J. Wiest

553 citations
36 papers · 367 · h-index 10

Impact in

Papers in

    • 3D Printing in Biomedical Research 15
    • Microfluidic and Capillary Electrophoresis Applications 7
    • Microfluidic and Bio-sensing Technologies 7
    • Analytical Chemistry and Sensors 13

J. Wiest

34 papers receiving 357 citations

Peers

J. Wiest
Comparison fields: 5 of 84
  • Bioengineering 64
  • Process Chemistry and Technology 19
  • Health, Toxicology and Mutagenesis 88
  • Biomedical Engineering 186
  • Immunology and Allergy 18
Replace Linda M. Brennan with:
Linda M. Brennan United States
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Prabakaran Ravichandran United States
Shuo Feng China
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U. Risse Germany
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Citations per field
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Citations per year

Countries citing papers authored by J. Wiest

Since Specialization
Citations

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

Fields of papers citing papers by J. Wiest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200197
2 201858
3 201727
4 200626
5 200717
6 200517
7 201313
8 201512
9 202212
10
Planar ruthenium oxide sensors for cell-on-a-chip metabolic studies
200911
11 20189
12 20208
13 20128
14
CELL BASED ASSAYS FOR DIAGNOSTIC AND THERAPY ON MULTIPARAMETRIC BIOSENSOR CHIPS WITH AN INTELLIGENT MOBILE LAB
20057
15 20166
16 20155
17 20165
18 20224
19 20193
20 20113

About J. Wiest

J. Wiest is a scholar working on Biomedical Engineering, Bioengineering, Molecular Biology, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 36 papers that have together received 367 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (15 papers), Analytical Chemistry and Sensors (13 papers), Neuroscience and Neural Engineering (8 papers), Electrochemical sensors and biosensors (7 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers), Microfluidic and Bio-sensing Technologies (7 papers), Water Quality Monitoring and Analysis (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Bioengineering (64 citations), Process Chemistry and Technology (19 citations), Health, Toxicology and Mutagenesis (88 citations), Biomedical Engineering (186 citations) and Immunology and Allergy (18 citations). J. Wiest has collaborated with scholars based in Germany, Sweden and Indonesia. Frequent co-authors include F. Alexander, Sebastian Eggert, Tiina Reponen, Martha C. Anderson, Sergey A. Grinshpun, Martin Brischwein, Bernhard Wolf, J. Ressler, H. Grothe and Stina Oredsson. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Sensors and Actuators B Chemical, Chemie Ingenieur Technik, Genes and IEEE Transactions on Biomedical Engineering.

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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