Danielle R. Lenz

19 total papers · 934 total citations
16 papers, 691 citations indexed

About

Danielle R. Lenz is a scholar working on Sensory Systems, Molecular Biology and Cancer Research. According to data from OpenAlex, Danielle R. Lenz has authored 16 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sensory Systems, 6 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Danielle R. Lenz's work include Hearing, Cochlea, Tinnitus, Genetics (12 papers), Cancer-related molecular mechanisms research (3 papers) and Vestibular and auditory disorders (2 papers). Danielle R. Lenz is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (12 papers), Cancer-related molecular mechanisms research (3 papers) and Vestibular and auditory disorders (2 papers). Danielle R. Lenz collaborates with scholars based in Israel, United States and Germany. Danielle R. Lenz's co-authors include Karen B. Avraham, Albert S.B. Edge, Amiel A. Dror, Helmut Segner, Dalton McLean, Xiaolei Yin, Róbert Langer, Will J. McLean, Jeffrey M. Karp and Lin Lü and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Danielle R. Lenz

14 papers receiving 680 citations

Author Peers

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

Author						Papers	Cites
Danielle R. Lenz	398	341	115	93	91	16	691
Robert Esterberg	301 0.8×	285 0.8×	89 0.8×	60 0.6×	35 0.4×	13	598
Tzy-Wen L. Gong	290 0.7×	219 0.6×	107 0.9×	49 0.5×	82 0.9×	17	566
Carlene Brandon	225 0.6×	415 1.2×	95 0.8×	69 0.7×	28 0.3×	15	647
C. Möller	354 0.9×	312 0.9×	181 1.6×	38 0.4×	65 0.7×	21	690
Andrew M. Mikosz	220 0.6×	392 1.1×	30 0.3×	87 0.9×	50 0.5×	13	637
Leïla Abbas	290 0.7×	400 1.2×	62 0.5×	39 0.4×	95 1.0×	14	695
Huizhan Liu	477 1.2×	237 0.7×	102 0.9×	137 1.5×	146 1.6×	35	647
Suoqiang Zhai	440 1.1×	409 1.2×	146 1.3×	42 0.5×	114 1.3×	42	779
Dongguang Wei	286 0.7×	293 0.9×	74 0.6×	32 0.3×	94 1.0×	32	627
Julie A. Harris	287 0.7×	220 0.6×	102 0.9×	41 0.4×	24 0.3×	11	755

Countries citing papers authored by Danielle R. Lenz

Since Specialization

Citations

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

Fields of papers citing papers by Danielle R. Lenz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle R. Lenz. 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 Danielle R. Lenz. The network helps show where Danielle R. Lenz may publish in the future.

Co-authorship network of co-authors of Danielle R. Lenz

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle R. Lenz. A scholar is included among the top collaborators of Danielle R. Lenz 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 Danielle R. Lenz. Danielle R. Lenz 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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