David J. Keller

1.1k citations
26 papers · 933 · h-index 11

Impact in

Papers in

David J. Keller

26 papers receiving 901 citations

Peers

David J. Keller
Comparison fields: 5 of 88
  • Structural Biology 65
  • Surfaces, Coatings and Films 213
  • Atomic and Molecular Physics, and Optics 384
  • Biomedical Engineering 289
  • Molecular Medicine 30
Replace Boris B. Akhremitchev with:
Boris B. Akhremitchev United States
H. E. Gaub United States
Jan Domke Germany
Daniel E. Laney United States
Ralf W. Tillmann Germany
Ionel Popa United States
Manola Moretti Saudi Arabia
Manfred Jaschke Germany
Simone Dal Zilio Italy
Philippe Carl France
David J. Keller relative to Boris B. Akhremitchev United States Boris B. Akhremitchev's profile →
Citations per field
00.5×1.5×
Boris B. Akhremitchev · 1×
Citations per year

Countries citing papers authored by David J. Keller

Since Specialization
Citations

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

Fields of papers citing papers by David J. Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004193
2 1993150
3 1997146
4 1992135
5 199696
6 201538
7 200922
8 201021
9 201217
10 199014
11 201411
12 19929
13 20049
14 20129
15 20048
16 19688
17 19817
18 20147
19 19976
20 20056

About David J. Keller

David J. Keller is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Infectious Diseases and Biomaterials, having authored 26 papers that have together received 933 indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (11 papers), Lipid Membrane Structure and Behavior (5 papers), Polymer Surface Interaction Studies (3 papers), HIV/AIDS drug development and treatment (3 papers), HIV Research and Treatment (2 papers), Clay minerals and soil interactions (2 papers), ATP Synthase and ATPases Research (2 papers) and Mechanical and Optical Resonators (2 papers). The work is most often cited by research in Structural Biology (65 citations), Surfaces, Coatings and Films (213 citations), Atomic and Molecular Physics, and Optics (384 citations), Biomedical Engineering (289 citations) and Molecular Medicine (30 citations). David J. Keller has collaborated with scholars based in United States and Spain. Frequent co-authors include Carlos Bustamante, Claudio Rivetti, Gabriel P. López, Solomon B. Basame, G. V. Rama Rao, Qiang Fu, Julia E. Fulghum, Kateryna Artyushkova, James A. Brozik and Roderick Capaldi. Their work appears in journals such as The Journal of Physical Chemistry B, Langmuir, Surface Science, Clays and Clay Minerals and Journal of the American Chemical Society.

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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