Benjamin Garlan

650 citations
6 papers · 564 · 1 hit paper · h-index 4

Impact in

Papers in

Benjamin Garlan

6 papers receiving 555 citations

Benjamin Garlan's Hit Papers

Neuromorphic Functions in PEDOT:PSS Organic Electrochemical Transistors 2015 · 506 citations
5060+3+7Years since publication100200300400500

Peers

Benjamin Garlan
Comparison fields: 5 of 48
  • Polymers and Plastics 280
  • Cellular and Molecular Neuroscience 225
  • Bioengineering 44
  • Electrical and Electronic Engineering 442
  • Biomedical Engineering 164
Replace Dea Uk Lee with:
Dea Uk Lee South Korea
Sreekanth Ginnaram Taiwan
Hui Xiao China
Patricia Jastrzebska‐Perfect United States
Seungbeom Choi South Korea
Shuqiong Lan China
Xiaoci Liang China
Giovanni Maria Matrone United States
Sha Nie China
Abdul Manan Dar Sweden
Benjamin Garlan relative to Dea Uk Lee South Korea Dea Uk Lee's profile →
Citations per field
00.5×2×3×4×4.9×
Dea Uk Lee · 1×
Citations per year

Countries citing papers authored by Benjamin Garlan

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Garlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Benjamin Garlan, 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 Benjamin Garlan Line = papers co-authored together Benjamin Garlan links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Neuromorphic Functions in PEDOT:PSS Organic Electrochemical Transistors
Hit paper breakdown →
2015506
2 202224
3 201823
4 20236
5 20243
6 20172

About Benjamin Garlan

Benjamin Garlan is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Toxicology, Bioengineering and Condensed Matter Physics, having authored 6 papers that have together received 564 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (4 papers), Biosensors and Analytical Detection (3 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Conducting polymers and applications (1 paper), Pickering emulsions and particle stabilization (1 paper), Forensic Toxicology and Drug Analysis (1 paper), Analytical Chemistry and Sensors (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Polymers and Plastics (280 citations), Cellular and Molecular Neuroscience (225 citations), Bioengineering (44 citations), Electrical and Electronic Engineering (442 citations) and Biomedical Engineering (164 citations). Benjamin Garlan has collaborated with scholars based in France, Germany and Jordan. Frequent co-authors include Paschalis Gkoupidenis, Nathan Schaefer, George G. Malliaras, Juliane Simmchen, Zuyao Xiao, Kieu An Ngo, Hans‐Joachim Krause, Andreas Offenhäusser, Sophie Neveu and Hamid Kokabi. Their work appears in journals such as Angewandte Chemie International Edition, Sensors, Advanced Materials, Basic & Clinical Pharmacology & Toxicology and Micromachines.

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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