Jason Deich

11 papers receiving 447 citations

Peers

Jason Deich
Comparison fields: 5 of 61
  • Biophysics 149
  • Structural Biology 20
  • Bioengineering 47
  • Molecular Biology 242
  • Cellular and Molecular Neuroscience 57
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Iris von der Hocht Germany
Gavin Young United Kingdom
Patrick C. Sims United States
H. Pin Kao United States
Jan Krieger Germany
Marcelle König Germany
Simon Sindbert Germany
Ludovic Le Reste United Kingdom
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Jason Deich relative to Iris von der Hocht Germany Iris von der Hocht's profile →
Citations per field
00.5×2.6×
Iris von der Hocht · 1×
Citations per year

Countries citing papers authored by Jason Deich

Since Specialization
Citations

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

Fields of papers citing papers by Jason Deich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2004108
2 200489
3 200180
4 200453
5 199949
6 200534
7 200030
8 20045
9
LASER BACKGROUND REJECTION OPTIMIZATION IN INTEGRATED OPTOELECTRONIC FLUORESCENCE SENSOR
20033
10
Photophysics of DsRed, a red fluorescent protein, from the ensemble to the single-molecule level
20012
11
Integrated semiconductor bio-fluorescence sensor integrated on micro-fluidic platform
20042
12 20040

About Jason Deich

Jason Deich is a scholar working on Molecular Biology, Bioengineering, Electrical and Electronic Engineering, Biophysics and Biomedical Engineering, having authored 12 papers that have together received 455 indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Enzyme Structure and Function (2 papers), Semiconductor Lasers and Optical Devices (2 papers), Photonic and Optical Devices (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Electrowetting and Microfluidic Technologies (1 paper). The work is most often cited by research in Biophysics (149 citations), Structural Biology (20 citations), Bioengineering (47 citations), Molecular Biology (242 citations) and Cellular and Molecular Neuroscience (57 citations). Jason Deich has collaborated with scholars based in United States and France. Frequent co-authors include W. E. Moerner, Harley H. McAdams, Steven G. Boxer, Federico I. Rosell, Ofer Levi, Evan P. Thrush, Stephen J Smith, Brahim Lounis, David A. Johnson and Susan S. Taylor. Their work appears in journals such as The Journal of Physical Chemistry B, Proceedings of the National Academy of Sciences, Biochemistry, Sensors and Actuators B Chemical and IEEE Journal of Quantum Electronics.

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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