Daniel J. Lee

3.2k total citations
117 papers, 2.2k 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 117 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Cognitive Neuroscience, 48 papers in Sensory Systems and 34 papers in Otorhinolaryngology. Recurrent topics in Daniel J. Lee's work include Hearing, Cochlea, Tinnitus, Genetics (48 papers), Hearing Loss and Rehabilitation (48 papers) and Ear Surgery and Otitis Media (33 papers). Daniel J. Lee is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (48 papers), Hearing Loss and Rehabilitation (48 papers) and Ear Surgery and Otitis Media (33 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, M. Christian Brown, Barbara S. Herrmann, Alyson B. Kaplan, Ashton E. Lehmann, Michael S. Cohen, Sidharth V. Puram, Daniel S. Roberts and Samuel R. Barber 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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Lee United States 26 963 790 555 400 322 117 2.2k
Stefan Dazert Germany 24 715 0.7× 847 1.1× 830 1.5× 390 1.0× 237 0.7× 213 2.5k
Antti A. Aarnisalo Finland 24 414 0.4× 418 0.5× 518 0.9× 259 0.6× 301 0.9× 92 1.7k
Sharon L. Cushing Canada 28 1.2k 1.3× 1.0k 1.3× 439 0.8× 253 0.6× 99 0.3× 133 2.4k
F. Venail France 23 948 1.0× 803 1.0× 522 0.9× 271 0.7× 66 0.2× 85 1.8k
Ricardo Ferreira Bento Brazil 29 1.4k 1.4× 1.2k 1.5× 844 1.5× 460 1.1× 158 0.5× 298 3.1k
Harrison W. Lin United States 28 1.1k 1.1× 1.4k 1.8× 415 0.7× 541 1.4× 99 0.3× 135 3.6k
Charles J. Limb United States 36 2.2k 2.3× 859 1.1× 282 0.5× 405 1.0× 142 0.4× 119 3.8k
Brendan P. O’Connell United States 28 1.6k 1.6× 1.3k 1.7× 867 1.6× 427 1.1× 141 0.4× 116 3.1k
Yang‐Sun Cho South Korea 28 770 0.8× 857 1.1× 664 1.2× 436 1.1× 63 0.2× 149 2.4k
Liliana Colletti Italy 26 1.4k 1.4× 1.0k 1.3× 873 1.6× 232 0.6× 66 0.2× 48 1.9k

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

20 of 20 papers shown
1.
Fishman, Elliot K., Daniel J. Lee, Linda C. Chu, & Steven P. Rowe. (2025). The Academic Mission Starts, or Ends, at the Top. Journal of the American College of Radiology. 23(2). 318–319.
2.
Wood, Christopher G., Anat Stemmer‐Rachamimov, Daniel J. Lee, et al.. (2025). Increased Hemorrhage During Excision of Bevacizumab‐Treated NF2 ‐Related Vestibular Schwannomas. The Laryngoscope. 135(11). 4355–4363.
3.
4.
Bartholomew, Ryan A., et al.. (2024). Association Between Superior Canal Dehiscence Syndrome and Anxiety and Depressive Disorders. The Laryngoscope. 134(9). 3879–3880. 1 indexed citations
5.
Bartholomew, Ryan A., et al.. (2024). Symptomatology in Unilateral Versus Bilateral Superior Canal Dehiscence Patients Undergoing Unilateral Surgery. Otolaryngology. 171(5). 1505–1510.
6.
Bartholomew, Ryan A., et al.. (2024). Diagnostic Yield of Patients Undergoing Evaluation of Possible Superior Canal Dehiscence. The Laryngoscope. 134(9). 4095–4100. 1 indexed citations
7.
Lacour, Stéphanie P., et al.. (2023). Sensitivity to Pulse Rate and Amplitude Modulation in an Animal Model of the Auditory Brainstem Implant (ABI). Journal of the Association for Research in Otolaryngology. 24(3). 365–384. 3 indexed citations
8.
Lee, Jae-Ik, et al.. (2022). Magnetic stimulation allows focal activation of the mouse cochlea. eLife. 11. 10 indexed citations
9.
Marx, Brian P., Daniel J. Lee, Sonya B. Norman, et al.. (2021). Reliable and clinically significant change in the clinician-administered PTSD Scale for DSM-5 and PTSD Checklist for DSM-5 among male veterans.. Psychological Assessment. 34(2). 197–203. 102 indexed citations
10.
Misurelli, Sara M., et al.. (2021). Systematic Comparison of Trial Exclusion Criteria for Pupillometry Data Analysis in Individuals With Single-Sided Deafness and Normal Hearing. Trends in Hearing. 25. 1851326600–1851326600. 9 indexed citations
11.
Chari, Divya A., et al.. (2021). Current Trends, Controversies, and Future Directions in the Evaluation and Management of Superior Canal Dehiscence Syndrome. Frontiers in Neurology. 12. 638574–638574. 24 indexed citations
12.
Cheng, Yen‐Fu, Jingrong Lü, Ariel Edward Hight, et al.. (2019). Increasing the expression level of ChR2 enhances the optogenetic excitability of cochlear neurons. Journal of Neurophysiology. 122(5). 1962–1974. 16 indexed citations
13.
Wong, Kevin, Ruwan Kiringoda, Vivek V. Kanumuri, et al.. (2019). Effect of anesthesia on evoked auditory responses in pediatric auditory brainstem implant surgery. The Laryngoscope. 130(2). 507–513. 4 indexed citations
14.
Hight, Ariel Edward, et al.. (2019). Auditory brainstem stimulation with a conformable microfabricated array elicits responses with tonotopically organized components. Hearing Research. 377. 339–352. 7 indexed citations
15.
16.
Kozin, Elliott D., Brian M. Lin, Kevin Wong, et al.. (2017). Temporal bone computed tomography findings associated with feasibility of endoscopic ear surgery. American Journal of Otolaryngology. 38(6). 698–703. 11 indexed citations
17.
Kaplan, Alyson B., Elliott D. Kozin, Sidharth V. Puram, et al.. (2014). Auditory brainstem implant candidacy in the United States in children 0–17 years old. International Journal of Pediatric Otorhinolaryngology. 79(3). 310–315. 19 indexed citations
18.
Niesten, Marlien E.F., Christof Stieger, Daniel J. Lee, et al.. (2014). Assessment of the Effects of Superior Canal Dehiscence Location and Size on Intracochlear Sound Pressures. Audiology and Neurotology. 20(1). 62–71. 33 indexed citations
19.
Hancock, Kenneth E., et al.. (2014). Auditory responses to electric and infrared neural stimulation of the rat cochlear nucleus. Hearing Research. 310. 69–75. 46 indexed citations
20.
Lee, Daniel J., Ronald K. de Venecia, John J. Guinan, & M. Christian Brown. (2006). Central auditory pathways mediating the rat middle ear muscle reflexes. The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology. 288A(4). 358–369. 20 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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