Nicholas L. Deep

50 papers receiving 840 citations

Peers

Nicholas L. Deep
Comparison fields: 5 of 77
  • Otorhinolaryngology 83
  • Sensory Systems 81
  • Cognitive Neuroscience 212
  • Neurology 84
  • Speech and Hearing 37
Replace Ravi N. Samy with:
Ravi N. Samy United States
Kevin A. Peng United States
Victor Vital Greece
Michael J. Wareing United Kingdom
Federico Maria Gioacchini Italy
Jafar Hamzavi Austria
Masahiro Okada Japan
Bülent Satar Türkiye
Hayoung Byun South Korea
Won‐Sang Lee South Korea
Nicholas L. Deep relative to Ravi N. Samy United States Ravi N. Samy's profile →
Citations per field
00.5×
Ravi N. Samy · 1×
Citations per year

Countries citing papers authored by Nicholas L. Deep

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas L. Deep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas L. Deep. 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 Nicholas L. Deep. The network helps show where Nicholas L. Deep may publish in the future.

Co-authors

The 25 scholars most cited alongside Nicholas L. Deep, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nicholas L. Deep Line = papers co-authored together Nicholas L. Deep links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011103
2 201291
3 201867
4 202051
5 201250
6 201640
7 201334
8 201333
9 202030
10 202027
11 202123
12 202122
13 201422
14 201619
15 202015
16 201514
17 201914
18 201614
19 202214
20 201713

About Nicholas L. Deep

Nicholas L. Deep is a scholar working on Cognitive Neuroscience, Otorhinolaryngology, Neurology, Epidemiology and Oncology, having authored 51 papers that have together received 853 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (14 papers), Ear Surgery and Otitis Media (6 papers), Meningioma and schwannoma management (5 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Facial Nerve Paralysis Treatment and Research (3 papers), Ear and Head Tumors (3 papers), Vestibular and auditory disorders (3 papers) and Anesthesia and Sedative Agents (2 papers). The work is most often cited by research in Otorhinolaryngology (83 citations), Sensory Systems (81 citations), Cognitive Neuroscience (212 citations), Neurology (84 citations) and Speech and Hearing (37 citations). Nicholas L. Deep has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include J. Thomas Roland, Farrell O. Mendelsohn, Daniel S. Atherton, Eben L. Rosenthal, Matthew L. Carlson, Kurt R. Zinn, Daniel Jethanamest, Susan B. Waltzman, Larissa Sweeny and David R. Friedmann. Their work appears in journals such as Otology & Neurotology, The Laryngoscope, American Journal of Otolaryngology, Operative Neurosurgery and Otolaryngology.

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