Michael Smutny

1.2k citations
14 papers · 874 indexed · h-index 11

Impact in

    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Hippo pathway signaling and YAP/TAZ
    • Cell Adhesion Molecules Research

Papers in

Michael Smutny

14 papers receiving 860 citations

Peers

Michael Smutny
Comparison fields: 5 of 84
  • Cell Biology 650
  • Immunology and Allergy 94
  • Aging 12
  • Molecular Biology 405
  • Biophysics 33
Replace Florian Ulrich with:
Florian Ulrich United States
Anan Ragab United Kingdom
Silvanus Alt Germany
Simon de Beco France
Elena Scarpa United Kingdom
Jessica K. Sawyer United States
Sylvie Coscoy France
Tamako Nishimura Japan
Priyamvada Chugh United Kingdom
Rashmi Priya Australia
Michael Smutny relative to Florian Ulrich United States Florian Ulrich's profile →
Citations per field
00.5×2.7×
Florian Ulrich · 1×
Citations per year

Countries citing papers authored by Michael Smutny

Since Specialization
Citations

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

Fields of papers citing papers by Michael Smutny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 20252
2 202211
3 20218
4 202114
5 201939
6 201822
7 201772
8 2015316
9 201427
10 201135
11 2010260
12 201043
13 200918
14 20047

About Michael Smutny

Michael Smutny is a scholar working on Cell Biology, Condensed Matter Physics, Molecular Biology, Physiology and Genetics, having authored 14 papers that have together received 874 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (10 papers), Developmental Biology and Gene Regulation (5 papers), Microtubule and mitosis dynamics (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Erythrocyte Function and Pathophysiology (2 papers), Micro and Nano Robotics (2 papers) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Cell Biology (650 citations), Immunology and Allergy (94 citations), Aging (12 citations), Molecular Biology (405 citations) and Biophysics (33 citations). Michael Smutny has collaborated with scholars based in Austria, United Kingdom and Australia. Frequent co-authors include Alpha S. Yap, Carl‐Philipp Heisenberg, Verena Ruprecht, Nicholas Hamilton, Keisuke Sako, Michael Sixt, Andrew Callan-Jones, Vanessa Barone, Monika Ritsch‐Marte and Hitoshi Morita. Their work appears in journals such as Nature Cell Biology, Nature Communications, The Journal of Cell Biology, Seminars in Cell and Developmental Biology and Frontiers in Cell and Developmental Biology.

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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