Dick R. Nässel
- Cellular and Molecular Neuroscience top 0.05%
- Neurobiology and Insect Physiology Research 178
- Neuropeptides and Animal Physiology 33
- Aging top 0.2%
- Insect Science top 0.05%
- Insect Utilization and Effects 41
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin 24
- Genetics top 0.2%
- Insect and Arachnid Ecology and Behavior 38
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- Invertebrate Immune Response Mechanisms 44
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- Animal Behavior and Reproduction 18
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- Physiological and biochemical adaptations 18
- Co-authors
- Åsa M.E. WintherMeet ZandawalaChristian WegenerJiangnan LuoMikael A. CarlssonC. Tomas LundquistJ. Eric MurenJozef Vanden Broeck
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Dick R. Nässel
191 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cellular and Molecular Neuroscience 9.2k
- Aging 838
- Insect Science 3.0k
- Endocrine and Autonomic Systems 1.4k
- Genetics 3.3k
Countries citing papers authored by Dick R. Nässel
This map shows the geographic impact of Dick R. Nässel'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 Dick R. Nässel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dick R. Nässel more than expected).
Fields of papers citing papers by Dick R. Nässel
This network shows the impact of papers produced by Dick R. Nässel. 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 Dick R. Nässel. The network helps show where Dick R. Nässel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dick R. Nässel, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 37 | |
| 8 | 2022 | 27 | |
| 9 | 2021 | 20 | |
| 10 | 2021 | 7 | |
| 11 | 2018 | 43 | |
| 12 | 2018 | 82 | |
| 13 | 2014 | 10 | |
| 14 | 2011 | 61 | |
| 15 | 2009 | 137 | |
| 16 | 2008 | 130 | |
| 17 | 2003 | 13 | |
| 18 | 1999 | 21 | |
| 19 | 1986 | 8 | |
| 20 | 1984 | 15 |
About Dick R. Nässel
Dick R. Nässel is a scholar working on Cellular and Molecular Neuroscience, Aging and Insect Science, having authored 193 papers that have together received 10.6k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (178 papers), Invertebrate Immune Response Mechanisms (44 papers), Insect Utilization and Effects (41 papers), Insect and Arachnid Ecology and Behavior (38 papers), Neuropeptides and Animal Physiology (33 papers), Circadian rhythm and melatonin (24 papers), Animal Behavior and Reproduction (18 papers) and Physiological and biochemical adaptations (18 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (9.2k citations), Aging (838 citations) and Insect Science (3.0k citations). Dick R. Nässel has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Åsa M.E. Winther, Meet Zandawala, Christian Wegener, Jiangnan Luo, Mikael A. Carlsson, C. Tomas Lundquist, J. Eric Muren, Jozef Vanden Broeck, Yiting Liu and Lina E. Enell. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.