Michael A. Nash

785 citations
34 papers · 475 · h-index 14

Impact in

Papers in

Michael A. Nash

31 papers receiving 469 citations

Peers

Michael A. Nash
Comparison fields: 5 of 80
  • Structural Biology 10
  • Atomic and Molecular Physics, and Optics 135
  • Molecular Biology 293
  • Surfaces, Coatings and Films 22
  • Biomaterials 41
Replace Hudson Pace with:
Hudson Pace Sweden
Klara H. Malinowska Germany
Wendy A. Breyer United States
Masumi Iijima Japan
Robert J. Rawle United States
Yangang Pan United States
Michael C. Howland United States
Constantin Schoeler Germany
Jaime Andrés Rivas‐Pardo United States
Michael A. Nash relative to Hudson Pace Sweden Hudson Pace's profile →
Citations per field
00.5×3.3×
Hudson Pace · 1×
Citations per year

Countries citing papers authored by Michael A. Nash

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Nash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Nash. 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 Michael A. Nash. The network helps show where Michael A. Nash may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201960
2 202052
3 202246
4 201930
5 202130
6 201929
7 201924
8 201822
9 202421
10 201819
11 202018
12 202316
13 202016
14 202413
15 202213
16 20237
17 20227
18 20227
19 20236
20 20236

About Michael A. Nash

Michael A. Nash is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 34 papers that have together received 475 indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (14 papers), Biochemical and Structural Characterization (7 papers), Protein Structure and Dynamics (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Mechanical and Optical Resonators (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Amino Acid Enzymes and Metabolism (4 papers) and Connective tissue disorders research (2 papers). The work is most often cited by research in Structural Biology (10 citations), Atomic and Molecular Physics, and Optics (135 citations), Molecular Biology (293 citations), Surfaces, Coatings and Films (22 citations) and Biomaterials (41 citations). Michael A. Nash has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Haipei Liu, Duy Tien Ta, Zhaowei Liu, Rafael C. Bernardi, Byeongseon Yang, Philip Tinnefeld, Andrés Manuel Vera, Klara H. Malinowska, Constantin Schoeler and Bruna Gregatti de Carvalho. Their work appears in journals such as Nature Communications, Nano Letters, Journal of the American Chemical Society, Angewandte Chemie International Edition and iScience.

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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