David J. Bailey

1.2k total citations
27 papers, 1.0k citations indexed

About

David J. Bailey is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, David J. Bailey has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Developmental Biology, 9 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Ecology. Recurrent topics in David J. Bailey's work include Animal Vocal Communication and Behavior (10 papers), Animal Behavior and Reproduction (9 papers) and Marine animal studies overview (7 papers). David J. Bailey is often cited by papers focused on Animal Vocal Communication and Behavior (10 papers), Animal Behavior and Reproduction (9 papers) and Marine animal studies overview (7 papers). David J. Bailey collaborates with scholars based in United States, United Kingdom and Canada. David J. Bailey's co-authors include Juli Wade, Colin J. Saldanha, Fred J. Helmstetter, Valsala Haridas, Jordan U. Gutterman, Gamini S. Jayatilake, Kalpana Mujoo, William Sun, Jeansok J. Kim and Richard F. Thompson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Endocrinology and Neuroscience.

In The Last Decade

David J. Bailey

27 papers receiving 991 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Bailey United States 15 338 269 269 200 165 27 1.0k
Karen Renata Matos Oliveira Brazil 14 115 0.3× 72 0.3× 6 0.0× 60 0.3× 84 0.5× 22 666
P.A. Ferchmin Puerto Rico 21 490 1.4× 22 0.1× 4 0.0× 23 0.1× 330 2.0× 57 1.2k
N. Viswanathan United States 16 579 1.7× 39 0.1× 3 0.0× 22 0.1× 351 2.1× 31 2.3k
Wei Fun Cheong Singapore 17 511 1.5× 107 0.4× 3 0.0× 59 0.3× 185 1.1× 19 1.2k
E Shapiro United States 20 510 1.5× 70 0.3× 4 0.0× 73 0.4× 804 4.9× 28 1.1k
Paul S. Guth United States 26 777 2.3× 20 0.1× 16 0.1× 40 0.2× 585 3.5× 90 1.9k
Vincent A. Chiappinelli United States 28 2.3k 6.7× 29 0.1× 16 0.1× 9 0.0× 1.2k 7.3× 67 2.8k
Marianne Bernard France 13 313 0.9× 21 0.1× 6 0.0× 13 0.1× 462 2.8× 28 875
Susan P. Rohrer United States 27 902 2.7× 39 0.1× 2 0.0× 70 0.3× 348 2.1× 60 2.7k
Frank Ungar United States 18 278 0.8× 44 0.2× 2 0.0× 53 0.3× 75 0.5× 81 972

Countries citing papers authored by David J. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by David J. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Bailey. 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 David J. Bailey. The network helps show where David J. Bailey may publish in the future.

Co-authorship network of co-authors of David J. Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Bailey. A scholar is included among the top collaborators of David J. Bailey 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 David J. Bailey. David J. Bailey 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.
Bailey, David J., et al.. (2017). Hippocampal Aromatization Modulates Spatial Memory and Characteristics of the Synaptic Membrane in the Male Zebra Finch. Endocrinology. 158(4). 852–859. 29 indexed citations
2.
Bailey, David J. & Colin J. Saldanha. (2015). The importance of neural aromatization in the acquisition, recall, and integration of song and spatial memories in passerines. Hormones and Behavior. 74. 116–124. 25 indexed citations
3.
Ottem, Erich N., David J. Bailey, Cynthia L. Jordan, & S. Marc Breedlove. (2012). With a little help from my friends: Androgens tap BDNF signaling pathways to alter neural circuits. Neuroscience. 239. 124–138. 20 indexed citations
4.
5.
Bailey, David J., Juli Wade, & Colin J. Saldanha. (2009). Hippocampal lesions impair spatial memory performance, but not song—A developmental study of independent memory systems in the zebra finch. Developmental Neurobiology. 69(8). 491–504. 29 indexed citations
6.
Riddle, Lance A., Raynella M. Connatser, Michael J. Sepaniak, & David J. Bailey. (2007). A Comparative Study of the Enantiomeric Separation of Labeled Amino Acids with Cyclodextrins and Mixed Micelles in Capillary Electrophoresis. Journal of Chromatographic Science. 45(6). 330–339. 6 indexed citations
7.
Bailey, David J., et al.. (2007). Inhibition of injury‐induced glial aromatase reveals a wave of secondary degeneration in the songbird brain. Glia. 56(1). 97–105. 48 indexed citations
8.
Bailey, David J. & Juli Wade. (2006). Sexual dimorphism in song-induced ZENK expression in the medial striatum of juvenile zebra finches. Neuroscience Letters. 401(1-2). 86–91. 11 indexed citations
9.
Bailey, David J. & Juli Wade. (2005). FOS and ZENK responses in 45-day-old zebra finches vary with auditory stimulus and brain region, but not sex. Behavioural Brain Research. 162(1). 108–115. 54 indexed citations
10.
11.
Bailey, David J. & Juli Wade. (2003). Differential expression of the immediate early genes FOS and ZENK following auditory stimulation in the juvenile male and female zebra finch. Molecular Brain Research. 116(1-2). 147–154. 85 indexed citations
12.
Bailey, David J., et al.. (2002). The hippocampus and caudomedial neostriatum show selective responsiveness to conspecific song in the female zebra finch. Journal of Neurobiology. 52(1). 43–51. 97 indexed citations
13.
Bailey, David J., Julie E. Tetzlaff, James M. Cook, Xiaohui He, & Fred J. Helmstetter. (2002). Effects of Hippocampal Injections of a Novel Ligand Selective for the α5β2γ2 Subunits of the GABA/Benzodiazepine Receptor on Pavlovian Conditioning. Neurobiology of Learning and Memory. 78(1). 1–10. 37 indexed citations
14.
15.
Bailey, David J. & John G. Dorsey. (2001). Linear solvation energy relationships of mixed micelles of sodium dodecyl sulfate and decanol: towards a better model of octanol/water partitioning. Journal of Chromatography A. 919(1). 181–194. 18 indexed citations
16.
Bailey, David J., Jeansok J. Kim, William Sun, Richard F. Thompson, & Fred J. Helmstetter. (1999). Acquisition of fear conditioning in rats requires the synthesis of mRNA in the amygdala.. Behavioral Neuroscience. 113(2). 276–282. 121 indexed citations
17.
Bailey, David J. & John G. Dorsey. (1999). pH effects on micelle–water partitioning determined by micellar electrokinetic chromatography. Journal of Chromatography A. 852(2). 559–571. 10 indexed citations
18.
Bailey, David J., David O’Hagan, & Mustafa Tavaslı. (1997). A short synthesis of (S)-2-(diphenylmethyl)pyrrolidine, a chiral solvating agent for NMR analysis. Tetrahedron Asymmetry. 8(1). 149–153. 47 indexed citations
19.
Chung, Bong Hyun, David J. Bailey, & Frances H. Arnold. (1994). [15] Metal affinity partitioning. Methods in enzymology on CD-ROM/Methods in enzymology. 228. 167–179. 14 indexed citations
20.
Doggett, N.S., et al.. (1977). Estrogen potentiating activity of two spiro compounds having approximately similar molecular dimensions to stilbestrol. Journal of Medicinal Chemistry. 20(2). 318–320. 4 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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