Massimo Vassalli

3.2k citations
131 papers · 2.4k · h-index 28

Impact in

Papers in

Massimo Vassalli

125 papers receiving 2.3k citations

Peers

Massimo Vassalli
Comparison fields: 5 of 149
  • Cell Biology 413
  • Biophysics 132
  • Biomaterials 280
  • Physiology 408
  • Biomedical Engineering 611
Replace Allen J. Ehrlicher with:
Allen J. Ehrlicher Canada
Poul Martin Bendix Denmark
Marino Arroyo Spain
George Lykotrafitis United States
Bo Sun China
Martial Balland France
Ming Guo United States
Mian Long China
Jeffrey R. Moore United States
Emmanuel Farge France
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Citations per field
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Citations per year

Countries citing papers authored by Massimo Vassalli

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Vassalli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000183
2 2019134
3 2020119
4 2015110
5 201182
6 201557
7 201952
8 201846
9 201546
10 202045
11 201044
12 201242
13 202141
14 200641
15 201339
16 200536
17 201936
18 200634
19 202133
20 201032

About Massimo Vassalli

Massimo Vassalli is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics, Cell Biology, Molecular Biology and Physiology, having authored 131 papers that have together received 2.4k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (26 papers), Cellular Mechanics and Interactions (26 papers), Erythrocyte Function and Pathophysiology (16 papers), Mechanical and Optical Resonators (13 papers), Microfluidic and Bio-sensing Technologies (12 papers), 3D Printing in Biomedical Research (11 papers), Supramolecular Self-Assembly in Materials (10 papers) and Blood properties and coagulation (9 papers). The work is most often cited by research in Cell Biology (413 citations), Biophysics (132 citations), Biomaterials (280 citations), Physiology (408 citations) and Biomedical Engineering (611 citations). Massimo Vassalli has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Bruno Tiribilli, Boris Martinac, Pietro Ridone, Francesca Sbrana, Antonio Politi, Cristian Giardinà, Roberto Livi, Paola Gavazzo, Federica Viti and Loredana Petecchia. Their work appears in journals such as Applied Physics Letters, European Biophysics Journal, Sensors, Nature Communications and Biophysical Reviews.

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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