Daniel Stoffler

31 papers receiving 1.6k citations

Peers

Daniel Stoffler
Comparison fields: 5 of 129
  • Structural Biology 113
  • Cell Biology 373
  • Molecular Biology 1.1k
  • Biophysics 88
  • Human-Computer Interaction 76
Replace Nicholas Ariotti with:
Nicholas Ariotti Australia
James A. Rae Australia
Thomas Bornschlögl France
Mark A. Tsuchida United States
James T. McColl United Kingdom
Qiangfeng Cliff Zhang China
Henry Pinkard United States
Graham T. Johnson United States
Matthieu G. Chavent France
Rikiya Watanabe Japan
Daniel Stoffler relative to Nicholas Ariotti Australia Nicholas Ariotti's profile →
Citations per field
00.5×1.5×1.8×
Nicholas Ariotti · 1×
Citations per year

Countries citing papers authored by Daniel Stoffler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Stoffler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Stoffler, 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 Stoffler Line = papers co-authored together Daniel Stoffler 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 1999300
2 2003199
3 1996157
4 1999137
5 2005117
6 1999112
7 199793
8 199871
9 200066
10 200556
11 200047
12 199544
13 200640
14 200136
15 199936
16 200632
17 200520
18 200620
19 202219
20 200718

About Daniel Stoffler

Daniel Stoffler is a scholar working on Cell Biology, Structural Biology, Atomic and Molecular Physics, and Optics, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (9 papers), Nuclear Structure and Function (8 papers), RNA Research and Splicing (6 papers), Cardiomyopathy and Myosin Studies (6 papers), Cellular Mechanics and Interactions (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Augmented Reality Applications (3 papers) and Virtual Reality Applications and Impacts (3 papers). The work is most often cited by research in Structural Biology (113 citations), Cell Biology (373 citations), Molecular Biology (1.1k citations), Biophysics (88 citations) and Human-Computer Interaction (76 citations). Daniel Stoffler has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Ueli Aebi, Birthe Fahrenkrog, Harold Erickson, Bernhard Feja, Michel F. Sanner, Arthur J. Olson, Michel Olivier Steinmetz, Kenneth N. Goldie, Dieter Typke and Jochen Christoph Walz. Their work appears in journals such as Journal of Molecular Biology, Journal of Structural Biology, Journal of Cheminformatics, Microscopy and Microanalysis and Bioinformatics.

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.

Explore authors with similar magnitude of impact