 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 31 | |
| 9 | 24 | |
| 10 | 89 | |
| 11 | 31 | |
| 12 | 25 | |
| 13 | 104 | |
| 14 | 44 | |
| 15 | 33 | |
| 16 | 54 | |
| 17 | 30 | |
| 18 | Wnt-Ror signaling to SIA and SIB neurons directs anterior axon guidance and nerve ring placement in C. elegans | 4 |
| 19 | Neuroligin Expressed in Nonneuronal Cells Triggers Presynaptic Development in Contacting Axonsbreakdown → | 942 |
| 20 | 258 |
About Richard D. Fetter
Richard D. Fetter is a scholar working on Aging, Structural Biology and Cellular and Molecular Neuroscience, having authored 116 papers that have together received 13.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (50 papers), Cellular transport and secretion (21 papers) and Genetics, Aging, and Longevity in Model Organisms (16 papers). The work is most often cited by research in Aging (1.2k citations), Cellular and Molecular Neuroscience (8.1k citations) and Structural Biology (480 citations). Richard D. Fetter has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Corey S. Goodman, Graeme W. Davis, Cornelia I. Bargmann, Kang Shen, Albert Cardona, A. Pejmun Haghighi, Guy Tear, Jenny Choih, Christoph Schuster and Jinhong Fan. Their work appears in journals such as Nature, Science and Cell.
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.