Neil E. Brown

1.5k citations
30 papers · 1.1k · h-index 16

Impact in

Papers in

Neil E. Brown

30 papers receiving 1.0k citations

Peers

Neil E. Brown
Comparison fields: 5 of 112
  • Pulmonary and Respiratory Medicine 428
  • Cellular and Molecular Neuroscience 190
  • Biochemistry 47
  • Insect Science 80
  • Critical Care and Intensive Care Medicine 22
Replace G. Häfner with:
G. Häfner Germany
Jason Yolitz United States
Keiko Tanaka Japan
Martin D. Valentine United States
Ricardo Ochoa United States
D. Nadeau Canada
Andrew T. Mariassy United States
David Whitley United States
Elizabeth García Colombia
Stefanie Gilles Germany
Neil E. Brown relative to G. Häfner Germany G. Häfner's profile →
Citations per field
00.5×10.0×
G. Häfner · 1×
Citations per year

Countries citing papers authored by Neil E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Neil E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997142
2 1995117
3 1999105
4 1994104
5 197882
6 200562
7 200958
8 199544
9 200238
10 199931
11 199530
12 200629
13 201027
14 199826
15 200023
16 201522
17 199215
18 201714
19 200714
20 200712

About Neil E. Brown

Neil E. Brown is a scholar working on Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience, Process Chemistry and Technology, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (8 papers), Neonatal Respiratory Health Research (3 papers), Odor and Emission Control Technologies (3 papers), Fatty Acid Research and Health (2 papers), Animal Behavior and Reproduction (2 papers), Effects of Environmental Stressors on Livestock (2 papers), Dysphagia Assessment and Management (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (428 citations), Cellular and Molecular Neuroscience (190 citations), Biochemistry (47 citations), Insect Science (80 citations) and Critical Care and Intensive Care Medicine (22 citations). Neil E. Brown has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include Vincent C. Henrich, Bonnie Dasgupta, Malcolm King, Robert P. Tomkiewicz, Arnold Aberman, Noé Zamel, Marek Duszyk, Andreas Schwingshackl, Redwan Moqbel and Jeffrey Johnson. Their work appears in journals such as Pediatric Pulmonology, American Journal of Respiratory and Critical Care Medicine, CHEST Journal, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy and Journal of Cystic Fibrosis.

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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