Meg A. Younger

896 total citations
10 papers, 585 citations indexed

About

Meg A. Younger is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Meg A. Younger has authored 10 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Meg A. Younger's work include Neurobiology and Insect Physiology Research (9 papers), Mosquito-borne diseases and control (3 papers) and Plant and animal studies (2 papers). Meg A. Younger is often cited by papers focused on Neurobiology and Insect Physiology Research (9 papers), Mosquito-borne diseases and control (3 papers) and Plant and animal studies (2 papers). Meg A. Younger collaborates with scholars based in United States, Sweden and Denmark. Meg A. Younger's co-authors include Barry W. Connors, Miduturu Srinivas, Scott J. Cruikshank, David C. Spray, Benjamin J. Matthews, Leslie B. Vosshall, Graeme W. Davis, Amy H.Y. Tong, Martin Müller and Edward C.G. Pym and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Meg A. Younger

8 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meg A. Younger United States	7	336	268	83	75	72	10	585
Sarah Cunard Chaney United States	4	299 0.9×	104 0.4×	78 0.9×	58 0.8×	22 0.3×	7	461
Junjie Luo United States	10	379 1.1×	118 0.4×	88 1.1×	115 1.5×	28 0.4×	10	571
Daniel T. Babcock United States	10	414 1.2×	199 0.7×	65 0.8×	176 2.3×	38 0.5×	20	637
Ronald W. Alfa United States	6	257 0.8×	175 0.7×	95 1.1×	64 0.9×	10 0.1×	6	480
Nicholas Stavropoulos United States	8	211 0.6×	274 1.0×	256 3.1×	45 0.6×	14 0.2×	11	634
Ulrike Pech Germany	10	341 1.0×	180 0.7×	131 1.6×	64 0.9×	8 0.1×	13	531
Jane A. Davies United Kingdom	14	368 1.1×	519 1.9×	101 1.2×	40 0.5×	15 0.2×	21	795
Sachiko Haga‐Yamanaka United States	10	675 2.0×	84 0.3×	86 1.0×	46 0.6×	31 0.4×	23	998
Alexander M. van der Linden United States	14	143 0.4×	672 2.5×	92 1.1×	40 0.5×	40 0.6×	25	1.2k
Osama M. Ahmed United States	7	201 0.6×	87 0.3×	129 1.6×	33 0.4×	15 0.2×	10	517

Countries citing papers authored by Meg A. Younger

Since Specialization

Citations

This map shows the geographic impact of Meg A. Younger'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 Meg A. Younger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meg A. Younger more than expected).

Fields of papers citing papers by Meg A. Younger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meg A. Younger. 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 Meg A. Younger. The network helps show where Meg A. Younger may publish in the future.

Co-authorship network of co-authors of Meg A. Younger

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

All Works

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10 of 10 papers shown

Younger, Meg A., et al.. (2025). When noncanonical olfaction is optimal. Proceedings of the National Academy of Sciences. 122(41). e2508439122–e2508439122.

Vizueta, Joel, et al.. (2023). Dietary diversity, sociality, and the evolution of ant gustation. Frontiers in Ecology and Evolution. 11. 6 indexed citations

Younger, Meg A.. (2023). Dextran Amine–Conjugated Neural Tracing in Mosquitoes. Cold Spring Harbor Protocols. 2024(8). pdb.prot108337–pdb.prot108337.

Younger, Meg A.. (2023). Whole-Mount Immunofluorescent Labeling of the Mosquito Central Nervous System. Cold Spring Harbor Protocols. 2024(8). pdb.prot108336–pdb.prot108336. 1 indexed citations

Zhao, Zhilei, Alexis L. Kriete, Meg A. Younger, et al.. (2022). Mosquito brains encode unique features of human odour to drive host seeking. Nature. 605(7911). 706–712. 71 indexed citations

Matthews, Benjamin J., Meg A. Younger, & Leslie B. Vosshall. (2019). The ion channel ppk301 controls freshwater egg-laying in the mosquito Aedes aegypti. eLife. 8. 70 indexed citations

Gorczyca, David, et al.. (2017). Composition and Control of a Deg/ENaC Channel during Presynaptic Homeostatic Plasticity. Cell Reports. 20(8). 1855–1866. 22 indexed citations

Younger, Meg A., Martin Müller, Amy H.Y. Tong, Edward C.G. Pym, & Graeme W. Davis. (2013). A Presynaptic ENaC Channel Drives Homeostatic Plasticity. Neuron. 79(6). 1183–1196. 79 indexed citations

Keene, Alex C., Esteban O. Mazzoni, Meg A. Younger, et al.. (2011). Distinct Visual Pathways MediateDrosophilaLarval Light Avoidance and Circadian Clock Entrainment. Journal of Neuroscience. 31(17). 6527–6534. 67 indexed citations

10.

Cruikshank, Scott J., et al.. (2004). Potent block of Cx36 and Cx50 gap junction channels by mefloquine. Proceedings of the National Academy of Sciences. 101(33). 12364–12369. 269 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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