Navid Bavi

1.8k citations
38 papers · 1.2k · h-index 21

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 23
    • Ion channel regulation and function 17
    • Protein Structure and Dynamics 2
    • Erythrocyte Function and Pathophysiology 26

Navid Bavi

37 papers receiving 1.2k citations

Peers

Navid Bavi
Comparison fields: 5 of 107
  • Physiology 535
  • Sensory Systems 102
  • Molecular Biology 751
  • Cell Biology 165
  • Biophysics 41
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Céline Revenu France
Tsuyoshi Hirashima Japan
Yizeng Li United States
Yosuke Senju Japan
Wade J. Sigurdson United States
Jeremiah J. Zartman United States
Fumiyoshi Ishidate Japan
Patricia T. Yam Canada
Lynne M. Coluccio United States
Ikuko Fujiwara Japan
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Citations per field
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Citations per year

Countries citing papers authored by Navid Bavi

Since Specialization
Citations

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

Fields of papers citing papers by Navid Bavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019164
2 2017130
3 201681
4 201980
5 201671
6 202360
7 202159
8 201456
9 201951
10 202041
11 201535
12 201834
13 202233
14 201827
15 201526
16 201825
17 202023
18 201723
19 201222
20 201620

About Navid Bavi

Navid Bavi is a scholar working on Molecular Biology, Physiology, Biomedical Engineering, Mechanics of Materials and Atomic and Molecular Physics, and Optics, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (26 papers), Lipid Membrane Structure and Behavior (23 papers), Ion channel regulation and function (17 papers), Nanopore and Nanochannel Transport Studies (6 papers), Force Microscopy Techniques and Applications (4 papers), Mechanical Behavior of Composites (2 papers), Protein Structure and Dynamics (2 papers) and Hearing, Cochlea, Tinnitus, Genetics (2 papers). The work is most often cited by research in Physiology (535 citations), Sensory Systems (102 citations), Molecular Biology (751 citations), Cell Biology (165 citations) and Biophysics (41 citations). Navid Bavi has collaborated with scholars based in Australia, United States and Iran. Frequent co-authors include Boris Martinac, Charles D. Cox, Omid Bavi, Eduardo Perozo, Bharat Reddy, Yoshitaka Nakayama, Mohammad Shishesaz, Paul R. Rohde, Allen Lu and Yeonwoo Park. Their work appears in journals such as Biophysical Journal, eLife, Scientific Reports, Cell Reports and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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