Carlo Manzo

6.0k total citations · 3 hit papers
64 papers, 4.1k citations indexed

About

Carlo Manzo is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Carlo Manzo has authored 64 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Atomic and Molecular Physics, and Optics and 12 papers in Biomedical Engineering. Recurrent topics in Carlo Manzo's work include Lipid Membrane Structure and Behavior (10 papers), Advanced Fluorescence Microscopy Techniques (7 papers) and Immunotherapy and Immune Responses (7 papers). Carlo Manzo is often cited by papers focused on Lipid Membrane Structure and Behavior (10 papers), Advanced Fluorescence Microscopy Techniques (7 papers) and Immunotherapy and Immune Responses (7 papers). Carlo Manzo collaborates with scholars based in Spain, United States and Italy. Carlo Manzo's co-authors include Domenico Paparo, Lorenzo Marrucci, M.F. Garcia Parajo, Melike Lakadamyali, Maria Aurelia Ricci, Maria Pia Cosma, Maciej Lewenstein, Juan A. Torreño-Pina, Pietro Massignan and G. J. Lapeyre and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Carlo Manzo

62 papers receiving 4.0k citations

Hit Papers

Optical Spin-to-Orbital Angular Momentum Conversion in In... 2006 2026 2012 2019 2006 2015 2015 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlo Manzo Spain 25 1.8k 1.6k 1.1k 622 477 64 4.1k
Lene B. Oddershede Denmark 45 2.2k 1.3× 1.8k 1.1× 2.8k 2.6× 1.0k 1.7× 386 0.8× 132 6.4k
Dieter W. Heermann Germany 40 1.4k 0.8× 1.9k 1.2× 869 0.8× 330 0.5× 151 0.3× 163 7.2k
M.F. Garcia Parajo Spain 49 1.6k 0.9× 2.9k 1.9× 2.6k 2.4× 763 1.2× 1.5k 3.1× 137 7.0k
Kirstine Berg‐Sørensen Denmark 28 1.6k 0.9× 705 0.4× 1.2k 1.1× 84 0.1× 243 0.5× 78 3.3k
Maxime Dahan France 55 2.2k 1.2× 5.5k 3.5× 1.9k 1.8× 464 0.7× 2.5k 5.2× 114 11.1k
Yuval Garini Israel 31 373 0.2× 2.8k 1.8× 780 0.7× 62 0.1× 567 1.2× 102 5.6k
Wolfgang Hübner Germany 30 1.6k 0.9× 895 0.6× 460 0.4× 416 0.7× 474 1.0× 141 4.2k
Olivier Bénichou France 48 669 0.4× 5.2k 3.3× 1.0k 1.0× 95 0.2× 278 0.6× 185 8.0k
Yael Roichman Israel 24 1.2k 0.7× 436 0.3× 1.1k 1.0× 108 0.2× 155 0.3× 71 2.3k
Heiko Rieger Germany 42 2.0k 1.1× 797 0.5× 321 0.3× 204 0.3× 38 0.1× 203 5.5k

Countries citing papers authored by Carlo Manzo

Since Specialization
Citations

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

Fields of papers citing papers by Carlo Manzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlo Manzo

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Manzo. A scholar is included among the top collaborators of Carlo Manzo 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 Carlo Manzo. Carlo Manzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kramer, Eric M., Markus Mund, Mercè Izquierdo-Serra, et al.. (2026). Continuum architecture dynamics of vesicle tethering in exocytosis. Cell. 189(4). 1170–1184.e22.
2.
Manzo, Carlo, et al.. (2024). Learning minimal representations of stochastic processes with variational autoencoders. Physical review. E. 110(1). L012102–L012102. 5 indexed citations
3.
Gutiérrez-Martínez, Enric, Itziar Erkizia, Maier Lorizate, et al.. (2023). Actin-regulated Siglec-1 nanoclustering influences HIV-1 capture and virus-containing compartment formation in dendritic cells. eLife. 12. 12 indexed citations
4.
Manzo, Carlo, Gorka Muñoz-Gil, Giovanni Volpe, et al.. (2023). Preface: characterisation of physical processes from anomalous diffusion data. Journal of Physics A Mathematical and Theoretical. 56(1). 10401–10401. 8 indexed citations
5.
Pineda, Jesús, et al.. (2023). Geometric deep learning reveals the spatiotemporal features of microscopic motion. Nature Machine Intelligence. 5(1). 71–82. 36 indexed citations
6.
Bertrán, J., et al.. (2023). Inferring pointwise diffusion properties of single trajectories with deep learning. Biophysical Journal. 122(22). 4360–4369. 20 indexed citations
7.
Piechocka, Izabela K., Nitin Mohan, Jelena Stanisavljević, et al.. (2021). Shear forces induce ICAM-1 nanoclustering on endothelial cells that impact on T-cell migration. Biophysical Journal. 120(13). 2644–2656. 17 indexed citations
8.
Muñoz-Gil, Gorka, Carlo Manzo, Giovanni Volpe, et al.. (2020). The Anomalous Diffusion Challenge dataset. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations
9.
Otero-Viñas, Marta, et al.. (2020). Research Techniques Made Simple: Deep Learning for the Classification of Dermatological Images. Journal of Investigative Dermatology. 140(3). 507–514.e1. 24 indexed citations
10.
Nath, Sangeeta, Sonja I. Buschow, Carlo Manzo, et al.. (2019). Dynamic actin-mediated nano-scale clustering of CD44 regulates its meso-scale organization at the plasma membrane. Molecular Biology of the Cell. 31(7). 561–579. 30 indexed citations
11.
Zanacchi, Francesca Cella, Carlo Manzo, Raffaella Magrassi, Nathan D. Derr, & Melike Lakadamyali. (2019). Quantifying Protein Copy Number in Super Resolution Using an Imaging-Invariant Calibration. Biophysical Journal. 116(11). 2195–2203. 27 indexed citations
12.
Zanacchi, Francesca Cella, Carlo Manzo, Ángel Sandoval Álvarez, et al.. (2017). A DNA origami platform for quantifying protein copy number in super-resolution. Nature Methods. 14(8). 789–792. 79 indexed citations
13.
Torreño-Pina, Juan A., Carlo Manzo, Mariolina Salio, et al.. (2016). The actin cytoskeleton modulates the activation of iNKT cells by segregating CD1d nanoclusters on antigen-presenting cells. Proceedings of the National Academy of Sciences. 113(6). E772–81. 27 indexed citations
14.
Manzo, Carlo, Juan A. Torreño-Pina, Pietro Massignan, et al.. (2015). Weak Ergodicity Breaking of Membrane Receptor Motion Stemming from Random Diffusivity. Biophysical Journal. 108(2). 418a–418a. 1 indexed citations
15.
Ding, Yue, Carlo Manzo, Géraldine Fulcrand, et al.. (2014). DNA supercoiling: A regulatory signal for the λ repressor. Proceedings of the National Academy of Sciences. 111(43). 15402–15407. 43 indexed citations
16.
Torreño-Pina, Juan A., Bruno Sotto-Mayor, Carlo Manzo, et al.. (2014). Enhanced receptor–clathrin interactions induced by N -glycan–mediated membrane micropatterning. Proceedings of the National Academy of Sciences. 111(30). 11037–11042. 57 indexed citations
17.
Mendes, Marta Adelina, Rosalinda F. Guerra, Markus C. Berns, et al.. (2013). MADS Domain Transcription Factors Mediate Short-Range DNA Looping That Is Essential for Target Gene Expression in Arabidopsis. The Plant Cell. 25(7). 2560–2572. 63 indexed citations
18.
Manzo, Carlo, Chiara Zurla, David Dunlap, & Laura Finzi. (2012). The Effect of Nonspecific Binding of Lambda Repressor on DNA Looping Dynamics. Biophysical Journal. 103(8). 1753–1761. 20 indexed citations
19.
Dries, Koen van den, Suzanne F. G. van Helden, Joost te Riet, et al.. (2011). Geometry sensing by dendritic cells dictates spatial organization and PGE2-induced dissolution of podosomes. Cellular and Molecular Life Sciences. 69(11). 1889–1901. 64 indexed citations
20.
Höfer, Manuel, Thomas S. van Zanten, Lilia A. Chtcheglova, et al.. (2010). Molecular recognition imaging using tuning fork-based transverse dynamic force microscopy. Ultramicroscopy. 110(6). 605–611. 19 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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