Anupama Dahanukar
- Cellular and Molecular Neuroscience top 0.5%
- Neurobiology and Insect Physiology Research 41
- Insect Science top 0.2%
- Insect Utilization and Effects 14
- Sensory Systems top 0.5%
- Olfactory and Sensory Function Studies 11
- Nutrition and Dietetics top 1%
- Biochemical Analysis and Sensing Techniques 19
- Genetics top 1%
- Insect and Arachnid Ecology and Behavior 11
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- Invertebrate Immune Response Mechanisms 10
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- Physiological and biochemical adaptations 5
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- Plant and animal studies 4
- Co-authors
- John R. CarlsonJae Young KwonLinnea A. WeissElissa A. HallemRobin P. WhartonYu‐Chieh ChenDiya BanerjeeJames A. Walker
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (2 papers)Neuron (3 papers)
- Partner nations
- United StatesSwitzerlandSouth Korea
In The Last Decade
Anupama Dahanukar
43 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 86
- Cellular and Molecular Neuroscience 2.8k
- Insect Science 1.5k
- Sensory Systems 507
- Nutrition and Dietetics 811
- Genetics 1.2k
Countries citing papers authored by Anupama Dahanukar
This map shows the geographic impact of Anupama Dahanukar'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 Anupama Dahanukar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anupama Dahanukar more than expected).
Fields of papers citing papers by Anupama Dahanukar
This network shows the impact of papers produced by Anupama Dahanukar. 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 Anupama Dahanukar. The network helps show where Anupama Dahanukar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anupama Dahanukar, 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 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 13 | |
| 8 | 2021 | 30 | |
| 9 | 2019 | 31 | |
| 10 | 2018 | 11 | |
| 11 | 2015 | 58 | |
| 12 | 2015 | 116 | |
| 13 | 2014 | 104 | |
| 14 | 2014 | 17 | |
| 15 | 2011 | 89 | |
| 16 | 2011 | 318 | |
| 17 | Chemosensory coding in single sensilla | 2010 | 1 |
| 18 | 2007 | 349 | |
| 19 | 2005 | 130 | |
| 20 | 1999 | 181 |
About Anupama Dahanukar
Anupama Dahanukar is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Nutrition and Dietetics, having authored 44 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (41 papers), Biochemical Analysis and Sensing Techniques (19 papers), Insect Utilization and Effects (14 papers), Olfactory and Sensory Function Studies (11 papers), Insect and Arachnid Ecology and Behavior (11 papers), Invertebrate Immune Response Mechanisms (10 papers), Physiological and biochemical adaptations (5 papers) and Plant and animal studies (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.8k citations), Insect Science (1.5k citations) and Sensory Systems (507 citations). Anupama Dahanukar has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include John R. Carlson, Jae Young Kwon, Linnea A. Weiss, Elissa A. Hallem, Robin P. Wharton, Yu‐Chieh Chen, Diya Banerjee, James A. Walker, Sylwester Chyb and Andrew P. Wickens. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.