Jennifer Dearman

776 total citations
10 papers, 592 citations indexed

About

Jennifer Dearman is a scholar working on Sensory Systems, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Jennifer Dearman has authored 10 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sensory Systems, 3 papers in Cognitive Neuroscience and 3 papers in Physiology. Recurrent topics in Jennifer Dearman's work include Hearing, Cochlea, Tinnitus, Genetics (5 papers), Hearing Loss and Rehabilitation (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). Jennifer Dearman is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (5 papers), Hearing Loss and Rehabilitation (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). Jennifer Dearman collaborates with scholars based in United States, United Kingdom and Russia. Jennifer Dearman's co-authors include Jian Zuo, Zhiyong Liu, Lingli Zhang, Robert L. Hester, Lusha Xiang, Brandon J. Walters, Brandon C. Cox, Frédérique Zindy, Martine F. Roussel and Lin Gan and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

Jennifer Dearman

10 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer Dearman United States	9	371	164	150	84	83	10	592
Zahra N. Sayyid United States	10	283 0.8×	135 0.8×	106 0.7×	52 0.6×	51 0.6×	31	493
Kurt Stephan Austria	10	366 1.0×	479 2.9×	199 1.3×	38 0.5×	5 0.1×	17	949
Ha-Sheng Li United States	14	388 1.0×	119 0.7×	181 1.2×	47 0.6×	25 0.3×	20	646
Jan Walcher Germany	9	155 0.4×	243 1.5×	92 0.6×	108 1.3×	14 0.2×	10	601
Jing Qiao China	6	365 1.0×	676 4.1×	57 0.4×	284 3.4×	19 0.2×	8	963
Alexei Surguchev United States	11	106 0.3×	234 1.4×	66 0.4×	103 1.2×	17 0.2×	17	480
Josef M. Miller United States	10	519 1.4×	117 0.7×	215 1.4×	44 0.5×	18 0.2×	10	665
Ling Mei China	13	236 0.6×	212 1.3×	107 0.7×	32 0.4×	39 0.5×	29	545
Agneta Viberg Sweden	10	278 0.7×	66 0.4×	152 1.0×	23 0.3×	17 0.2×	12	368
Tahnbee Kim United States	8	159 0.4×	363 2.2×	80 0.5×	115 1.4×	4 0.0×	10	575

Countries citing papers authored by Jennifer Dearman

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Dearman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Dearman

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

All Works

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10 of 10 papers shown

Walters, Bradley J., et al.. (2017). In Vivo Interplay between p27Kip1, GATA3, ATOH1, and POU4F3 Converts Non-sensory Cells to Hair Cells in Adult Mice. Cell Reports. 19(2). 307–320. 114 indexed citations

Layman, Wanda S., et al.. (2015). Histone deacetylase inhibition protects hearing against acute ototoxicity by activating the Nf-κB pathway. Cell Death Discovery. 1(1). 31 indexed citations

Cox, Brandon C., et al.. (2014). Generation of Atoh1-rtTA transgenic mice: a tool for inducible gene expression in hair cells of the inner ear. Scientific Reports. 4(1). 6885–6885. 8 indexed citations

Walters, Brandon J., Wenwei Lin, Shiyong Diao, et al.. (2014). High-Throughput Screening Reveals Alsterpaullone, 2-Cyanoethyl as a Potent p27Kip1 Transcriptional Inhibitor. PLoS ONE. 9(3). e91173–e91173. 14 indexed citations

Liu, Zhiyong, Jie Fang, Jennifer Dearman, Lingli Zhang, & Jian Zuo. (2014). In Vivo Generation of Immature Inner Hair Cells in Neonatal Mouse Cochleae by Ectopic Atoh1 Expression. PLoS ONE. 9(2). e89377–e89377. 79 indexed citations

Liu, Zhiyong, Jennifer Dearman, Brandon C. Cox, et al.. (2012). Age-Dependent In Vivo Conversion of Mouse Cochlear Pillar and Deiters' Cells to Immature Hair Cells by Atoh1 Ectopic Expression. Journal of Neuroscience. 32(19). 6600–6610. 171 indexed citations

Dearman, Jennifer, et al.. (2009). Attenuated PGI₂synthesis in obese Zucker rats. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 296(3). R715–R721. 23 indexed citations

Xiang, Lusha, et al.. (2008). K_ATP‐mediated Vasodilation is Impaired in Obese Zucker Rats. Microcirculation. 15(6). 485–494. 29 indexed citations

Xiang, Lusha, et al.. (2008). Insulin resistance and impaired functional vasodilation in obese Zucker rats. American Journal of Physiology-Heart and Circulatory Physiology. 294(4). H1658–H1666. 71 indexed citations

10.

Dearman, Jennifer, et al.. (1983). Plasma levels of catecholamines, cortisol, and beta-endorphins in male athletes after running 26.2, 6, and 2 miles.. PubMed. 23(1). 30–8. 52 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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