Jennifer Dearman

13 total papers · 775 total citations
10 papers, 588 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 588 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, Lingli Zhang, Zhiyong Liu, Robert L. Hester, Lusha Xiang, Brandon J. Walters, Frédérique Zindy, Martine F. Roussel, Brandon C. Cox and Olivier Ayrault 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 582 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jennifer Dearman 368 163 146 84 83 10 588
Bo Ding 353 1.0× 189 1.2× 154 1.1× 60 0.7× 33 0.4× 19 646
Lance Zirpel 329 0.9× 210 1.3× 102 0.7× 32 0.4× 29 0.3× 22 638
Yoshimitsu Ohinata 498 1.4× 103 0.6× 154 1.1× 34 0.4× 22 0.3× 11 676
Annelie Nordin 126 0.3× 160 1.0× 69 0.5× 60 0.7× 51 0.6× 16 542
Ha-Sheng Li 388 1.1× 119 0.7× 181 1.2× 47 0.6× 25 0.3× 20 646
Yong Wang 522 1.4× 224 1.4× 245 1.7× 19 0.2× 15 0.2× 22 692
Grit Taschenberger 103 0.3× 209 1.3× 73 0.5× 76 0.9× 7 0.1× 17 693
Jan Walcher 155 0.4× 243 1.5× 90 0.6× 108 1.3× 14 0.2× 10 597
F M Matschinsky 268 0.7× 241 1.5× 106 0.7× 70 0.8× 7 0.1× 16 660
Claudia Braig 400 1.1× 252 1.5× 138 0.9× 11 0.1× 22 0.3× 8 571

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026