Brigitte Dauwalder

2.0k total citations
26 papers, 1.5k citations indexed

About

Brigitte Dauwalder is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Brigitte Dauwalder has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 9 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Molecular Biology. Recurrent topics in Brigitte Dauwalder's work include Neurobiology and Insect Physiology Research (19 papers), Animal Behavior and Reproduction (8 papers) and Insect and Arachnid Ecology and Behavior (6 papers). Brigitte Dauwalder is often cited by papers focused on Neurobiology and Insect Physiology Research (19 papers), Animal Behavior and Reproduction (8 papers) and Insect and Arachnid Ecology and Behavior (6 papers). Brigitte Dauwalder collaborates with scholars based in United States, Japan and France. Brigitte Dauwalder's co-authors include William Mattox, Ronald L. Davis, Paul E. Hardin, Jerry H. Houl, Efthimios M. C. Skoulakis, Pyung‐Lim Han, Felipe Amaya‐Manzanares, Wangjie Yu, Hao Zheng and Anna Lazareva and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Genes & Development.

In The Last Decade

Brigitte Dauwalder

25 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brigitte Dauwalder United States 19 792 548 483 358 301 26 1.5k
Fumika N. Hamada Japan 17 991 1.3× 381 0.7× 442 0.9× 422 1.2× 243 0.8× 31 1.5k
Andrew J. Schroeder United States 14 480 0.6× 997 1.8× 443 0.9× 200 0.6× 318 1.1× 19 1.6k
Seogang Hyun South Korea 21 699 0.9× 600 1.1× 253 0.5× 298 0.8× 201 0.7× 37 1.6k
Randall S. Hewes United States 18 1.1k 1.4× 524 1.0× 338 0.7× 183 0.5× 116 0.4× 24 1.4k
Erik C. Johnson United States 19 1.3k 1.7× 365 0.7× 380 0.8× 470 1.3× 148 0.5× 30 1.7k
Yuhua Shang United States 14 1.1k 1.4× 456 0.8× 448 0.9× 817 2.3× 258 0.9× 19 1.9k
W. Daniel Tracey United States 21 1.7k 2.2× 705 1.3× 481 1.0× 229 0.6× 282 0.9× 36 2.6k
Haojiang Luan United States 14 1.0k 1.3× 510 0.9× 365 0.8× 122 0.3× 159 0.5× 18 1.3k
Suewei Lin Taiwan 17 1.1k 1.4× 370 0.7× 453 0.9× 115 0.3× 158 0.5× 27 1.3k
Hiroshi Ishimoto Japan 20 991 1.3× 367 0.7× 361 0.7× 190 0.5× 82 0.3× 28 1.3k

Countries citing papers authored by Brigitte Dauwalder

Since Specialization
Citations

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

Fields of papers citing papers by Brigitte Dauwalder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brigitte Dauwalder

This figure shows the co-authorship network connecting the top 25 collaborators of Brigitte Dauwalder. A scholar is included among the top collaborators of Brigitte Dauwalder 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 Brigitte Dauwalder. Brigitte Dauwalder 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.
2.
Dauwalder, Brigitte, et al.. (2023). The Drosophila dopamine 2‐like receptor D2R (Dop2R) is required in the blood brain barrier for male courtship. Genes Brain & Behavior. 22(1). e12836–e12836. 5 indexed citations
3.
Dauwalder, Brigitte, et al.. (2022). The nuclear receptor Hr46/Hr3 is required in the blood brain barrier of mature males for courtship. PLoS Genetics. 18(1). e1009519–e1009519. 1 indexed citations
4.
Dauwalder, Brigitte, et al.. (2018). High functional conservation of takeout family members in a courtship model system. PLoS ONE. 13(9). e0204615–e0204615. 12 indexed citations
5.
Dauwalder, Brigitte, et al.. (2016). Juvenile Hormone Is Required in Adult Males for Drosophila Courtship. PLoS ONE. 11(3). e0151912–e0151912. 50 indexed citations
6.
Chang, Peter L., et al.. (2013). Sex-Specific Signaling in the Blood–Brain Barrier Is Required for Male Courtship in Drosophila. PLoS Genetics. 9(1). e1003217–e1003217. 17 indexed citations
7.
Dauwalder, Brigitte. (2011). The Roles of Fruitless and Doublesex in the Control of Male Courtship. International review of neurobiology. 99. 87–105. 40 indexed citations
8.
Dauwalder, Brigitte, et al.. (2011). Diversification of takeout, a male-biased gene family in Drosophila. Gene. 491(2). 142–148. 18 indexed citations
9.
Dauwalder, Brigitte, et al.. (2011). The hector G-Protein Coupled Receptor Is Required in a Subset of fruitless Neurons for Male Courtship Behavior. PLoS ONE. 6(11). e28269–e28269. 17 indexed citations
10.
Dauwalder, Brigitte. (2008). Systems Behavior: Of Male Courtship, the Nervous System and Beyond in Drosophila. Current Genomics. 9(8). 517–524. 11 indexed citations
11.
Matsumoto, Akira, Maki Ukai‐Tadenuma, Rikuhiro G. Yamada, et al.. (2007). A functional genomics strategy reveals clockwork orange as a transcriptional regulator in the Drosophila circadian clock. Genes & Development. 21(13). 1687–1700. 137 indexed citations
12.
Lazareva, Anna, Gregg Roman, William Mattox, Paul E. Hardin, & Brigitte Dauwalder. (2007). A Role for the Adult Fat Body in Drosophila Male Courtship Behavior. PLoS Genetics. 3(1). e16–e16. 119 indexed citations
13.
Yu, Wangjie, Hao Zheng, Jerry H. Houl, Brigitte Dauwalder, & Paul E. Hardin. (2006). PER-dependent rhythms in CLK phosphorylation and E-box binding regulate circadian transcription. Genes & Development. 20(6). 723–733. 176 indexed citations
14.
Dauwalder, Brigitte, et al.. (2002). The Drosophila takeout gene is regulated by the somatic sex-determination pathway and affects male courtship behavior. Genes & Development. 16(22). 2879–2892. 151 indexed citations
15.
Du, Cheng, M.Elaine McGuffin, Brigitte Dauwalder, Léonard Rabinow, & William Mattox. (1998). Protein Phosphorylation Plays an Essential Role in the Regulation of Alternative Splicing and Sex Determination in Drosophila. Molecular Cell. 2(6). 741–750. 96 indexed citations
16.
Dauwalder, Brigitte. (1998). Analysis of the functional specificity of RS domains invivo. The EMBO Journal. 17(20). 6049–6060. 25 indexed citations
17.
McGuffin, M.Elaine, et al.. (1998). Autoregulation of transformer-2 Alternative Splicing Is Necessary for Normal Male Fertility in Drosophila. Genetics. 149(3). 1477–1486. 33 indexed citations
18.
Dauwalder, Brigitte, Felipe Amaya‐Manzanares, & William Mattox. (1996). A human homologue of the Drosophila sex determination factor transformer-2 has conserved splicing regulatory functions.. Proceedings of the National Academy of Sciences. 93(17). 9004–9009. 106 indexed citations
19.
Davis, Ronald L., et al.. (1995). The cyclic AMP system and Drosophila learning. PubMed. 149-150. 271–278. 103 indexed citations
20.
Davis, Ronald L. & Brigitte Dauwalder. (1991). The Drosophila dunce locus: learning and memory genes in the fly. Trends in Genetics. 7(7). 224–229. 62 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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