David Grass

43 papers receiving 2.9k citations

Hit Papers

Cooling of a levitated nanoparticle to the motional quantum ground state 2020 · 395 citations
3952020202620222024100200300

Peers

David Grass
Comparison fields: 5 of 159
  • Atomic and Molecular Physics, and Optics 689
  • Neurology 157
  • Endocrinology, Diabetes and Metabolism 264
  • Immunology 334
  • Biological Psychiatry 38
Replace R. F. Bonner with:
R. F. Bonner United States
Takashi Ono Japan
Georg F. Weber United States
Ling Xia China
N. Stanley Nahman United States
Hiroshi Yamashita Japan
M. Casanova Spain
Tao Chen China
Ajay Gupta United States
Keiichi Yamamoto Japan
David Grass relative to R. F. Bonner United States R. F. Bonner's profile →
Citations per field
00.5×3.7×
R. F. Bonner · 1×
Citations per year

Countries citing papers authored by David Grass

Since Specialization
Citations

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

Fields of papers citing papers by David Grass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cooling of a levitated nanoparticle to the motional quantum ground state
Hit paper breakdown →
2020395
2 1999213
3 2013205
4 2020204
5 1993201
6 1996150
7 2000148
8 1999131
9 1999130
10 2002130
11 2002110
12 201999
13 200485
14 200980
15 200073
16 199557
17 199655
18 200752
19 200850
20 199750

About David Grass

David Grass is a scholar working on Aging, Microbiology, Genetics, Endocrinology and Immunology, having authored 44 papers that have together received 3.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), CRISPR and Genetic Engineering (7 papers), Immune Response and Inflammation (4 papers), Mechanical and Optical Resonators (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Antimicrobial Peptides and Activities (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Photonic and Optical Devices (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (689 citations), Neurology (157 citations), Endocrinology, Diabetes and Metabolism (264 citations), Immunology (334 citations) and Biological Psychiatry (38 citations). David Grass has collaborated with scholars based in United States, Finland and Austria. Frequent co-authors include Nikolai Kiesel, Markus Aspelmeyer, Uroš Delić, Timo J. Nevalainen, Manuel Reisenbauer, Vladan Vuletić, Frederick C. de Beer, Kahan Dare, Mark E. Swanson and Stephen G. Young. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of Biological Chemistry, Journal of Virology, Journal of Clinical Investigation and Science Advances.

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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