Daniel K. Brown

20 papers receiving 1.0k citations

Peers

Daniel K. Brown
Comparison fields: 5 of 111
  • Health, Toxicology and Mutagenesis 626
  • Speech and Hearing 137
  • Applied Psychology 75
  • Conservation 39
  • Social Psychology 227
Replace Murray Griffin with:
Murray Griffin United Kingdom
Jo Peacock United Kingdom
Ruth Kjærsti Raanaas Norway
Carly Wood United Kingdom
Martin H. Sellens United Kingdom
Katherine M. Krpan Canada
Mike Rogerson United Kingdom
Ethan A. McMahan United States
Bum Jin Park South Korea
Ming Kuo United States
Daniel K. Brown relative to Murray Griffin United Kingdom Murray Griffin's profile →
Citations per field
00.5×1.7×
Murray Griffin · 1×
Citations per year

Countries citing papers authored by Daniel K. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Daniel K. 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 K. Brown Line = papers co-authored together Daniel K. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013290
2 2013277
3 2012137
4 201496
5 201574
6 200133
7 199925
8 201719
9 201217
10 201515
11 200013
12
Treatment of eosinophilic esophagitis: is oral viscous budesonide superior to swallowed fluticasone spray?
201113
13 201812
14 201812
15 20087
16 20077
17 20236
18 20225
19 20182
20 20171

About Daniel K. Brown

Daniel K. Brown is a scholar working on Health, Toxicology and Mutagenesis, Global and Planetary Change, Surgery, Ecology and Ecological Modeling, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Urban Green Space and Health (10 papers), Land Use and Ecosystem Services (7 papers), Species Distribution and Climate Change (3 papers), Wildlife Ecology and Conservation (2 papers), Olfactory and Sensory Function Studies (2 papers), Acute Myocardial Infarction Research (2 papers), Urban Heat Island Mitigation (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (626 citations), Speech and Hearing (137 citations), Applied Psychology (75 citations), Conservation (39 citations) and Social Psychology (227 citations). Daniel K. Brown has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include Jo Barton, Valerie Gladwell, Gavin Sandercock, Carly Wood, Jules Pretty, Mika P. Tarvainen, Maibritt Pedersen Zari, Mike Rogerson, John E. Smialek and Stephen J. Cina. Their work appears in journals such as American Journal of Forensic Medicine & Pathology, Scandinavian Journal of Work Environment & Health, Drugs of today, Landscape Research and Wear.

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