Brian Mead

857 citations
11 papers · 668 · h-index 7

Impact in

  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • Ultrasound and Hyperthermia Applications
    • Photoacoustic and Ultrasonic Imaging
    • Nanoplatforms for cancer theranostics

Papers in

Brian Mead

10 papers receiving 660 citations

Peers

Brian Mead
Comparison fields: 5 of 86
  • Biomaterials 113
  • Biomedical Engineering 369
  • Neurology 57
  • Radiology, Nuclear Medicine and Imaging 101
  • Developmental Neuroscience 16
Replace Choi‐Fong Cho with:
Choi‐Fong Cho United States
Justin M. Wolfe United States
Benjamí Oller‐Salvia Spain
Julia V. Georgieva United States
Ashwath Jayagopal United States
Feihe Ma China
Sundramurthy Kumar Singapore
Eran Barnoy Israel
Inge van Rooy Netherlands
Ankshita Prasad Singapore
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Citations per field
00.5×2.9×
Choi‐Fong Cho · 1×
Citations per year

Countries citing papers authored by Brian Mead

Since Specialization
Citations

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

Fields of papers citing papers by Brian Mead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2015163
2 2017130
3 2015119
4 2009114
5 202089
6 201926
7 198114
8 19826
9 20154
10 20172
11 20051

About Brian Mead

Brian Mead is a scholar working on Biomedical Engineering, Materials Chemistry, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pharmacology, having authored 11 papers that have together received 668 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (7 papers), Ultrasound and Cavitation Phenomena (5 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Ultrasound Imaging and Elastography (2 papers), Nerve injury and regeneration (1 paper), Neuroscience and Neural Engineering (1 paper), Computational Drug Discovery Methods (1 paper) and Natural product bioactivities and synthesis (1 paper). The work is most often cited by research in Biomaterials (113 citations), Biomedical Engineering (369 citations), Neurology (57 citations), Radiology, Nuclear Medicine and Imaging (101 citations) and Developmental Neuroscience (16 citations). Brian Mead has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Richard J. Price, Kelsie Timbie, Justin Hanes, Jung Soo Suk, Alexander L. Klibanov, Panagiotis Mastorakos, G. Wilson Miller, James W. Mandell, Nam-Ho Kim and Jay Hirsh. Their work appears in journals such as Journal of Controlled Release, Journal of Pharmacy and Pharmacology, Bioorganic & Medicinal Chemistry, Journal of Therapeutic Ultrasound and Science Advances.

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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