Daniel Stoffler

2.1k citations
32 papers · 1.7k · h-index 19

Impact in

    • Advanced Electron Microscopy Techniques and Applications
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics

Papers in

Daniel Stoffler

32 papers receiving 1.6k citations

Peers

Daniel Stoffler
Comparison fields: 5 of 124
  • Structural Biology 105
  • Cell Biology 410
  • Urology 88
  • Molecular Biology 1.1k
  • Biophysics 87
Replace Olga S. Sokolova with:
Olga S. Sokolova Russia
Thomas Bornschlögl France
Graham Wright Singapore
Karine Gousset United States
Thomas D. Pollard United States
Feng‐Chiao Tsai Taiwan
Steve Reichow United States
Qiangfeng Cliff Zhang China
Ivan E. Ivanov United States
Timo Zimmermann Germany
Daniel Stoffler relative to Olga S. Sokolova Russia Olga S. Sokolova's profile →
Citations per field
00.5×5.2×
Olga S. Sokolova · 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999286
2 2003189
3 1996149
4 1999130
5 1999104
6 200596
7 199790
8 199870
9 200265
10 200062
11 200551
12 200247
13 200043
14 200639
15 199537
16 199934
17 200132
18 200631
19 200621
20 200516

About Daniel Stoffler

Daniel Stoffler is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Cell Biology, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (10 papers), Nuclear Structure and Function (8 papers), Cellular Mechanics and Interactions (6 papers), RNA Research and Splicing (6 papers), Cardiomyopathy and Myosin Studies (6 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), Virtual Reality Applications and Impacts (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Structural Biology (105 citations), Cell Biology (410 citations), Urology (88 citations), Molecular Biology (1.1k citations) and Biophysics (87 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, Michel O. Steinmetz, Arthur J. Olson, Kenneth N. Goldie, Jochen Walz and Dieter Typke. Their work appears in journals such as Journal of Molecular Biology, Journal of Structural Biology, Journal of Cheminformatics, The Journal of Cell Biology and The FASEB Journal.

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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