Anupama Dahanukar

5.2k total citations
44 papers, 3.5k citations indexed

About

Anupama Dahanukar is a scholar working on Cellular and Molecular Neuroscience, Nutrition and Dietetics and Insect Science. According to data from OpenAlex, Anupama Dahanukar has authored 44 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cellular and Molecular Neuroscience, 19 papers in Nutrition and Dietetics and 15 papers in Insect Science. Recurrent topics in Anupama Dahanukar's work include Neurobiology and Insect Physiology Research (41 papers), Biochemical Analysis and Sensing Techniques (19 papers) and Insect Utilization and Effects (14 papers). Anupama Dahanukar is often cited by papers focused on Neurobiology and Insect Physiology Research (41 papers), Biochemical Analysis and Sensing Techniques (19 papers) and Insect Utilization and Effects (14 papers). Anupama Dahanukar collaborates with scholars based in United States, Switzerland and South Korea. Anupama Dahanukar's 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, Andrew P. Wickens and Sylwester Chyb and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Anupama Dahanukar

43 papers receiving 3.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anupama Dahanukar United States 26 2.8k 1.5k 1.2k 811 697 44 3.5k
Coral G. Warr Australia 23 3.1k 1.1× 1.9k 1.2× 1.5k 1.2× 453 0.6× 642 0.9× 50 3.9k
Hubert Amrein United States 32 4.6k 1.6× 2.3k 1.5× 2.3k 1.9× 846 1.0× 1.2k 1.7× 48 6.0k
Jürgen Krieger Germany 43 4.7k 1.7× 3.1k 2.0× 2.4k 2.0× 789 1.0× 614 0.9× 85 5.5k
Verônica Rodrigues India 35 2.3k 0.8× 745 0.5× 844 0.7× 362 0.4× 575 0.8× 78 3.4k
Peter J. Clyne United States 12 2.0k 0.7× 1.0k 0.7× 863 0.7× 230 0.3× 371 0.5× 16 2.3k
Frédéric Marion‐Poll France 28 1.6k 0.6× 1.6k 1.1× 735 0.6× 393 0.5× 1.0k 1.4× 85 2.7k
Greg S. B. Suh United States 21 1.8k 0.6× 672 0.4× 829 0.7× 205 0.3× 392 0.6× 31 3.0k
Reinhard F. Stocker Switzerland 36 4.8k 1.7× 1.5k 1.0× 2.3k 1.9× 291 0.4× 1.4k 2.0× 69 5.3k
Dieter Wicher Germany 27 2.6k 0.9× 1.6k 1.1× 1.3k 1.1× 89 0.1× 556 0.8× 62 3.2k
Richard G. Vogt United States 26 3.1k 1.1× 2.6k 1.7× 1.9k 1.5× 117 0.1× 451 0.6× 38 3.8k

Countries citing papers authored by Anupama Dahanukar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Anupama Dahanukar

This figure shows the co-authorship network connecting the top 25 collaborators of Anupama Dahanukar. A scholar is included among the top collaborators of Anupama Dahanukar 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 Anupama Dahanukar. Anupama Dahanukar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Brown, Elizabeth, et al.. (2024). Aging is associated with a modality-specific decline in taste. iScience. 27(10). 110919–110919. 1 indexed citations
2.
Brown, Elizabeth, et al.. (2023). Evolution of fatty acid taste in drosophilids. Cell Reports. 42(10). 113297–113297. 7 indexed citations
3.
Ganguly, Anindya, et al.. (2022). Endocrine modulation of primary chemosensory neurons regulates Drosophila courtship behavior. PLoS Genetics. 18(8). e1010357–e1010357. 3 indexed citations
4.
Benton, Richard & Anupama Dahanukar. (2022). Chemosensory Coding inDrosophilaSingle Sensilla. Cold Spring Harbor Protocols. 2023(4). pdb.top107803–pdb.top107803. 4 indexed citations
5.
6.
Chen, Yu‐Chieh, et al.. (2021). Control of Sugar and Amino Acid Feeding via Pharyngeal Taste Neurons. Journal of Neuroscience. 41(27). 5791–5808. 13 indexed citations
7.
Chen, Yu‐Chieh, et al.. (2019). A subset of brain neurons controls regurgitation in adult Drosophila melanogaster. Journal of Experimental Biology. 222(Pt 19). 5 indexed citations
8.
Chen, Yu‐Chieh, Scarlet J. Park, Ryan Matthew Joseph, William W. Ja, & Anupama Dahanukar. (2019). Combinatorial Pharyngeal Taste Coding for Feeding Avoidance in Adult Drosophila. Cell Reports. 29(4). 961–973.e4. 31 indexed citations
9.
Chen, Yu‐Chieh, Scarlet J. Park, William W. Ja, & Anupama Dahanukar. (2018). Using Pox-Neuro (Poxn) Mutants in Drosophila Gustation Research: A Double-Edged Sword. Frontiers in Cellular Neuroscience. 12. 382–382. 11 indexed citations
10.
Chen, Yu‐Chieh, et al.. (2015). Pharyngeal sense organs drive robust sugar consumption in Drosophila. Nature Communications. 6(1). 6667–6667. 58 indexed citations
11.
Dahanukar, Anupama, et al.. (2014). Detection of sweet tastants by a conserved group of insect gustatory receptors. Proceedings of the National Academy of Sciences. 111(4). 1598–1603. 104 indexed citations
12.
Liu, Yu‐Chi, Travis K. Johnson, Kavita Sharma, et al.. (2014). The Drosophila melanogaster Phospholipid Flippase dATP8B Is Required for Odorant Receptor Function. PLoS Genetics. 10(3). e1004209–e1004209. 17 indexed citations
13.
Dahanukar, Anupama, et al.. (2014). The Molecular and Cellular Basis of Taste Coding in the Legs ofDrosophila. Journal of Neuroscience. 34(21). 7148–7164. 121 indexed citations
14.
Kwon, Jae Young, Anupama Dahanukar, Linnea A. Weiss, & John R. Carlson. (2014). A map of taste neuron projections in the Drosophila CNS. Journal of Biosciences. 39(4). 565–574. 43 indexed citations
15.
Medina, Adriana, et al.. (2013). Acid sensing by sweet and bitter taste neurons in Drosophila melanogaster. Nature Communications. 4(1). 2042–2042. 65 indexed citations
16.
Benton, Richard & Anupama Dahanukar. (2011). Electrophysiological Recording from Drosophila Olfactory Sensilla. Cold Spring Harbor Protocols. 2011(7). pdb.prot5630–pdb.prot5630. 22 indexed citations
17.
Weiss, Linnea A., Anupama Dahanukar, Jae Young Kwon, Diya Banerjee, & John R. Carlson. (2011). The Molecular and Cellular Basis of Bitter Taste in Drosophila. Neuron. 69(2). 258–272. 318 indexed citations
18.
Benton, Richard & Anupama Dahanukar. (2011). Electrophysiological Recording from Drosophila Taste Sensilla. Cold Spring Harbor Protocols. 2011(7). pdb.prot5631–pdb.prot5631. 13 indexed citations
19.
Benton, Richard & Anupama Dahanukar. (2010). Chemosensory coding in single sensilla. IRIS. 1 indexed citations
20.
Dahanukar, Anupama, Elissa A. Hallem, & John R. Carlson. (2005). Insect chemoreception. Current Opinion in Neurobiology. 15(4). 423–430. 130 indexed citations

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.

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