Jane E. Frew

1.5k citations
20 papers · 1.3k · h-index 13

Impact in

Papers in

Jane E. Frew

20 papers receiving 1.3k citations

Peers

Jane E. Frew
Comparison fields: 5 of 110
  • Electrochemistry 584
  • Bioengineering 390
  • Electrical and Electronic Engineering 798
  • Polymers and Plastics 115
  • Molecular Biology 423
Replace Graciliano de Oliveira Neto with:
Graciliano de Oliveira Neto Brazil
Marco F. Cardosi United Kingdom
M.L. Mena Spain
Shunichi Uchiyama Japan
M. Gabriela Almeida Portugal
Mekki Bayachou United States
О. О. Солдаткін Ukraine
Ana‐Maria Chiorcea‐Paquim Portugal
Yun‐Xiang Ci China
Wenrui Jin China
Jane E. Frew relative to Graciliano de Oliveira Neto Brazil Graciliano de Oliveira Neto's profile →
Citations per field
00.5×1.5×2.3×
Graciliano de Oliveira Neto · 1×
Citations per year

Countries citing papers authored by Jane E. Frew

Since Specialization
Citations

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

Fields of papers citing papers by Jane E. Frew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane E. Frew. 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 Jane E. Frew. The network helps show where Jane E. Frew may publish in the future.

Co-authors

The 18 scholars most cited alongside Jane E. Frew, 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 Jane E. Frew Line = papers co-authored together Jane E. Frew links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1983290
2 1988271
3 1987164
4 1986123
5 199388
6 198773
7 198770
8 198948
9 197044
10 198743
11 198940
12 200332
13 198613
14 198310
15 198910
16 19879
17 19907
18 19865
19 19832
20 19881

About Jane E. Frew

Jane E. Frew is a scholar working on Electrochemistry, Electrical and Electronic Engineering, Bioengineering, Molecular Biology and Organic Chemistry, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (12 papers), Electrochemical sensors and biosensors (11 papers), Analytical Chemistry and Sensors (8 papers), Advanced biosensing and bioanalysis techniques (4 papers), Molecular Sensors and Ion Detection (2 papers), Diet and metabolism studies (1 paper), Bioactive Compounds and Antitumor Agents (1 paper) and Biochemical Acid Research Studies (1 paper). The work is most often cited by research in Electrochemistry (584 citations), Bioengineering (390 citations), Electrical and Electronic Engineering (798 citations), Polymers and Plastics (115 citations) and Molecular Biology (423 citations). Jane E. Frew has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include H. Allen O. Hill, Peter Jones, G. Scholes, H. Hill, Mark A. Harmer, Nicola Foulds, Peter Jones, Philip N. Bartlett, Nigel J. Forrow and Richard G. Whitaker. Their work appears in journals such as Analytica Chimica Acta, Analytical Chemistry, Bioconjugate Chemistry, Biochemistry and European Journal of Biochemistry.

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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