Maohan Su

404 citations
9 papers · 196 · h-index 7

Impact in

  • Biophysics top 10%
    • Advanced Fluorescence Microscopy Techniques
    • Cell Image Analysis Techniques
    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics

Papers in

    • Cellular Mechanics and Interactions 5
    • Cellular transport and secretion 3
    • Microtubule and mitosis dynamics 3
    • Lipid Membrane Structure and Behavior 2

Maohan Su

8 papers receiving 195 citations

Peers

Maohan Su
Comparison fields: 5 of 51
  • Biophysics 40
  • Cell Biology 89
  • Structural Biology 7
  • Molecular Biology 94
  • Cellular and Molecular Neuroscience 18
Replace Min Suk Han with:
Min Suk Han United States
Vaishnavi Ananthanarayanan India
Mario J. Avellaneda Netherlands
Ritvik Vasan United States
Masahiro Kumeta Japan
Mary Williard Elting United States
Malti Vaghela United Kingdom
Rachel M. Brunetti United States
Daniel Serwas United States
Stefan Brühmann Germany
Maohan Su relative to Min Suk Han United States Min Suk Han's profile →
Citations per field
00.5×4.7×
Min Suk Han · 1×
Citations per year

Countries citing papers authored by Maohan Su

Since Specialization
Citations

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

Fields of papers citing papers by Maohan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201871
2 202440
3 202327
4 202022
5 201315
6 202410
7 20246
8 20245
9 20250

About Maohan Su

Maohan Su is a scholar working on Cell Biology, Molecular Biology, Biophysics, Cellular and Molecular Neuroscience and Infectious Diseases, having authored 9 papers that have together received 196 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Cellular transport and secretion (3 papers), Microtubule and mitosis dynamics (3 papers), Lipid Membrane Structure and Behavior (2 papers), Cell Image Analysis Techniques (1 paper), Neuroscience and Neural Engineering (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Biophysics (40 citations), Cell Biology (89 citations), Structural Biology (7 citations), Molecular Biology (94 citations) and Cellular and Molecular Neuroscience (18 citations). Maohan Su has collaborated with scholars based in United States, Singapore and France. Frequent co-authors include Min Wu, Zhanghan Wu, Jian Liu, Joerg Bewersdorf, Félix Rivera-Molina, Derek Toomre, Zach Marin, James E. Rothman, P. Kidd and Florian Schueder. Their work appears in journals such as Nature Communications, iScience, The Journal of Cell Biology, Frontiers in Cell and Developmental Biology and Cell Reports.

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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