Elizabeth Brown

1.7k total citations
48 papers, 1.1k citations indexed

About

Elizabeth Brown is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Elizabeth Brown has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 17 papers in Molecular Biology and 12 papers in Genetics. Recurrent topics in Elizabeth Brown's work include Neurobiology and Insect Physiology Research (20 papers), Plant Molecular Biology Research (10 papers) and Insect and Arachnid Ecology and Behavior (9 papers). Elizabeth Brown is often cited by papers focused on Neurobiology and Insect Physiology Research (20 papers), Plant Molecular Biology Research (10 papers) and Insect and Arachnid Ecology and Behavior (9 papers). Elizabeth Brown collaborates with scholars based in United States, Denmark and Israel. Elizabeth Brown's co-authors include Alex C. Keene, Jeffrey F. Harper, Lisbeth R. Poulsen, Stephen C. McDowell, Maryam Rahmati Ishka, Meral Tunc‐Ozdemir, Gad Miller, Cláudia Rato, Candace T. Myers and Michael Palmgren and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Gastroenterology.

In The Last Decade

Elizabeth Brown

47 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth Brown United States 20 497 427 231 106 89 48 1.1k
Zhongyuan Zuo United States 23 668 1.3× 116 0.3× 233 1.0× 149 1.4× 64 0.7× 39 1.3k
Hongtao Qin China 12 175 0.4× 228 0.5× 318 1.4× 174 1.6× 106 1.2× 28 769
Clara Benna Italy 18 493 1.0× 177 0.4× 291 1.3× 161 1.5× 80 0.9× 44 1.3k
Niovi Santama Cyprus 24 692 1.4× 159 0.4× 372 1.6× 128 1.2× 67 0.8× 35 1.3k
Kaoru Ohno Japan 16 486 1.0× 197 0.5× 450 1.9× 130 1.2× 55 0.6× 24 1.1k
Susan E. Wilkie United Kingdom 19 951 1.9× 195 0.5× 499 2.2× 128 1.2× 234 2.6× 28 1.4k
Kuchuan Chen United States 10 668 1.3× 65 0.2× 417 1.8× 130 1.2× 33 0.4× 10 1.1k
Andrew P. Bailey United Kingdom 13 1.0k 2.1× 69 0.2× 409 1.8× 215 2.0× 65 0.7× 17 1.7k
Venkateswara R. Chintapalli United Kingdom 9 861 1.7× 173 0.4× 618 2.7× 415 3.9× 162 1.8× 11 1.6k
Luke S. Tain United Kingdom 17 670 1.3× 46 0.1× 227 1.0× 120 1.1× 43 0.5× 21 1.3k

Countries citing papers authored by Elizabeth Brown

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth Brown. 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 Elizabeth Brown. The network helps show where Elizabeth Brown may publish in the future.

Co-authorship network of co-authors of Elizabeth Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Brown. A scholar is included among the top collaborators of Elizabeth Brown 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 Elizabeth Brown. Elizabeth Brown 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.
Chesi, Alessandra, Amber Zimmerman, Matthew C. Pahl, et al.. (2023). Variant-to-gene mapping followed by cross-species genetic screening identifies GPI-anchor biosynthesis as a regulator of sleep. Science Advances. 9(1). eabq0844–eabq0844. 15 indexed citations
3.
Brown, Elizabeth, Kurtresha Worden, Yuanyuan Li, Pavel Mašek, & Alex C. Keene. (2023). Measurement of Reflexive Feeding Response inDrosophila. Cold Spring Harbor Protocols. 2023(6). pdb.prot108092–pdb.prot108092. 3 indexed citations
4.
Brown, Elizabeth, Kurtresha Worden, Yuanyuan Li, Pavel Mašek, & Alex C. Keene. (2023). Measurement of Taste Memory inDrosophila. Cold Spring Harbor Protocols. 2023(6). pdb.prot108093–pdb.prot108093. 1 indexed citations
5.
Robinson, Wayne, Maureen Tanner, Evan Lloyd, et al.. (2022). Characterizing the genetic basis of trait evolution in the Mexican cavefish. Evolution & Development. 24(5). 131–144. 8 indexed citations
6.
Amcheslavsky, Alla, Elizabeth Brown, Tom V. Lee, et al.. (2022). Toll-9 interacts with Toll-1 to mediate a feedback loop during apoptosis-induced proliferation in Drosophila. Cell Reports. 39(7). 110817–110817. 14 indexed citations
7.
Ishka, Maryam Rahmati, et al.. (2021). Arabidopsis Ca2+-ATPases 1, 2, and 7 in the endoplasmic reticulum contribute to growth and pollen fitness. PLANT PHYSIOLOGY. 185(4). 1966–1985. 37 indexed citations
8.
Brown, Elizabeth, Tamara Boto, Scarlet J. Park, et al.. (2021). Neurofibromin regulates metabolic rate via neuronal mechanisms in Drosophila. Nature Communications. 12(1). 4285–4285. 19 indexed citations
9.
Kim, Su‐Hwa, et al.. (2021). A Ratiometric Calcium Reporter CGf Reveals Calcium Dynamics Both in the Single Cell and Whole Plant Levels Under Heat Stress. Frontiers in Plant Science. 12. 777975–777975. 17 indexed citations
10.
11.
Brown, Elizabeth, et al.. (2020). Drosophila insulin-like peptide 2 mediates dietary regulation of sleep intensity. PLoS Genetics. 16(3). e1008270–e1008270. 37 indexed citations
12.
Brown, Elizabeth, et al.. (2019). Dietary fatty acids promote sleep through a taste‐independent mechanism. Genes Brain & Behavior. 19(4). e12629–e12629. 9 indexed citations
13.
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
14.
Yurgel, Maria E., et al.. (2018). Ade2 Functions in the Drosophila Fat Body To Promote Sleep. G3 Genes Genomes Genetics. 8(11). 3385–3395. 11 indexed citations
15.
16.
McDowell, Stephen C., et al.. (2015). Loss of the Arabidopsis thaliana P4-ATPases ALA6 and ALA7 impairs pollen fitness and alters the pollen tube plasma membrane. Frontiers in Plant Science. 6. 197–197. 28 indexed citations
17.
Poulsen, Lisbeth R., Rosa L. López‐Marqués, Pai Pedas, et al.. (2015). A phospholipid uptake system in the model plant Arabidopsis thaliana. Nature Communications. 6(1). 7649–7649. 78 indexed citations
18.
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
19.
Tunc‐Ozdemir, Meral, Cláudia Rato, Elizabeth Brown, et al.. (2013). Cyclic Nucleotide Gated Channels 7 and 8 Are Essential for Male Reproductive Fertility. PLoS ONE. 8(2). e55277–e55277. 73 indexed citations
20.
Tunc‐Ozdemir, Meral, Maryam Rahmati Ishka, Elizabeth Brown, et al.. (2012). A Cyclic Nucleotide-Gated Channel (CNGC16) in Pollen Is Critical for Stress Tolerance in Pollen Reproductive Development    . PLANT PHYSIOLOGY. 161(2). 1010–1020. 127 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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