Kit D. Longden
Impact in
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- Neurobiology and Insect Physiology Research
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Hemispheric Asymmetry in Neuroscience
Papers in
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- Neurobiology and Insect Physiology Research 12
- Neuroscience and Neuropharmacology Research 3
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- Visual perception and processing mechanisms 7
- Neural dynamics and brain function 7
- Memory and Neural Mechanisms 2
- Co-authors
- Holger G. Krapp (8 shared papers)David L. Stern (1 shared paper)Yun Ding (1 shared paper)Tomoko Morita (1 shared paper)Susan D. Iversen (1 shared paper)Simon R. Schultz (2 shared papers)Daniel Cook (1 shared paper)Michael B. Reiser (2 shared papers)
- Journals
- Current Biology (5 papers)Nature Communications (2 papers)Neurocomputing (2 papers)Scientific Reports (1 paper)Network Computation in Neural Systems (1 paper)
- 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
- Aging 8
- Developmental Biology 9
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-authors
The 22 scholars most cited alongside Kit D. Longden, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 98 | |
| 2 | 2009 | 57 | |
| 3 | 2010 | 43 | |
| 4 | 1976 | 34 | |
| 5 | 2014 | 33 | |
| 6 | 2021 | 32 | |
| 7 | 2017 | 21 | |
| 8 | 2015 | 17 | |
| 9 | 2016 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 2011 | 8 | |
| 12 | 2012 | 7 | |
| 13 | 2011 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2007 | 2 | |
| 16 | 2002 | 1 | |
| 17 | 2006 | 1 |
About Kit D. Longden
Kit D. Longden is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 17 papers that have together received 382 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (12 papers), Visual perception and processing mechanisms (7 papers), Neural dynamics and brain function (7 papers), Animal Behavior and Reproduction (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Memory and Neural Mechanisms (2 papers), Retinal Development and Disorders (2 papers) and Plant and animal studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (236 citations), Cognitive Neuroscience (142 citations), Ecology, Evolution, Behavior and Systematics (128 citations), Aging (8 citations) and Developmental Biology (9 citations). Kit D. Longden has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Holger G. Krapp, David L. Stern, Yun Ding, Tomoko Morita, Susan D. Iversen, Simon R. Schultz, Daniel Cook, Michael B. Reiser, Heather Dionne and Martina Wicklein. Their work appears in journals such as Current Biology, Nature Communications, Neurocomputing, Scientific Reports and Network Computation in Neural Systems.
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.