Daniel L. Rathbun
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Sensory Systems top 5%
- Co-authors
- Pritesh K. PandyaRaluca MouchaW. Martin UsreyNavzer D. EngineerMichael P. KilgardHenry J. AlittoEberhart ZrennerDavid K. Warland
- Topics
- Neural dynamics and brain function (17 papers)Neuroscience and Neural Engineering (17 papers)Photoreceptor and optogenetics research (12 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Daniel L. Rathbun
33 papers receiving 740 citations
Peers
Comparison fields: 5 of 75
- Cognitive Neuroscience 494
- Cellular and Molecular Neuroscience 425
- Molecular Biology 177
- Electrical and Electronic Engineering 151
- Sensory Systems 76
Countries citing papers authored by Daniel L. Rathbun
This map shows the geographic impact of Daniel L. Rathbun'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 Daniel L. Rathbun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Rathbun more than expected).
Fields of papers citing papers by Daniel L. Rathbun
This network shows the impact of papers produced by Daniel L. Rathbun. 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 Daniel L. Rathbun. The network helps show where Daniel L. Rathbun may publish in the future.
Co-authorship network of co-authors of Daniel L. Rathbun
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Rathbun. A scholar is included among the top collaborators of Daniel L. Rathbun 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 Daniel L. Rathbun. Daniel L. Rathbun 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 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | 18 | |
| 10 | 124 | |
| 11 | 9 | |
| 12 | 25 | |
| 13 | 22 | |
| 14 | 21 | |
| 15 | 32 | |
| 16 | 50 | |
| 17 | 22 | |
| 18 | 45 | |
| 19 | 22 | |
| 20 | 161 |
About Daniel L. Rathbun
Daniel L. Rathbun is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems, having authored 34 papers that have together received 758 indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Neuroscience and Neural Engineering (17 papers) and Photoreceptor and optogenetics research (12 papers). The work is most often cited by research in Cognitive Neuroscience (494 citations), Cellular and Molecular Neuroscience (425 citations) and Sensory Systems (76 citations). Daniel L. Rathbun has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Pritesh K. Pandya, Raluca Moucha, W. Martin Usrey, Navzer D. Engineer, Michael P. Kilgard, Henry J. Alitto, Eberhart Zrenner, David K. Warland, Bartlett D. Moore and Katarína Štingl. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.
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.