Eric N. Brown

1.0k citations
31 papers · 658 · h-index 14

Impact in

    • Glaucoma and retinal disorders
    • Retinal Diseases and Treatments
  • Pollution top 10%
    • Microbial bioremediation and biosurfactants

Papers in

Eric N. Brown

30 papers receiving 637 citations

Peers

Eric N. Brown
Comparison fields: 5 of 101
  • Ophthalmology 172
  • Pollution 121
  • Inorganic Chemistry 110
  • Pharmacology 43
  • Complementary and alternative medicine 30
Replace Ching‐Yao Chang with:
Ching‐Yao Chang Taiwan
Guangbin Zhang China
Daniel Bauer Switzerland
Jan Sawicki Poland
Leonard F. Blackwell New Zealand
Manoj Kar India
A. J. TOMOLONIS Poland
Helene Faber Germany
Aziz‐ur‐Rehman Pakistan
François Estour France
Eric N. Brown relative to Ching‐Yao Chang Taiwan Ching‐Yao Chang's profile →
Citations per field
00.5×10×17.3×
Ching‐Yao Chang · 1×
Citations per year

Countries citing papers authored by Eric N. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Eric N. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluation of the anxiolytic effects of chrysin, a Passiflora incarnata extract, in the laboratory rat.
200777
2 200769
3 200863
4 200747
5 200845
6 201644
7 201744
8 201632
9 200731
10 201631
11 201730
12 201629
13 202328
14 201221
15 201812
16 20138
17 20178
18 20186
19 20146
20 20026

About Eric N. Brown

Eric N. Brown is a scholar working on Ophthalmology, Molecular Biology, Inorganic Chemistry, Pollution and Health, Toxicology and Mutagenesis, having authored 31 papers that have together received 658 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (9 papers), Metal-Catalyzed Oxygenation Mechanisms (4 papers), Microbial bioremediation and biosurfactants (3 papers), Protein Structure and Dynamics (2 papers), Retinal and Macular Surgery (2 papers), Enzyme Structure and Function (2 papers), Microbial metabolism and enzyme function (2 papers) and Infection Control and Ventilation (1 paper). The work is most often cited by research in Ophthalmology (172 citations), Pollution (121 citations), Inorganic Chemistry (110 citations), Pharmacology (43 citations) and Complementary and alternative medicine (30 citations). Eric N. Brown has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include S. Ramaswamy, D.J. Ferraro, Nils A. Loewen, Joel S. Schuman, David T. Gibson, Rosmarie Friemann, Rebecca E. Parales, Igor I. Bussel, Hardik Parikh and Chi-Li Yu. Their work appears in journals such as PLoS ONE, Investigative Ophthalmology & Visual Science, Ophthalmology Glaucoma, Translational Vision Science & Technology and Retina.

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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