Kit D. Longden
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Genetics
- Molecular Biology
- Co-authors
- Holger G. KrappYun DingTomoko MoritaDavid L. SternSusan D. IversenSimon R. SchultzDaniel CookHeather Dionne
- Topics
- Neurobiology and Insect Physiology Research (12 papers)Neural dynamics and brain function (7 papers)Visual perception and processing mechanisms (7 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceEcology, Evolution, Behavior and Systematics
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Kit D. Longden
17 papers receiving 381 citations
Peers
Comparison fields: 5 of 51
- Cellular and Molecular Neuroscience 236
- Cognitive Neuroscience 142
- Ecology, Evolution, Behavior and Systematics 128
- Genetics 110
- Molecular Biology 65
Countries citing papers authored by Kit D. Longden
This map shows the geographic impact of Kit D. Longden'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 Kit D. Longden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kit D. Longden more than expected).
Fields of papers citing papers by Kit D. Longden
This network shows the impact of papers produced by Kit D. Longden. 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 Kit D. Longden. The network helps show where Kit D. Longden may publish in the future.
Co-authorship network of co-authors of Kit D. Longden
This figure shows the co-authorship network connecting the top 25 collaborators of Kit D. Longden. A scholar is included among the top collaborators of Kit D. Longden 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 Kit D. Longden. Kit D. Longden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 3 | |
| 3 | 32 | |
| 4 | 21 | |
| 5 | 12 | |
| 6 | 98 | |
| 7 | 17 | |
| 8 | 33 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 43 | |
| 13 | 57 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 34 |
About Kit D. Longden
Kit D. Longden is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 17 papers that have together received 382 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (12 papers), Neural dynamics and brain function (7 papers) and Visual perception and processing mechanisms (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (236 citations), Cognitive Neuroscience (142 citations) and Ecology, Evolution, Behavior and Systematics (128 citations). Kit D. Longden has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Holger G. Krapp, Yun Ding, Tomoko Morita, David L. Stern, Susan D. Iversen, Simon R. Schultz, Daniel Cook, Heather Dionne, Stephen J Huston and Michael B. Reiser. Their work appears in journals such as Nature, Nature Communications and Journal of Neuroscience.
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.