Daniel J. Brown

1.6k citations
71 papers · 1.0k · h-index 18

Impact in

    • Hearing, Cochlea, Tinnitus, Genetics
  • Neurology top 2%
    • Vestibular and auditory disorders
    • Intracranial Aneurysms: Treatment and Complications
    • Traumatic Brain Injury and Neurovascular Disturbances

Papers in

Daniel J. Brown

68 papers receiving 957 citations

Peers

Daniel J. Brown
Comparison fields: 5 of 113
  • Sensory Systems 349
  • Neurology 388
  • Otorhinolaryngology 51
  • Cognitive Neuroscience 201
  • Toxicology 25
Replace Akram Pourbakht with:
Akram Pourbakht Iran
Saku T. Sinkkonen Finland
Riccardo Ruffoli Italy
Dongzhen Yu China
Shuohao Sun United States
Laura Botta Italy
Srdjan M. Vlajkovic New Zealand
Kurt Stephan Austria
John K.M. Coleman United States
Diana I. Lurie United States
Daniel J. Brown relative to Akram Pourbakht Iran Akram Pourbakht's profile →
Citations per field
00.5×3.6×
Akram Pourbakht · 1×
Citations per year

Countries citing papers authored by Daniel J. Brown

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Brown'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. Brown 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. Brown more than expected).

Fields of papers citing papers by Daniel J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel J. Brown, 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 Daniel J. Brown Line = papers co-authored together Daniel J. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201874
2 197271
3 202239
4 201039
5 200537
6 201936
7 202129
8 201725
9 201225
10 200925
11 197324
12 200923
13 201720
14 201620
15 197319
16 199018
17 201118
18 202117
19 197217
20 197817

About Daniel J. Brown

Daniel J. Brown is a scholar working on Sensory Systems, Neurology, Cognitive Neuroscience, Pharmacology and Molecular Biology, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (31 papers), Vestibular and auditory disorders (25 papers), Hearing Loss and Rehabilitation (15 papers), Cannabis and Cannabinoid Research (10 papers), Noise Effects and Management (4 papers), Neuroscience of respiration and sleep (4 papers), Forensic Toxicology and Drug Analysis (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Sensory Systems (349 citations), Neurology (388 citations), Otorhinolaryngology (51 citations), Cognitive Neuroscience (201 citations) and Toxicology (25 citations). Daniel J. Brown has collaborated with scholars based in Australia, United States and Serbia. Frequent co-authors include Ian S. Curthoys, Christopher J. Pastras, Robert Patuzzi, Frederick A. Simeone, Ann M. Burgess, Yasuhiro Chihara, Robert B. Forney, Hani Al‐Salami, Susbin Raj Wagle and Armin Mooranian. Their work appears in journals such as Hearing Research, Toxicology and Applied Pharmacology, Therapeutic Delivery, Pharmaceutics and PLoS ONE.

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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