Frank Davis

6.5k citations
151 papers · 5.1k indexed · 2 hit papers · h-index 38

Impact in

Papers in

Frank Davis

150 papers receiving 4.9k citations

Hit Papers

Magnetic nanoparticles in biomedical applications: A review 2021 · 277 citations
2772011202620162021100200300400

Peers

Frank Davis
Comparison fields: 5 of 163
  • Bioengineering 981
  • Electrochemistry 780
  • Spectroscopy 768
  • Polymers and Plastics 509
  • Electrical and Electronic Engineering 2.1k
Replace Yu Qin with:
Yu Qin China
Séamus P.J. Higson United Kingdom
Keith B. Male Canada
Proespichaya Kanatharana Thailand
Chengxiao Zhang China
Yongxin Li China
Danqun Huo China
M. Reza Hormozi‐Nezhad Iran
Vladimir M. Mirsky Germany
Minbo Lan China
Frank Davis relative to Yu Qin China Yu Qin's profile →
Citations per field
00.5×1.5×
Yu Qin · 1×
Citations per year

Countries citing papers authored by Frank Davis

Since Specialization
Citations

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

Fields of papers citing papers by Frank Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 202317
4 202313
5 20231
6 201862
7 201526
8 201311
9 201251
10 201211
11 201213
12 2011213
13 201023
14 20091
15 200812
16 200842
17
New Techniques in Monitoring Water Pollution - Development of Sonochemically Fabricated Microarrays for the Determination of Pollutants
20074
18 20054
19 200449
20 199010

About Frank Davis

Frank Davis is a scholar working on Bioengineering, Electrochemistry, Spectroscopy, Polymers and Plastics and Electrical and Electronic Engineering, having authored 151 papers that have together received 5.1k indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (41 papers), Advanced biosensing and bioanalysis techniques (34 papers), Lipid Membrane Structure and Behavior (33 papers), Electrochemical sensors and biosensors (21 papers), Electrochemical Analysis and Applications (19 papers), Molecular Sensors and Ion Detection (18 papers), Conducting polymers and applications (15 papers) and Supramolecular Chemistry and Complexes (14 papers). The work is most often cited by research in Bioengineering (981 citations), Electrochemistry (780 citations), Spectroscopy (768 citations), Polymers and Plastics (509 citations) and Electrical and Electronic Engineering (2.1k citations). Frank Davis has collaborated with scholars based in United Kingdom, Türkiye and Thailand. Frequent co-authors include Séamus P.J. Higson, Charles J. M. Stirling, Stuart D. Collyer, Hugh Barr, Opas Bunkoed, Alexei Nabok, Proespichaya Kanatharana, Michael J. Whitcombe, T. Richardson and Rıfat Çapan. Their work appears in journals such as Thin Solid Films, Biosensors and Bioelectronics, Sensors and Actuators B Chemical, Electroanalysis and Langmuir.

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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