David J. Keller

1.2k citations
27 papers · 987 · h-index 12

Impact in

Papers in

David J. Keller

27 papers receiving 956 citations

Peers

David J. Keller
Comparison fields: 5 of 90
  • Structural Biology 65
  • Surfaces, Coatings and Films 215
  • Atomic and Molecular Physics, and Optics 387
  • Biomedical Engineering 288
  • 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
Manfred Jaschke Germany
Manola Moretti Saudi Arabia
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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004193
2 1993150
3 1997147
4 1992135
5 199696
6 198150
7 201538
8 200924
9 201021
10 201217
11 199014
12 201411
13 200410
14 19929
15 20129
16 20048
17 19688
18 20147
19 19817
20 19976

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 27 papers that have together received 987 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), Clay minerals and soil interactions (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Antimicrobial agents and applications (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Structural Biology (65 citations), Surfaces, Coatings and Films (215 citations), Atomic and Molecular Physics, and Optics (387 citations), Biomedical Engineering (288 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, Julia E. Fulghum, Kateryna Artyushkova, Qiang Fu, G. V. Rama Rao, James A. Brozik and Seema Singh. Their work appears in journals such as The Journal of Physical Chemistry B, Langmuir, Surface Science, Chemistry and Physics of Lipids and Applied Surface Science.

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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