John A. DeFranco

2.5k citations
33 papers · 2.1k · h-index 20

Impact in

Papers in

John A. DeFranco

33 papers receiving 2.1k citations

Peers

John A. DeFranco
Comparison fields: 5 of 75
  • Polymers and Plastics 1.2k
  • Bioengineering 441
  • Electrical and Electronic Engineering 1.6k
  • Electrochemistry 121
  • Biomedical Engineering 785
Replace Pasquale D’Angelo with:
Pasquale D’Angelo Italy
Kihyon Hong South Korea
H. Stubb Finland
Shofarul Wustoni Saudi Arabia
Tom C. T. Geuns Netherlands
M. Spijkman Netherlands
Naixiang Wang Hong Kong
Anneng Yang Hong Kong
Leslie H. Jimison United States
Eleonora Macchia Italy
John A. DeFranco relative to Pasquale D’Angelo Italy Pasquale D’Angelo's profile →
Citations per field
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Pasquale D’Angelo · 1×
Citations per year

Countries citing papers authored by John A. DeFranco

Since Specialization
Citations

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

Fields of papers citing papers by John A. DeFranco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007349
2 2007254
3 2005198
4 2009170
5 2009166
6 2008140
7 2007118
8 2011113
9 200995
10 201576
11 200565
12 200861
13 200859
14 200849
15 200646
16 200841
17 201426
18 200821
19 201120
20 200920

About John A. DeFranco

John A. DeFranco is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Polymers and Plastics, Bioengineering and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (18 papers), Conducting polymers and applications (14 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Analytical Chemistry and Sensors (6 papers), Organic Light-Emitting Diodes Research (5 papers), Nanofabrication and Lithography Techniques (5 papers), Electrochemical sensors and biosensors (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Polymers and Plastics (1.2k citations), Bioengineering (441 citations), Electrical and Electronic Engineering (1.6k citations), Electrochemistry (121 citations) and Biomedical Engineering (785 citations). John A. DeFranco has collaborated with scholars based in United States, China and Australia. Frequent co-authors include George G. Malliaras, Daniel A. Bernards, Daniel J. Macaya, Maria Nikolou, Hon Hang Fong, Alexander A. Zakhidov, Christopher K. Ober, Jin‐Kyun Lee, Priscilla G. Taylor and Seiichi Takamatsu. Their work appears in journals such as Journal of Materials Chemistry, Advanced Materials, Applied Physics Letters, Nature Materials and The Journal of Urology.

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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