Sara Capponi

1.1k total citations
34 papers, 676 citations indexed

About

Sara Capponi is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Sara Capponi has authored 34 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Atomic and Molecular Physics, and Optics and 7 papers in Materials Chemistry. Recurrent topics in Sara Capponi's work include Spectroscopy and Quantum Chemical Studies (8 papers), Protein Structure and Dynamics (7 papers) and Material Dynamics and Properties (7 papers). Sara Capponi is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (8 papers), Protein Structure and Dynamics (7 papers) and Material Dynamics and Properties (7 papers). Sara Capponi collaborates with scholars based in United States, Spain and Switzerland. Sara Capponi's co-authors include Stephen H. White, Juan Colmenero, Kyle G. Daniels, Douglas J. Tobias, Simone Bianco, Shangying Wang, Ana‐Nicoleta Bondar, B. Frick, Arantxa Arbe and J. Alfredo Freites and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Sara Capponi

34 papers receiving 667 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sara Capponi United States	16	351	151	108	81	75	34	676
Pablo Castro‐Hartmann Spain	19	580 1.7×	169 1.1×	125 1.2×	74 0.9×	27 0.4×	26	955
J. Schaffer Germany	7	467 1.3×	116 0.8×	126 1.2×	105 1.3×	41 0.5×	8	965
Anna A. De Angelis United States	20	887 2.5×	258 1.7×	57 0.5×	80 1.0×	110 1.5×	27	1.5k
Mihaela Mihailescu United States	19	855 2.4×	162 1.1×	131 1.2×	246 3.0×	18 0.2×	31	1.3k
Alessandro Spilotros Germany	10	431 1.2×	234 1.5×	74 0.7×	23 0.3×	20 0.3×	15	702
Aleksandra P. Dabkowska Sweden	17	752 2.1×	87 0.6×	166 1.5×	127 1.6×	19 0.3×	30	1.0k
Susanne Liese Germany	15	420 1.2×	73 0.5×	121 1.1×	117 1.4×	19 0.3×	31	772
Zhong Huang China	17	606 1.7×	369 2.4×	39 0.4×	102 1.3×	38 0.5×	46	1.2k
Yu-Pin Lin Taiwan	10	863 2.5×	229 1.5×	148 1.4×	91 1.1×	25 0.3×	13	1.2k
Dieter K. Schneider United States	20	682 1.9×	413 2.7×	221 2.0×	88 1.1×	30 0.4×	51	1.7k

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-authorship network of co-authors of Sara Capponi

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Capponi. A scholar is included among the top collaborators of Sara Capponi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sara Capponi. Sara Capponi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shi, Jie, et al.. (2024). ML-enhanced peroxisome capacity enables compartmentalization of multienzyme pathway. Nature Chemical Biology. 21(5). 727–735. 14 indexed citations

González, Sergio, Ashwini Oke, Raymond M. Esquerra, et al.. (2024). A High-Throughput Method for Quantifying Drosophila Fecundity. Toxics. 12(9). 658–658. 2 indexed citations

Capponi, Sara & Shangying Wang. (2024). AI in cellular engineering and reprogramming. Biophysical Journal. 123(17). 2658–2670. 7 indexed citations

Yeh, Ming Te, et al.. (2023). A tradeoff between enterovirus A71 particle stability and cell entry. Nature Communications. 14(1). 7450–7450. 7 indexed citations

Capponi, Sara & Kyle G. Daniels. (2023). Harnessing the power of artificial intelligence to advance cell therapy. Immunological Reviews. 320(1). 147–165. 24 indexed citations

Wang, Shangying, Sara Capponi, & Simone Bianco. (2022). Inferring Conditional Probability Distributions of Noisy Gene Expression from Limited Observations by Deep Learning. 1(6). 504–513. 2 indexed citations

Chen, Yuanyuan, Marcos Sotomayor, Sara Capponi, et al.. (2022). A hydrophilic microenvironment in the substrate-translocating groove of the YidC membrane insertase is essential for enzyme function. Journal of Biological Chemistry. 298(3). 101690–101690. 12 indexed citations

Capponi, Sara, et al.. (2021). AI-driven prediction of SARS-CoV-2 variant binding trends from atomistic simulations. The European Physical Journal E. 44(10). 123–123. 5 indexed citations

Natale, Andrew M., Marco Lolicato, Fayal Abderemane-Ali, et al.. (2021). K2PChannel C-Type Gating Involves Asymmetric Selectivity Filter Order-Disorder Transitions. Biophysical Journal. 120(3). 111a–112a. 2 indexed citations

10.

Lolicato, Marco, Andrew M. Natale, Fayal Abderemane-Ali, et al.. (2020). K _2P channel C-type gating involves asymmetric selectivity filter order-disorder transitions. Science Advances. 6(44). 56 indexed citations

11.

Capponi, Sara, et al.. (2019). A multiscale model of mechanotransduction by the ankyrin chains of the NOMPC channel. The Journal of General Physiology. 151(3). 316–327. 16 indexed citations

12.

Bokoch, Michael P., Hyunil Jo, James R. Valcourt, et al.. (2018). Entry from the Lipid Bilayer: A Possible Pathway for Inhibition of a Peptide G Protein-Coupled Receptor by a Lipophilic Small Molecule. Biochemistry. 57(39). 5748–5758. 22 indexed citations

13.

Capponi, Sara, Stephen H. White, Douglas J. Tobias, & Matthias Heyden. (2018). Structural Relaxation Processes and Collective Dynamics of Water in Biomolecular Environments. The Journal of Physical Chemistry B. 123(2). 480–486. 14 indexed citations

14.

Capponi, Sara, et al.. (2017). Water Dynamics at the Bilayer Interface is Similar to that within the SecY Translocon. Biophysical Journal. 112(3). 378a–378a. 1 indexed citations

15.

Chen, Yuanyuan, Sara Capponi, Lu Zhu, et al.. (2017). YidC Insertase of Escherichia coli: Water Accessibility and Membrane Shaping. Structure. 25(9). 1403–1414.e3. 46 indexed citations

16.

Capponi, Sara, J. Alfredo Freites, Douglas J. Tobias, & Stephen H. White. (2015). Interleaflet mixing and coupling in liquid-disordered phospholipid bilayers. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1858(2). 354–362. 31 indexed citations

17.

Capponi, Sara, Matthias Heyden, Ana‐Nicoleta Bondar, Douglas J. Tobias, & Stephen H. White. (2015). Anomalous behavior of water inside the SecY translocon. Proceedings of the National Academy of Sciences. 112(29). 9016–9021. 40 indexed citations

18.

Capponi, Sara, Arantxa Arbe, Silvina Cerveny, et al.. (2011). Quasielastic neutron scattering study of hydrogen motions in an aqueous poly(vinyl methyl ether) solution. The Journal of Chemical Physics. 134(20). 204906–204906. 35 indexed citations

19.

Capponi, Sara, et al.. (2010). Structural Relaxation in Nanometer Thin Layers of Glycerol. The Journal of Physical Chemistry C. 114(39). 16696–16699. 31 indexed citations

20.

Cornicchi, E., et al.. (2008). Thermal fluctuations of DNA enclosed by glycerol–water glassy matrices: an elastic neutron scattering investigation. European Biophysics Journal. 37(5). 583–590. 4 indexed citations

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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