John Manzi

2.4k citations
32 papers · 1.8k · h-index 21

Impact in

    • Cellular transport and secretion
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Lipid Membrane Structure and Behavior
    • Protein Structure and Dynamics

Papers in

    • Cellular Mechanics and Interactions 15
    • Cellular transport and secretion 9
    • Microtubule and mitosis dynamics 6
    • Lipid Membrane Structure and Behavior 11

John Manzi

30 papers receiving 1.8k citations

Peers

John Manzi
Comparison fields: 5 of 114
  • Cell Biology 827
  • Molecular Biology 1.0k
  • Biophysics 83
  • Immunology and Allergy 65
  • Aging 15
Replace Feng‐Ching Tsai with:
Feng‐Ching Tsai France
Mijo Simunovic United States
Damien Cuvelier France
Martin P. Stewart Switzerland
Nicolas Borghi France
Benoît Sorre France
Michael D. Brenner United States
Irène Wang France
Emmanuel Derivery United Kingdom
Kyoko Okada Japan
John Manzi relative to Feng‐Ching Tsai France Feng‐Ching Tsai's profile →
Citations per field
00.5×1.5×2.1×
Feng‐Ching Tsai · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019298
2 2011239
3 2015164
4 2015150
5 2012146
6 2011100
7 201272
8 201369
9 201969
10 201858
11 201753
12 201450
13 201545
14 201844
15 201240
16 202140
17 202227
18 202126
19 201826
20 201722

About John Manzi

John Manzi is a scholar working on Cell Biology, Molecular Biology, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Physiology, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (15 papers), Lipid Membrane Structure and Behavior (11 papers), Force Microscopy Techniques and Applications (9 papers), Cellular transport and secretion (9 papers), Microtubule and mitosis dynamics (6 papers), 3D Printing in Biomedical Research (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Cell Biology (827 citations), Molecular Biology (1.0k citations), Biophysics (83 citations), Immunology and Allergy (65 citations) and Aging (15 citations). John Manzi has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Patricia Bassereau, Aurélien Roux, Andrew Callan-Jones, Martin Lenz, Feng‐Ching Tsai, Sandrine Morlot, Benoît Sorre, Cécile Sykes, Jacques Prost and Bruno Goud. Their work appears in journals such as Nature Communications, Biophysical Journal, Proceedings of the National Academy of Sciences, Soft Matter and eLife.

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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