Micheal L. Dent

1.8k total citations
68 papers, 974 citations indexed

About

Micheal L. Dent is a scholar working on Developmental Biology, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Micheal L. Dent has authored 68 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Developmental Biology, 24 papers in Ecology and 23 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Micheal L. Dent's work include Animal Vocal Communication and Behavior (47 papers), Marine animal studies overview (22 papers) and Hearing, Cochlea, Tinnitus, Genetics (18 papers). Micheal L. Dent is often cited by papers focused on Animal Vocal Communication and Behavior (47 papers), Marine animal studies overview (22 papers) and Hearing, Cochlea, Tinnitus, Genetics (18 papers). Micheal L. Dent collaborates with scholars based in United States, Germany and Denmark. Micheal L. Dent's co-authors include Robert J. Dooling, Laurel A. Screven, Marjorie R. Leek, Kelly E. Radziwon, Otto Gleich, Ole Næsbye Larsen, Brenda M. Ryals, Matthew A. Xu‐Friedman, Barbara Shinn‐Cunningham and Virginia Best and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Micheal L. Dent

65 papers receiving 951 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Micheal L. Dent United States 18 516 434 309 281 245 68 974
Steffen R. Hage Germany 21 850 1.6× 543 1.3× 109 0.4× 382 1.4× 368 1.5× 46 1.4k
Joan M. Sinnott United States 20 523 1.0× 424 1.0× 150 0.5× 257 0.9× 241 1.0× 58 1.0k
Susanne Radtke‐Schuller Germany 19 279 0.5× 768 1.8× 270 0.9× 315 1.1× 205 0.8× 43 1.3k
Merri J. Rosen United States 14 149 0.3× 543 1.3× 126 0.4× 130 0.5× 107 0.4× 27 790
Xinde Sun China 20 201 0.4× 570 1.3× 362 1.2× 295 1.0× 201 0.8× 53 985
Thane Fremouw United States 17 439 0.9× 569 1.3× 166 0.5× 381 1.4× 283 1.2× 29 1.1k
Gimseong Koay United States 20 449 0.9× 242 0.6× 230 0.7× 486 1.7× 445 1.8× 36 928
Hugo Cousillas France 19 397 0.8× 204 0.5× 153 0.5× 314 1.1× 281 1.1× 44 780
Julie E. Elie United States 15 536 1.0× 176 0.4× 34 0.1× 472 1.7× 375 1.5× 22 799
Joachim Ostwald Germany 23 444 0.9× 875 2.0× 704 2.3× 456 1.6× 437 1.8× 31 1.7k

Countries citing papers authored by Micheal L. Dent

Since Specialization
Citations

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

Fields of papers citing papers by Micheal L. Dent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Micheal L. Dent. 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 Micheal L. Dent. The network helps show where Micheal L. Dent may publish in the future.

Co-authorship network of co-authors of Micheal L. Dent

This figure shows the co-authorship network connecting the top 25 collaborators of Micheal L. Dent. A scholar is included among the top collaborators of Micheal L. Dent 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 Micheal L. Dent. Micheal L. Dent 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.
Lauer, Amanda M., et al.. (2024). The perception of ultrasonic vocalizations by laboratory mice following intense noise exposures. The Journal of the Acoustical Society of America. 155(2). 867–878. 1 indexed citations
2.
Schrode, Katrina M., Micheal L. Dent, & Amanda M. Lauer. (2022). Sources of variability in auditory brainstem response thresholds in a mouse model of noise-induced hearing loss. The Journal of the Acoustical Society of America. 152(6). 3576–3582. 4 indexed citations
3.
Screven, Laurel A., et al.. (2022). Effects of Noise Exposure and Aging on Behavioral Tone Detection in Quiet and Noise by Mice. eNeuro. 9(3). ENEURO.0391–21.2022. 9 indexed citations
4.
Manohar, Senthilvelan, et al.. (2021). Long term changes to auditory sensitivity following blast trauma in mice. Hearing Research. 403. 108201–108201. 4 indexed citations
5.
Dent, Micheal L., et al.. (2020). Attention capture in birds performing an auditory streaming task. PLoS ONE. 15(6). e0235420–e0235420. 2 indexed citations
6.
Paul, Matthew J., et al.. (2019). Sex differences in auditory brainstem response audiograms from vasopressin-deficient Brattleboro and wild-type Long-Evans rats. PLoS ONE. 14(8). e0222096–e0222096. 5 indexed citations
7.
Dent, Micheal L., et al.. (2019). The effects of age and sex on the detection of pure tones by adult CBA/CaJ mice (Mus musculus). Journal of Neuroscience Research. 98(9). 1731–1744. 16 indexed citations
8.
Screven, Laurel A. & Micheal L. Dent. (2019). Social isolation produces no effect on ultrasonic vocalization production in adult female CBA/CaJ mice. PLoS ONE. 14(3). e0213068–e0213068. 8 indexed citations
9.
Screven, Laurel A. & Micheal L. Dent. (2019). Perception of Ultrasonic Vocalizations by Socially Housed and Isolated Mice. eNeuro. 6(5). ENEURO.0049–19.2019. 14 indexed citations
10.
Screven, Laurel A., et al.. (2018). CBA/CaJ mouse ultrasonic vocalizations depend on prior social experience. PLoS ONE. 13(6). e0197774–e0197774. 27 indexed citations
11.
Screven, Laurel A. & Micheal L. Dent. (2018). Preference in female laboratory mice is influenced by social experience. Behavioural Processes. 157. 171–179. 7 indexed citations
12.
Dent, Micheal L., et al.. (2018). Intensity difference limens in adult CBA/CaJ mice (Mus musculus). Behavioural Processes. 148. 46–48. 3 indexed citations
13.
Dent, Micheal L., et al.. (2018). A Brief history of avian bioacoustics. The Journal of the Acoustical Society of America. 143(3_Supplement). 1766–1766. 1 indexed citations
14.
Dent, Micheal L., et al.. (2016). The effects of aging and sex on detection of ultrasonic vocalizations by adult CBA/CaJ mice (Mus musculus). Hearing Research. 341. 119–129. 19 indexed citations
15.
Radziwon, Kelly E., et al.. (2015). Audiograms, gap detection thresholds, and frequency difference limens in cannabinoid receptor 1 knockout mice. Hearing Research. 332. 217–222. 11 indexed citations
16.
Dent, Micheal L., et al.. (2014). Discrimination of partial from whole ultrasonic vocalizations using a go/no-go task in mice. The Journal of the Acoustical Society of America. 136(6). 3401–3409. 19 indexed citations
17.
Dent, Micheal L., Virginia Best, Erol J. Ozmeral, et al.. (2009). Spatial unmasking of birdsong in zebra finches (Taeniopygia guttata) and budgerigars (Melopsittacus undulatus).. Journal of comparative psychology. 123(4). 357–367. 25 indexed citations
18.
Dent, Micheal L. & Robert J. Dooling. (2004). The Precedence Effect in Three Species of Birds (Melopsittacus undulatus, Serinus canaria, and Taeniopygia guttata).. Journal of comparative psychology. 118(3). 325–331. 36 indexed citations
19.
Farabaugh, Susan M., Micheal L. Dent, & Robert J. Dooling. (1998). Hearing and vocalizations of wild-caught Australian budgerigars (Melopsittacus undulatus).. Journal of comparative psychology. 112(1). 74–81. 23 indexed citations
20.
Dent, Micheal L.. (1968). Nigeria: the task of conflict resolution. 24(7). 269–280.

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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