Daniel Tam

890 citations
31 papers · 638 · h-index 12

Impact in

Papers in

Daniel Tam

29 papers receiving 626 citations

Peers

Daniel Tam
Comparison fields: 5 of 72
  • Condensed Matter Physics 326
  • Surfaces, Coatings and Films 80
  • Computational Mechanics 163
  • Biomedical Engineering 288
  • Statistical and Nonlinear Physics 53
Replace Eric E. Keaveny with:
Eric E. Keaveny United Kingdom
Marc Z. Miskin United States
Gwynn J. Elfring Canada
Sergey Shklyaev Russia
Nobuhiko J. Suematsu Japan
Arnold J. T. M. Mathijssen United States
Sumesh P. Thampi India
Filippo Saglimbeni Italy
Michelle Driscoll United States
Ken Nagai Japan
Daniel Tam relative to Eric E. Keaveny United Kingdom Eric E. Keaveny's profile →
Citations per field
00.5×2.7×
Eric E. Keaveny · 1×
Citations per year

Countries citing papers authored by Daniel Tam

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007147
2 2009145
3 201172
4 201565
5 202125
6 201919
7 202119
8 201918
9 201317
10 201914
11 202114
12 201513
13 202011
14 200511
15 20208
16 20207
17 20196
18 20206
19 20244
20 20244

About Daniel Tam

Daniel Tam is a scholar working on Biomedical Engineering, Condensed Matter Physics, Computational Mechanics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 638 indexed citations. Recurring topics across this work include Micro and Nano Robotics (13 papers), Microfluidic and Bio-sensing Technologies (9 papers), Lipid Membrane Structure and Behavior (5 papers), Fluid Dynamics and Turbulent Flows (5 papers), Characterization and Applications of Magnetic Nanoparticles (5 papers), Lattice Boltzmann Simulation Studies (4 papers), Biomimetic flight and propulsion mechanisms (4 papers) and Nanopore and Nanochannel Transport Studies (3 papers). The work is most often cited by research in Condensed Matter Physics (326 citations), Surfaces, Coatings and Films (80 citations), Computational Mechanics (163 citations), Biomedical Engineering (288 citations) and Statistical and Nonlinear Physics (53 citations). Daniel Tam has collaborated with scholars based in Netherlands, United States and China. Frequent co-authors include A. E. Hosoi, Marie‐Eve Aubin‐Tam, Gareth H. McKinley, Volkmar von Arnim, Da Wei, Guillermo J. Amador, Roland Kieffer, Jerry Westerweel, Raùl Radovitzky and Karl A. Johnson. Their work appears in journals such as Physical Review Letters, Experiments in Fluids, Journal of Fluid Mechanics, Proceedings of the National Academy of Sciences 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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