John Manzi

2.4k total citations
31 papers, 1.7k citations indexed

About

John Manzi is a scholar working on Cell Biology, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, John Manzi has authored 31 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cell Biology, 16 papers in Molecular Biology and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in John Manzi's work include Cellular Mechanics and Interactions (15 papers), Lipid Membrane Structure and Behavior (11 papers) and Force Microscopy Techniques and Applications (9 papers). John Manzi is often cited by papers focused on Cellular Mechanics and Interactions (15 papers), Lipid Membrane Structure and Behavior (11 papers) and Force Microscopy Techniques and Applications (9 papers). John Manzi collaborates with scholars based in France, Switzerland and United States. John Manzi's co-authors include Patricia Bassereau, Aurélien Roux, Andrew Callan-Jones, Martin Lenz, Feng‐Ching Tsai, Sandrine Morlot, Benoît Sorre, Jacques Prost, Cécile Sykes and Bruno Goud and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

John Manzi

29 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Manzi France 21 1.0k 823 304 264 170 31 1.7k
Feng‐Ching Tsai France 20 920 0.9× 578 0.7× 286 0.9× 153 0.6× 167 1.0× 30 1.6k
Adai Colom Switzerland 20 1.0k 1.0× 530 0.6× 228 0.8× 366 1.4× 265 1.6× 35 1.8k
Sanjeevi Sivasankar United States 22 925 0.9× 813 1.0× 238 0.8× 405 1.5× 225 1.3× 55 1.8k
Damien Cuvelier France 18 775 0.8× 993 1.2× 486 1.6× 224 0.8× 128 0.8× 23 1.8k
Emmanuel Derivery United Kingdom 23 1.7k 1.6× 1.1k 1.3× 336 1.1× 154 0.6× 237 1.4× 37 2.8k
Martin P. Stewart Switzerland 14 1.3k 1.3× 799 1.0× 1.0k 3.3× 254 1.0× 117 0.7× 19 2.6k
Cheng‐han Yu United States 22 832 0.8× 744 0.9× 318 1.0× 268 1.0× 49 0.3× 42 1.6k
Kazushige Kawabata Japan 22 477 0.5× 809 1.0× 443 1.5× 388 1.5× 79 0.5× 74 1.6k
Jeanne C. Stachowiak United States 27 2.4k 2.3× 1.1k 1.3× 716 2.4× 426 1.6× 147 0.9× 87 3.3k
Srigokul Upadhyayula United States 21 663 0.6× 370 0.4× 242 0.8× 82 0.3× 241 1.4× 40 1.6k

Countries citing papers authored by John Manzi

Since Specialization
Citations

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

Fields of papers citing papers by John Manzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Manzi

This figure shows the co-authorship network connecting the top 25 collaborators of John Manzi. A scholar is included among the top collaborators of John Manzi 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 John Manzi. John Manzi 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.
Adar, R, Anne‐Sophie Macé, John Manzi, et al.. (2025). Cell adhesion and spreading on fluid membranes through microtubules-dependent mechanotransduction. Nature Communications. 16(1). 1201–1201. 3 indexed citations
2.
Cicco, Aurélie Di, et al.. (2024). Galactocerebroside Lipid Nanotubes, a Model Membrane System for Studying Membrane-Associated Proteins on a Molecular Scale. Methods in molecular biology. 2888. 237–248.
3.
Tsai, Feng‐Ching, J. Michael Henderson, Elena Kremneva, et al.. (2022). Activated I-BAR IRSp53 clustering controls the formation of VASP-actin–based membrane protrusions. Science Advances. 8(41). eabp8677–eabp8677. 25 indexed citations
4.
Tsai, Feng‐Ching, Mijo Simunovic, Benoît Sorre, et al.. (2021). Comparing physical mechanisms for membrane curvature-driven sorting of BAR-domain proteins. Soft Matter. 17(16). 4254–4265. 20 indexed citations
5.
Mora, E. De la, Manuela Dezi, Aurélie Di Cicco, et al.. (2021). Nanoscale architecture of a VAP-A-OSBP tethering complex at membrane contact sites. Nature Communications. 12(1). 3459–3459. 38 indexed citations
6.
Bouzid, Mehdi, Timo Betz, Camille Simon, et al.. (2020). Actin modulates shape and mechanics of tubular membranes. Science Advances. 6(17). eaaz3050–eaaz3050. 15 indexed citations
7.
Kusters, Rémy, et al.. (2020). Capping protein is dispensable for polarized actin network growth and actin-based motility. Journal of Biological Chemistry. 295(45). 15366–15375. 1 indexed citations
9.
Emilsson, Gustav, Bita Malekian, Kunli Xiong, et al.. (2019). Nanoplasmonic Sensor Detects Preferential Binding of IRSp53 to Negative Membrane Curvature. Frontiers in Chemistry. 7. 1–1. 282 indexed citations
10.
Simon, Camille, Rémy Kusters, Valentina Caorsi, et al.. (2019). Actin dynamics drive cell-like membrane deformation. Nature Physics. 15(6). 602–609. 66 indexed citations
11.
Manzi, John, et al.. (2018). Functional and Structural Studies of Interplay between an ABC Transporter and its Surrounding Membrane Environment. Biophysical Journal. 114(3). 188a–189a. 1 indexed citations
12.
Lenz, Martin, Timo Betz, John Manzi, et al.. (2017). Adaptive Response of Actin Bundles under Mechanical Stress. Biophysical Journal. 113(5). 1072–1079. 23 indexed citations
13.
Lemière, Joël, Clément Campillo, Matthias Bussonnier, et al.. (2016). Cell-sized liposome doublets reveal active tension build-up driven by acto-myosin dynamics. Soft Matter. 12(29). 6223–6231. 19 indexed citations
14.
Saleem, Mohammed, Sandrine Morlot, Annika Hohendahl, et al.. (2015). A balance between membrane elasticity and polymerization energy sets the shape of spherical clathrin coats. Nature Communications. 6(1). 6249–6249. 148 indexed citations
15.
Prévost, Coline, Hongxia Zhao, John Manzi, et al.. (2015). IRSp53 senses negative membrane curvature and phase separates along membrane tubules. Nature Communications. 6(1). 8529–8529. 158 indexed citations
16.
Guevorkian, Karine, John Manzi, Léa-Lætitia Pontani, Françoise Brochard‐Wyart, & Cécile Sykes. (2015). Mechanics of Biomimetic Liposomes Encapsulating an Actin Shell. Biophysical Journal. 109(12). 2471–2479. 44 indexed citations
17.
Bassereau, Patricia, Aurélien Roux, Benoît Sorre, et al.. (2012). Proteins Shaping Membranes : Quantitative Measurements. Biophysical Journal. 102(3). 234a–234a. 1 indexed citations
18.
Morlot, Sandrine, Valentina Galli, Marius Klein, et al.. (2012). Membrane Shape at the Edge of the Dynamin Helix Sets Location and Duration of the Fission Reaction. Cell. 151(3). 619–629. 143 indexed citations
19.
Aimon, Sophie, John Manzi, Daniel Schmidt, et al.. (2011). Functional Reconstitution of a Voltage-Gated Potassium Channel in Giant Unilamellar Vesicles. PLoS ONE. 6(10). e25529–e25529. 98 indexed citations
20.
Manzi, John, et al.. (2011). The Mechanical Role of VASP in an Arp2/3-Complex-Based Motility Assay. Journal of Molecular Biology. 413(3). 573–583. 7 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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