Daniel Levner

2.0k citations
13 papers · 1.0k · h-index 9

Impact in

    • 3D Printing in Biomedical Research
    • Biosensors and Analytical Detection
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • DNA and Nucleic Acid Chemistry

Papers in

Daniel Levner

13 papers receiving 969 citations

Peers

Daniel Levner
Comparison fields: 5 of 95
  • Biomedical Engineering 473
  • Molecular Biology 574
  • Biophysics 45
  • Cellular and Molecular Neuroscience 83
  • Safety, Risk, Reliability and Quality 37
Replace Youngeun Kim with:
Youngeun Kim South Korea
Sven Vogel Germany
Aniruddha M. Kaushik United States
Zitian Chen China
Emil P. Kartalov United States
Jack Hu United States
Deirdre Meldrum United States
Christopher Probst Germany
Yong Ho Kim South Korea
Mohamad H. Abedi United States
Daniel Levner relative to Youngeun Kim South Korea Youngeun Kim's profile →
Citations per field
00.5×6.4×
Youngeun Kim · 1×
Citations per year

Countries citing papers authored by Daniel Levner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Levner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2014315
2 2012254
3 2014171
4 201788
5 197969
6 201342
7 202130
8 201214
9 202313
10 20063
11
Programmable spectral design and the binary supergrating
20061
12 20061
13 20031

About Daniel Levner

Daniel Levner is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Biomedical Engineering, Surfaces, Coatings and Films and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Photonic and Optical Devices (3 papers), Semiconductor Lasers and Optical Devices (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Optical Coatings and Gratings (2 papers), RNA Interference and Gene Delivery (2 papers), 3D Printing in Biomedical Research (2 papers), Neuroscience and Neural Engineering (1 paper) and Optical Network Technologies (1 paper). The work is most often cited by research in Biomedical Engineering (473 citations), Molecular Biology (574 citations), Biophysics (45 citations), Cellular and Molecular Neuroscience (83 citations) and Safety, Risk, Reliability and Quality (37 citations). Daniel Levner has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Shmulik Ittah, Almogit Abu-Horowitz, Yaniv Amir, Ido Bachelet, George M. Church, Peng Yin, Ralf Jungmann, William M. Shih, Andrew M. Leifer and Chenxiang Lin. Their work appears in journals such as Nature Nanotechnology, American Journal of Hematology, Lab on a Chip, Nature Chemistry and BMC Genomics.

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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