Daniel J. Lee

155 total papers · 3.1k total citations
115 papers, 2.1k citations indexed

About

Daniel J. Lee is a scholar working on Cognitive Neuroscience, Sensory Systems and Otorhinolaryngology. According to data from OpenAlex, Daniel J. Lee has authored 115 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Cognitive Neuroscience, 48 papers in Sensory Systems and 33 papers in Otorhinolaryngology. Recurrent topics in Daniel J. Lee's work include Hearing, Cochlea, Tinnitus, Genetics (48 papers), Hearing Loss and Rehabilitation (47 papers) and Ear Surgery and Otitis Media (32 papers). Daniel J. Lee is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (48 papers), Hearing Loss and Rehabilitation (47 papers) and Ear Surgery and Otitis Media (32 papers). Daniel J. Lee collaborates with scholars based in United States, Switzerland and United Kingdom. Daniel J. Lee's co-authors include Elliott D. Kozin, Aaron K. Remenschneider, Barbara S. Herrmann, M. Christian Brown, Alyson B. Kaplan, Ashton E. Lehmann, Michael S. Cohen, Sidharth V. Puram, Daniel S. Roberts and Sarah F. Poissant and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Daniel J. Lee

111 papers receiving 2.1k citations

Author Peers

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

Author						Papers	Cites
Daniel J. Lee	952	786	550	394	318	115	2.1k
Stefan Dazert	697 0.7×	838 1.1×	829 1.5×	390 1.0×	236 0.7×	212	2.5k
José N. Fayad	1.3k 1.4×	1.2k 1.5×	950 1.7×	390 1.0×	115 0.4×	90	2.6k
Antti A. Aarnisalo	409 0.4×	412 0.5×	515 0.9×	257 0.7×	303 1.0×	92	1.7k
Robert Mlynski	880 0.9×	628 0.8×	933 1.7×	495 1.3×	88 0.3×	165	2.0k
Marcus D. Atlas	804 0.8×	783 1.0×	1.3k 2.3×	697 1.8×	117 0.4×	137	3.1k
Ricardo Ferreira Bento	1.4k 1.4×	1.2k 1.5×	841 1.5×	457 1.2×	157 0.5×	297	3.1k
Brendan P. O’Connell	1.5k 1.6×	1.3k 1.7×	860 1.6×	423 1.1×	140 0.4×	116	3.1k
Luca Bruschini	470 0.5×	383 0.5×	449 0.8×	326 0.8×	106 0.3×	131	2.0k
Manohar Bance	924 1.0×	913 1.2×	1.1k 2.0×	497 1.3×	109 0.3×	237	3.3k
Simón I. Angeli	835 0.9×	1.3k 1.7×	834 1.5×	379 1.0×	84 0.3×	120	2.7k

Countries citing papers authored by Daniel J. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Lee. 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 Daniel J. Lee. The network helps show where Daniel J. Lee may publish in the future.

Co-authorship network of co-authors of Daniel J. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Lee. A scholar is included among the top collaborators of Daniel J. Lee 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 Daniel J. Lee. Daniel J. Lee 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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