Bret Berner

2.2k citations
67 papers · 1.7k indexed · h-index 24

Bret Berner

66 papers receiving 1.5k citations

Peers

Bret Berner
Comparison fields: 5 of 118
  • Pharmaceutical Science 941
  • Dermatology 354
  • Molecular Medicine 65
  • Endocrinology, Diabetes and Metabolism 150
  • Biophysics 49
Replace Chandrasekharan Ramachandran with:
Chandrasekharan Ramachandran United States
Saeho Chong United States
Bruce J. Aungst United States
Toshiaki Nishihata Japan
Teruo Murakami Japan
Yukako Ιtο Japan
Ashim K. Mitra United States
Ahmed Hassen Elshafeey Egypt
G.L. Flynn United States
Masahiro Iwaki Japan
Bret Berner relative to Chandrasekharan Ramachandran United States Chandrasekharan Ramachandran's profile →
Citations per field
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Chandrasekharan Ramachandran · 1×
Citations per year

Countries citing papers authored by Bret Berner

Since Specialization
Citations

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

Fields of papers citing papers by Bret Berner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bret Berner. 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 Bret Berner. The network helps show where Bret Berner may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20150
2 200850
3 200614
4 20057
5 20049
6 200364
7 200175
8 199880
9 199528
10 1994106
11 19933
12 199322
13 199311
14 19914
15 198949
16 198941
17 1989149
18 198810
19
Transdermal delivery of drugs
198748
20 19803

About Bret Berner

Bret Berner is a scholar working on Pharmaceutical Science, Dermatology, Biophysics, Sensory Systems and Small Animals, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advancements in Transdermal Drug Delivery (30 papers), Lipid Membrane Structure and Behavior (12 papers), Surfactants and Colloidal Systems (10 papers), Advanced Drug Delivery Systems (8 papers), Drug Solubulity and Delivery Systems (7 papers), Dermatology and Skin Diseases (6 papers), Contact Dermatitis and Allergies (5 papers) and Pharmaceutical studies and practices (4 papers). The work is most often cited by research in Pharmaceutical Science (941 citations), Dermatology (354 citations), Molecular Medicine (65 citations), Endocrinology, Diabetes and Metabolism (150 citations) and Biophysics (49 citations). Bret Berner has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Gerard C. Mazzenga, V. A. John, Verne E. Cowles, Charles D. Ebert, Daniel Kivelson, Steven M. Dinh, Eugene R. Cooper, Xiaoling Li, Amir H. Shojaei and Sui Yuen Eddie Hou. Their work appears in journals such as Journal of Pharmaceutical Sciences, Journal of Controlled Release, International Journal of Pharmaceutics, Pharmaceutical Research and Journal of Membrane Science.

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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