Stephanie M. Rollmann

4.6k total citations
33 papers, 1.5k citations indexed

About

Stephanie M. Rollmann is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Insect Science. According to data from OpenAlex, Stephanie M. Rollmann has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 13 papers in Ecology, Evolution, Behavior and Systematics and 13 papers in Insect Science. Recurrent topics in Stephanie M. Rollmann's work include Neurobiology and Insect Physiology Research (23 papers), Insect Utilization and Effects (11 papers) and Insect and Arachnid Ecology and Behavior (8 papers). Stephanie M. Rollmann is often cited by papers focused on Neurobiology and Insect Physiology Research (23 papers), Insect Utilization and Effects (11 papers) and Insect and Arachnid Ecology and Behavior (8 papers). Stephanie M. Rollmann collaborates with scholars based in United States, Germany and Belgium. Stephanie M. Rollmann's co-authors include Trudy F. C. Mackay, Robert R. H. Anholt, Richard C. Feldhoff, Lynne D. Houck, Theodore J. Morgan, Richard F. Lyman, Trudy F. C. Mackay, Alexis C. Edwards, Michael M. Magwire and Mary Anna Carbone and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Stephanie M. Rollmann

33 papers receiving 1.4k citations

Peers

Stephanie M. Rollmann

GENET

CMN

EEBS

Yuichiro Suzuki United States

J. Roman Arguello United States

Victoria A. Kassner United States

Shigeyuki Koshikawa Japan

John Ringo United States

Christine Merlin United States

Yael Heifetz Israel

Alan O. Bergland United States

Eran Tauber United Kingdom

Zongyuan Ma China

Yuichiro Suzuki United States

Stephanie M. Rollmann

511 ×0.7

GENET

445 ×0.7

CMN

429 ×0.8

EEBS

375 ×1.1

328 ×1.0

Citations per year, relative to Stephanie M. Rollmann Stephanie M. Rollmann (= 1×) peers Yuichiro Suzuki

Countries citing papers authored by Stephanie M. Rollmann

Since Specialization

Citations

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

Fields of papers citing papers by Stephanie M. Rollmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie M. Rollmann. 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 Stephanie M. Rollmann. The network helps show where Stephanie M. Rollmann may publish in the future.

Co-authorship network of co-authors of Stephanie M. Rollmann

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

All Works

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20 of 20 papers shown

Layne, John E., et al.. (2025). Olfactory variation among closely related cactophilic Drosophila species. Journal of Comparative Physiology A. 211(4). 445–459. 1 indexed citations

Rollmann, Stephanie M., et al.. (2024). Sensing in Animals and Robots: Collaborative, Transdisciplinary Learning in an Undergraduate Science Course. Journal of College Science Teaching. 53(2). 140–146. 1 indexed citations

Rollmann, Stephanie M., et al.. (2023). Coordinated activity and common ground during group problem solving in biology. Learning Culture and Social Interaction. 43. 100767–100767. 2 indexed citations

Layne, John E., et al.. (2021). Host plant shift differentially alters olfactory sensitivity in female and male Drosophila mojavensis. Journal of Insect Physiology. 135. 104312–104312. 2 indexed citations

Khallaf, Mohammed A., Thomas O. Auer, Veit Grabe, et al.. (2020). Mate discrimination among subspecies through a conserved olfactory pathway. Science Advances. 6(25). eaba5279–eaba5279. 37 indexed citations

Brown, Elizabeth, et al.. (2020). Behavioral and Transcriptional Response to Selection for Olfactory Behavior inDrosophila. G3 Genes Genomes Genetics. 10(4). 1283–1296. 3 indexed citations

Brown, Elizabeth, Emily Rayens, & Stephanie M. Rollmann. (2019). The Gene CG6767 Affects Olfactory Behavior in Drosophila melanogaster. Behavior Genetics. 49(3). 317–326. 2 indexed citations

Layne, John E., et al.. (2018). Evolution of coeloconic sensilla in the peripheral olfactory system of Drosophila mojavensis. Journal of Insect Physiology. 110. 13–22. 11 indexed citations

Brown, Elizabeth, et al.. (2017). Artificial selection for odor-guided behavior in Drosophila reveals changes in food consumption. BMC Genomics. 18(1). 867–867. 9 indexed citations

10.

Date, Priya, et al.. (2016). Population differences in olfaction accompany host shift in Drosophila mojavensis. Proceedings of the Royal Society B Biological Sciences. 283(1837). 20161562–20161562. 34 indexed citations

11.

Brown, Elizabeth, John E. Layne, Cheng Zhu, Anil G. Jegga, & Stephanie M. Rollmann. (2013). Genome‐wide association mapping of natural variation in odour‐guided behaviour in Drosophila. Genes Brain & Behavior. 12(5). 503–515. 25 indexed citations

12.

Luebbering, Nathan, Mark Charlton‐Perkins, Justin P. Kumar, et al.. (2013). Drosophila Dyrk2 Plays a Role in the Development of the Visual System. PLoS ONE. 8(10). e76775–e76775. 11 indexed citations

13.

Date, Priya, Hany K. M. Dweck, Marcus C. Stensmyr, et al.. (2013). Divergence in Olfactory Host Plant Preference in D. mojavensis in Response to Cactus Host Use. PLoS ONE. 8(7). e70027–e70027. 34 indexed citations

14.

Ayroles, Julien F., Mary Anna Carbone, Eric A. Stone, et al.. (2009). Systems genetics of complex traits in Drosophila melanogaster. Nature Genetics. 41(3). 299–307. 391 indexed citations

15.

Rollmann, Stephanie M., Michael M. Magwire, Theodore J. Morgan, et al.. (2006). Pleiotropic fitness effects of the Tre1-Gr5a region in Drosophila melanogaster. Nature Genetics. 38(7). 824–829. 28 indexed citations

16.

Edwards, Alexis C., Stephanie M. Rollmann, Theodore J. Morgan, & Trudy F. C. Mackay. (2006). Quantitative Genomics of Aggressive Behavior in Drosophila melanogaster. PLoS Genetics. 2(9). e154–e154. 152 indexed citations

17.

Mackay, Trudy F. C., Stefanie L. Heinsohn, Richard F. Lyman, et al.. (2005). Genetics and genomics of Drosophila mating behavior. Proceedings of the National Academy of Sciences. 102(suppl_1). 6622–6629. 110 indexed citations

18.

Rollmann, Stephanie M., Trudy F. C. Mackay, & Robert R. H. Anholt. (2005). Pinocchio, a novel protein expressed in the antenna, contributes to olfactory behavior inDrosophila melanogaster. Journal of Neurobiology. 63(2). 146–158. 22 indexed citations

19.

Anholt, Robert R. H., Sherman Chang, Nalini H. Kulkarni, et al.. (2003). The genetic architecture of odor-guided behavior in Drosophila: epistasis and the transcriptome. Nature Genetics. 35(2). 180–184. 116 indexed citations

20.

Rollmann, Stephanie M., Lynne D. Houck, & Richard C. Feldhoff. (1999). Proteinaceous Pheromone Affecting Female Receptivity in a Terrestrial Salamander. Science. 285(5435). 1907–1909. 153 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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