Sara Capponi

1.1k citations
36 papers · 710 · h-index 17

Impact in

Papers in

Sara Capponi

34 papers receiving 703 citations

Peers

Sara Capponi
Comparison fields: 5 of 108
  • Molecular Biology 356
  • Fluid Flow and Transfer Processes 32
  • Polymers and Plastics 55
  • Modeling and Simulation 17
  • Cellular and Molecular Neuroscience 57
Replace Tomasz Kalwarczyk with:
Tomasz Kalwarczyk Poland
Gladys Massiera France
Tine Curk United Kingdom
Natalia Ziębacz Poland
Mattias Karlsson Sweden
Shuyan Qi United States
Stephen R. Quake United States
Seong K. Kim United States
Dieter K. Schneider United States
Adar Sonn-Segev Israel
Sara Capponi relative to Tomasz Kalwarczyk Poland Tomasz Kalwarczyk's profile →
Citations per field
00.5×5.5×
Tomasz Kalwarczyk · 1×
Citations per year

Countries citing papers authored by Sara Capponi

Since Specialization
Citations

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

Fields of papers citing papers by Sara Capponi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202285
2 202059
3 201750
4 202147
5 201540
6 201135
7 201234
8 201532
9 201532
10 201031
11 202328
12 200923
13 201822
14 200621
15 202418
16 200918
17 201917
18 201814
19 202213
20 202013

About Sara Capponi

Sara Capponi is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Materials Chemistry, Biomedical Engineering and Infectious Diseases, having authored 36 papers that have together received 710 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (9 papers), Protein Structure and Dynamics (7 papers), Material Dynamics and Properties (7 papers), Lipid Membrane Structure and Behavior (5 papers), RNA and protein synthesis mechanisms (4 papers), NMR spectroscopy and applications (3 papers), Ion channel regulation and function (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). The work is most often cited by research in Molecular Biology (356 citations), Fluid Flow and Transfer Processes (32 citations), Polymers and Plastics (55 citations), Modeling and Simulation (17 citations) and Cellular and Molecular Neuroscience (57 citations). Sara Capponi has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Stephen H. White, Kyle G. Daniels, Juan Colmenero, Douglas J. Tobias, Simone Bianco, Shangying Wang, Ana‐Nicoleta Bondar, Arantxa Arbe, F. Álvarez and J. Alfredo Freites. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B, Biophysical Journal, Viruses 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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