Navid Bavi

1.8k citations
40 papers · 1.3k · h-index 21

Impact in

Papers in

    • Erythrocyte Function and Pathophysiology 27
    • Lipid Membrane Structure and Behavior 25
    • Ion channel regulation and function 19
    • Protein Structure and Dynamics 3

Navid Bavi

39 papers receiving 1.3k citations

Peers

Navid Bavi
Comparison fields: 5 of 112
  • Sensory Systems 116
  • Physiology 584
  • Molecular Biology 818
  • Cell Biology 171
  • Biophysics 46
Replace Céline Revenu with:
Céline Revenu France
Le Dai United States
Yosuke Senju Japan
Guangwei Si China
Jeremiah J. Zartman United States
Lynne M. Coluccio United States
Ikuko Fujiwara Japan
Patricia T. Yam Canada
Gülistan Meşe Türkiye
Roie Shlomovitz United States
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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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019177
2 2017141
3 201687
4 201983
5 201677
6 202364
7 202162
8 201459
9 201955
10 202043
11 201539
12 201837
13 202234
14 201529
15 201828
16 201827
17 201724
18 202023
19 201223
20 201621

About Navid Bavi

Navid Bavi is a scholar working on Physiology, Molecular Biology, Biomedical Engineering, Sensory Systems and Cell Biology, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (27 papers), Lipid Membrane Structure and Behavior (25 papers), Ion channel regulation and function (19 papers), Nanopore and Nanochannel Transport Studies (6 papers), Force Microscopy Techniques and Applications (4 papers), Protein Structure and Dynamics (3 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers) and Mechanical Behavior of Composites (2 papers). The work is most often cited by research in Sensory Systems (116 citations), Physiology (584 citations), Molecular Biology (818 citations), Cell Biology (171 citations) and Biophysics (46 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, Yoshitaka Nakayama, Bharat G. Reddy, Paul R. Rohde, Mohammad Reza Shishesaz, Yeonwoo Park and Allen P. Lu. Their work appears in journals such as Biophysical Journal, eLife, Scientific Reports, Cell Reports and Current topics in membranes.

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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