Franklin B. Krasne
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 2%
- Ecology top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Molecular Biology
- Co-authors
- Jeffrey J. WineDonald H. EdwardsW. J. HeitlerAndrew KramerTerri TeshibaShih‐Rung YehKirstie L. BellmanPeter A. Lawrence
- Topics
- Neurobiology and Insect Physiology Research (34 papers)Neural dynamics and brain function (21 papers)Advanced Memory and Neural Computing (13 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceEcology, Evolution, Behavior and Systematics
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Franklin B. Krasne
55 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 110
- Cellular and Molecular Neuroscience 1.5k
- Cognitive Neuroscience 809
- Ecology 590
- Ecology, Evolution, Behavior and Systematics 536
- Molecular Biology 222
Countries citing papers authored by Franklin B. Krasne
This map shows the geographic impact of Franklin B. Krasne'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 Franklin B. Krasne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franklin B. Krasne more than expected).
Fields of papers citing papers by Franklin B. Krasne
This network shows the impact of papers produced by Franklin B. Krasne. 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 Franklin B. Krasne. The network helps show where Franklin B. Krasne may publish in the future.
Co-authorship network of co-authors of Franklin B. Krasne
This figure shows the co-authorship network connecting the top 25 collaborators of Franklin B. Krasne. A scholar is included among the top collaborators of Franklin B. Krasne 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 Franklin B. Krasne. Franklin B. Krasne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 18 | |
| 4 | 11 | |
| 5 | 117 | |
| 6 | 27 | |
| 7 | 15 | |
| 8 | SWIMMY: Free Software for Teaching Neurophysiology of Neuronal Circuits. | 6 |
| 9 | 14 | |
| 10 | 19 | |
| 11 | 39 | |
| 12 | 241 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | 9 | |
| 16 | 46 | |
| 17 | 16 | |
| 18 | 6 | |
| 19 | 138 | |
| 20 | 60 |
About Franklin B. Krasne
Franklin B. Krasne is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Behavioral Neuroscience, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (34 papers), Neural dynamics and brain function (21 papers) and Advanced Memory and Neural Computing (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Cognitive Neuroscience (809 citations) and Ecology, Evolution, Behavior and Systematics (536 citations). Franklin B. Krasne has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Jeffrey J. Wine, Donald H. Edwards, W. J. Heitler, Andrew Kramer, Terri Teshiba, Shih‐Rung Yeh, Kirstie L. Bellman, Peter A. Lawrence, Michael S. Fanselow and David L. Glanzman. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.