John R. Aggas

456 citations
18 papers · 310 · h-index 10

Impact in

Papers in

John R. Aggas

17 papers receiving 309 citations

Peers

John R. Aggas
Comparison fields: 5 of 62
  • Bioengineering 38
  • Polymers and Plastics 92
  • Transplantation 11
  • Biomedical Engineering 163
  • Cellular and Molecular Neuroscience 59
Replace Davide Vurro with:
Davide Vurro Italy
Bastien Marchiori France
Mei Yu Yao Hong Kong
Zhengshuai Cao China
Peikai Zhang New Zealand
Nicolò Rossetti Netherlands
Myeong Namkoong United States
Vishnu-Baba Sundaresan United States
William R. Small United Kingdom
Jongcheon Lim United States
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Citations per field
00.5×2.8×
Davide Vurro · 1×
Citations per year

Countries citing papers authored by John R. Aggas

Since Specialization
Citations

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

Fields of papers citing papers by John R. Aggas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Aggas. 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 John R. Aggas. The network helps show where John R. Aggas may publish in the future.

Co-authors

The 13 scholars most cited alongside John R. Aggas, 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 John R. Aggas Line = papers co-authored together John R. Aggas links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202274
2 202061
3 201832
4 201922
5 201921
6 201919
7 201817
8 201716
9 202012
10 201710
11 20237
12 20206
13 20204
14 20233
15 20193
16 20242
17
Electrical characterization of gold and platinum thin film electrodes with polyaniline modified surfaces
20151
18 20250

About John R. Aggas

John R. Aggas is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Polymers and Plastics, Cellular and Molecular Neuroscience and Bioengineering, having authored 18 papers that have together received 310 indexed citations. Recurring topics across this work include Conducting polymers and applications (7 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Electrochemical sensors and biosensors (6 papers), Neuroscience and Neural Engineering (4 papers), 3D Printing in Biomedical Research (3 papers), Analytical Chemistry and Sensors (3 papers), Organ and Tissue Transplantation Research (2 papers) and Wireless Power Transfer Systems (2 papers). The work is most often cited by research in Bioengineering (38 citations), Polymers and Plastics (92 citations), Transplantation (11 citations), Biomedical Engineering (163 citations) and Cellular and Molecular Neuroscience (59 citations). John R. Aggas has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Anthony Guiseppi‐Elie, Sara Abasi, Brandon K. Walther, Daria Podstawczyk, Hamouda M. Mousa, Jodie L. Lutkenhaus, E. Sánchez‐Sinencio, W. R. Harrell, Gerald Brandacher and Warren L. Grayson. Their work appears in journals such as Biosensors and Bioelectronics, Journal of Translational Medicine, Advanced Electronic Materials, Materials Science and Engineering C and Nanoscale.

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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