Jennifer Resnik

19 total papers · 1.2k total citations
11 papers, 769 citations indexed

About

Jennifer Resnik is a scholar working on Cognitive Neuroscience, Sensory Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jennifer Resnik has authored 11 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 6 papers in Sensory Systems and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jennifer Resnik's work include Neural dynamics and brain function (7 papers), Hearing, Cochlea, Tinnitus, Genetics (6 papers) and Hearing Loss and Rehabilitation (3 papers). Jennifer Resnik is often cited by papers focused on Neural dynamics and brain function (7 papers), Hearing, Cochlea, Tinnitus, Genetics (6 papers) and Hearing Loss and Rehabilitation (3 papers). Jennifer Resnik collaborates with scholars based in Israel, United States and China. Jennifer Resnik's co-authors include Daniel B. Polley, Rony Paz, Anna R. Chambers, Y. Yuan, Jonathon P. Whitton, Albert S.B. Edge, M. Charles Liberman, Noam Sobel, Sandra Romero Pinto and Uri Livneh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Jennifer Resnik

10 papers receiving 762 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 Resnik 577 446 115 114 103 11 769
Kari Suzanne Kraus 451 0.8× 533 1.2× 103 0.9× 53 0.5× 122 1.2× 15 711
Jennifer L. Parrish 567 1.0× 638 1.4× 71 0.6× 52 0.5× 142 1.4× 8 841
Inna Meltser 310 0.5× 578 1.3× 46 0.4× 77 0.7× 135 1.3× 17 806
Kelly E. Radziwon 594 1.0× 642 1.4× 35 0.3× 32 0.3× 130 1.3× 24 818
Daniel D. Kurylo 587 1.0× 147 0.3× 111 1.0× 58 0.5× 56 0.5× 36 754
James H. Dewson 488 0.8× 176 0.4× 123 1.1× 56 0.5× 41 0.4× 23 703
Alexander V. Galazyuk 626 1.1× 630 1.4× 88 0.8× 35 0.3× 75 0.7× 40 896
Lucy A. Anderson 691 1.2× 343 0.8× 138 1.2× 54 0.5× 48 0.5× 21 858
E.‐Michael Ostapoff 462 0.8× 575 1.3× 206 1.8× 63 0.6× 62 0.6× 23 829
Anna R. Chambers 648 1.1× 327 0.7× 268 2.3× 52 0.5× 101 1.0× 17 789

Countries citing papers authored by Jennifer Resnik

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Resnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Resnik

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

All Works

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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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