Mario Orsi
Impact in
- Molecular Biology top 10%
- Lipid Membrane Structure and Behavior
- Protein Structure and Dynamics
- RNA Interference and Gene Delivery
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- Spectroscopy and Quantum Chemical Studies
- Force Microscopy Techniques and Applications
Papers in
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- Theoretical and Computational Physics 4
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- Electrostatics and Colloid Interactions 3
- Co-authors
- Jonathan W. EssexMichail PalaiokostasWendy E. SandersonWei DingJulien MichelWen WangAlberto RedaelliMarco A. Deriu
- Journals
- The Journal of Physical Chemistry B (4 papers)Soft Matter (2 papers)Molecular Simulation (1 paper)Biomechanics and Modeling in Mechanobiology (1 paper)Chemical and Biological Technologies in Agriculture (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Mario Orsi
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 869
- Atomic and Molecular Physics, and Optics 347
- Microbiology 50
- Physical and Theoretical Chemistry 72
- Cell Biology 110
Countries citing papers authored by Mario Orsi
This map shows the geographic impact of Mario Orsi'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 Mario Orsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Orsi more than expected).
Fields of papers citing papers by Mario Orsi
This network shows the impact of papers produced by Mario Orsi. 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 Mario Orsi. The network helps show where Mario Orsi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Orsi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 12 | |
| 2 | 2021 | 1 | |
| 3 | 2019 | 105 | |
| 4 | 2019 | 23 | |
| 5 | 2018 | 6 | |
| 6 | 2017 | 23 | |
| 7 | 2015 | 19 | |
| 8 | 2015 | 73 | |
| 9 | 2014 | 42 | |
| 10 | 2013 | 84 | |
| 11 | 2012 | 54 | |
| 12 | 2012 | 4 | |
| 13 | 2011 | 138 | |
| 14 | 2010 | 72 | |
| 15 | 2010 | 90 | |
| 16 | 2010 | 47 | |
| 17 | 2010 | 1 | |
| 18 | 2009 | 142 | |
| 19 | 2007 | 109 | |
| 20 | 2006 | 24 |
About Mario Orsi
Mario Orsi is a scholar working on Condensed Matter Physics, Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics, Molecular Biology and Computer Science Applications, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (15 papers), Spectroscopy and Quantum Chemical Studies (9 papers), Protein Structure and Dynamics (6 papers), Nanopore and Nanochannel Transport Studies (6 papers), Theoretical and Computational Physics (4 papers), Electrostatics and Colloid Interactions (3 papers), Surfactants and Colloidal Systems (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Molecular Biology (869 citations), Atomic and Molecular Physics, and Optics (347 citations), Microbiology (50 citations), Physical and Theoretical Chemistry (72 citations) and Cell Biology (110 citations). Mario Orsi has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Jonathan W. Essex, Michail Palaiokostas, Wendy E. Sanderson, Wei Ding, Julien Michel, Wen Wang, Alberto Redaelli, Marco A. Deriu, Monica Soncini and Massimo G. Noro. Their work appears in journals such as The Journal of Physical Chemistry B, Soft Matter, Molecular Simulation, Biomechanics and Modeling in Mechanobiology and Chemical and Biological Technologies in Agriculture.
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.