G.A. Robinson

512 citations
16 papers · 400 · h-index 11

Impact in

Papers in

G.A. Robinson

16 papers receiving 352 citations

Peers

G.A. Robinson
Comparison fields: 5 of 49
  • Bioengineering 83
  • Electrochemistry 48
  • Biomedical Engineering 194
  • Molecular Biology 236
  • Electrical and Electronic Engineering 164
Replace Jason R. Epstein with:
Jason R. Epstein United States
Yuri M. Shirshov Ukraine
W. Laureyn Belgium
Cristina Polonschii Romania
Andreas Katerkamp Germany
Michal Poksinski Sweden
Jack A. Goode United Kingdom
Eva Melnik Austria
Alistair Hutchinson United Kingdom
G.A. Robinson relative to Jason R. Epstein United States Jason R. Epstein's profile →
Citations per field
00.5×1.5×1.9×
Jason R. Epstein · 1×
Citations per year

Countries citing papers authored by G.A. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by G.A. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside G.A. Robinson, 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 G.A. Robinson Line = papers co-authored together G.A. Robinson links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1991113
2 199547
3 198534
4
Bioelectrochemical enzyme immunoassay of human choriogonadotropin with magnetic electrodes.
198532
5 198630
6 199128
7 199127
8 199019
9 199517
10 198716
11 200816
12 198610
13 19934
14 19934
15 19952
16 19931

About G.A. Robinson

G.A. Robinson is a scholar working on Molecular Biology, Biomedical Engineering, Bioengineering, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 400 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (14 papers), Biosensors and Analytical Detection (8 papers), Advanced Biosensing Techniques and Applications (4 papers), Analytical Chemistry and Sensors (4 papers), Electrochemical sensors and biosensors (3 papers), Infant Nutrition and Health (2 papers), Molecular Junctions and Nanostructures (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Bioengineering (83 citations), Electrochemistry (48 citations), Biomedical Engineering (194 citations), Molecular Biology (236 citations) and Electrical and Electronic Engineering (164 citations). G.A. Robinson has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include G.P. Davidson, Colin Love, Robert P. Lucht, H. Allen O. Hill, Normand M. Laurendeau and Paul M. O’Neill. Their work appears in journals such as Biosensors and Bioelectronics, Sensors and Actuators B Chemical, Clinical Chemistry, Journal of Virological Methods and PubMed.

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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