A.V. Few

842 citations
21 papers · 718 · h-index 15

Impact in

Papers in

Journals
Nature (4 papers)Journal of Colloid Science (1 paper)Transactions of the Faraday Society (1 paper)Journal of General Microbiology (5 papers)Biochemical Journal (2 papers)

In The Last Decade

A.V. Few

21 papers receiving 581 citations

Peers

A.V. Few
Comparison fields: 5 of 95
  • Molecular Medicine 77
  • Filtration and Separation 19
  • Biotechnology 52
  • Microbiology 37
  • Organic Chemistry 158
Replace James R. Baarda with:
James R. Baarda United States
François Le Goffic France
M Takano Japan
R. P. Elander United States
B. CAVALLERI Italy
Guy G.S. Dutton Canada
Andrew T. Koppisch United States
Isao Shibasaki Japan
R.J. Stretton United Kingdom
Jean-Louis Drocourt France
A.V. Few relative to James R. Baarda United States James R. Baarda's profile →
Citations per field
00.5×4.1×
James R. Baarda · 1×
Citations per year

Countries citing papers authored by A.V. Few

Since Specialization
Citations

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

Fields of papers citing papers by A.V. Few

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.V. Few. 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 A.V. Few. The network helps show where A.V. Few may publish in the future.

Co-authors

The 11 scholars most cited alongside A.V. Few, 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 A.V. Few Line = papers co-authored together A.V. Few links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1956111
2 1958109
3 195369
4 195567
5 196057
6 195555
7 196038
8 195326
9 195524
10 195224
11 195720
12 195415
13 196015
14 195214
15 195714
16 195312
17 195912
18 195311
19 19589
20 19588

About A.V. Few

A.V. Few is a scholar working on Molecular Biology, Organic Chemistry, Molecular Medicine, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 21 papers that have together received 718 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (4 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial Genetics and Biotechnology (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Electrochemical Analysis and Applications (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Surfactants and Colloidal Systems (2 papers). The work is most often cited by research in Molecular Medicine (77 citations), Filtration and Separation (19 citations), Biotechnology (52 citations), Microbiology (37 citations) and Organic Chemistry (158 citations). A.V. Few has collaborated with scholars based in United Kingdom, South Sudan and Australia. Frequent co-authors include A.R. Gilby, R. H. Ottewill, J. H. Schulman, Kenneth McQuillen, H.C. Parreira, Peter D. Cooper, G.V.F. Seaman, David Rowley, M.R.J. Salton and B. A. Pethica. Their work appears in journals such as Nature, Journal of Colloid Science, Transactions of the Faraday Society, Journal of General Microbiology and Biochemical Journal.

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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