Ben Fabry

19.8k citations
206 papers · 16.4k · 3 hit papers · h-index 73

Impact in

Papers in

Ben Fabry

199 papers receiving 16.1k citations

Ben Fabry's Hit Papers

Microrheology of Human Lung Epithelial Cells Measured by Atomic Force Microscopy 2003 · 614 citations
6140+8+16Years since publication2505007501k

Peers

Ben Fabry
Comparison fields: 5 of 176
  • Cell Biology 8.5k
  • Immunology and Allergy 441
  • Molecular Medicine 571
  • Modeling and Simulation 329
  • Biomaterials 767
Replace Paul Thomas Matsudaira with:
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Citations per field
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Citations per year

Countries citing papers authored by Ben Fabry

Since Specialization
Citations

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

Fields of papers citing papers by Ben Fabry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Scaling the Microrheology of Living Cells
Hit paper breakdown →
20011050
2
Traction fields, moments, and strain energy that cells exert on their surroundings
Hit paper breakdown →
2002876
3
Microrheology of Human Lung Epithelial Cells Measured by Atomic Force Microscopy
Hit paper breakdown →
2003614
4 2005412
5 2011347
6 2015334
7 2007324
8 2003322
9 2012277
10 2015266
11 2008259
12 2013243
13 2016239
14 2011232
15 2000220
16 2003214
17 2015194
18 2000186
19 2009185
20 2002180

About Ben Fabry

Ben Fabry is a scholar working on Cell Biology, Pulmonary and Respiratory Medicine, Biophysics, Biomaterials and Molecular Medicine, having authored 206 papers that have together received 16.4k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (101 papers), Respiratory Support and Mechanisms (17 papers), Avian ecology and behavior (9 papers), Asthma and respiratory diseases (8 papers), Skin and Cellular Biology Research (8 papers), Cell Image Analysis Techniques (7 papers), Hydrogels: synthesis, properties, applications (7 papers) and 3D Printing in Biomedical Research (7 papers). The work is most often cited by research in Cell Biology (8.5k citations), Immunology and Allergy (441 citations), Molecular Medicine (571 citations), Modeling and Simulation (329 citations) and Biomaterials (767 citations). Ben Fabry has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jeffrey J. Fredberg, James P. Butler, Philip Kollmannsberger, Daniel Navajas, Geoffrey N. Maksym, Claudia Tanja Mierke, Stefan Münster, Iva M. Tolić, Michael Glogauer and Wolfgang H. Goldmann. Their work appears in journals such as Biophysical Journal, PLoS ONE, Journal of Applied Physiology, Scientific Reports and Nature Communications.

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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