Daniel Cole

9 papers receiving 955 citations

Daniel Cole's Hit Papers

Quantitative mass imaging of single biological macromolecules 2018 · 548 citations
5480+2+5Years since publication100200300400500

Peers

Daniel Cole
Comparison fields: 5 of 111
  • Biophysics 248
  • Structural Biology 27
  • Acoustics and Ultrasonics 7
  • Molecular Biology 492
  • Biomedical Engineering 312
Replace Gavin Young with:
Gavin Young United Kingdom
Adam J. Fineberg United Kingdom
Sangyoon Chung United States
Lukas Frey Switzerland
Amani A. Gillette United States
Nikolas Hundt Germany
Nirmalya Bag Singapore
Iztok Urbančič Slovenia
Shane A. Chandler United Kingdom
Jörg Schaffer Germany
Daniel Cole relative to Gavin Young United Kingdom Gavin Young's profile →
Citations per field
00.5×1.5×
Gavin Young · 1×
Citations per year

Countries citing papers authored by Daniel Cole

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Quantitative mass imaging of single biological macromolecules
Hit paper breakdown →
2018548
2 2017156
3 2016122
4 197986
5 201823
6 202221
7 202119
8 20248
9 20181

About Daniel Cole

Daniel Cole is a scholar working on Biophysics, Cell Biology, Molecular Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 9 papers that have together received 984 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (5 papers), Advanced Biosensing Techniques and Applications (2 papers), Protein Structure and Dynamics (2 papers), Cellular Mechanics and Interactions (2 papers), Enzyme Structure and Function (2 papers), Biosensors and Analytical Detection (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Biophysics (248 citations), Structural Biology (27 citations), Acoustics and Ultrasonics (7 citations), Molecular Biology (492 citations) and Biomedical Engineering (312 citations). Daniel Cole has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Philipp Kukura, Jaime Ortega Arroyo, Gavin Young, Alexander Weigel, Aleksandar Sebesta, Nikolas Hundt, Weston B. Struwe, Jack J. J. J. Miller, Max F. Hantke and Silvia Galiani. Their work appears in journals such as ACS Photonics, Science, Science Advances, Nature Protocols and Biophysical Journal.

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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