Daniel J. Cohen

3.8k citations
68 papers · 2.5k · 1 hit paper · h-index 24

Impact in

    • Advanced Sensor and Energy Harvesting Materials
    • 3D Printing in Biomedical Research
    • Robotic Locomotion and Control
    • Cellular Mechanics and Interactions

Papers in

Daniel J. Cohen

63 papers receiving 2.4k citations

Daniel J. Cohen's Hit Papers

A Highly Elastic, Capacitive Strain Gauge Based on Percolating Nanotube Networks 2012 · 451 citations
4510+4+9Years since publication100200300400

Peers

Daniel J. Cohen
Comparison fields: 5 of 181
  • Biomedical Engineering 896
  • Cell Biology 313
  • Aging 30
  • Polymers and Plastics 229
  • Immunology 221
Replace Anindita Basu with:
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Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Highly Elastic, Capacitive Strain Gauge Based on Percolating Nanotube Networks
Hit paper breakdown →
2012451
2 1994289
3 2012233
4 2014129
5 2021120
6 2020115
7 2015109
8 201799
9 199678
10 201355
11 202052
12 202047
13
Plasmapheresis treatment of recurrent FSGS in adult renal transplant recipients.
200146
14 201634
15 202433
16 201133
17 201632
18 202131
19 201629
20 198528

About Daniel J. Cohen

Daniel J. Cohen is a scholar working on Biomedical Engineering, Molecular Biology, Cell Biology, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (14 papers), 3D Printing in Biomedical Research (12 papers), Topic Modeling (10 papers), Planarian Biology and Electrostimulation (7 papers), Neuroscience and Neural Engineering (6 papers), Natural Language Processing Techniques (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Plant and Biological Electrophysiology Studies (4 papers). The work is most often cited by research in Biomedical Engineering (896 citations), Cell Biology (313 citations), Aging (30 citations), Polymers and Plastics (229 citations) and Immunology (221 citations). Daniel J. Cohen has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michel M. Maharbiz, Debkishore Mitra, Kevin Peterson, W. James Nelson, David W.L., Evan Chang-Siu, Ardian Jusufi, Thomas Libby, Talia Y. Moore and Robert J. Full. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, PLoS ONE, Journal of The Royal Society Interface and Rethinking History.

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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