Marc Fivaz

3.4k citations
46 papers · 2.7k indexed · 1 hit paper · h-index 25

Marc Fivaz

45 papers receiving 2.7k citations

Hit Papers

Live-cell imaging reveals sequential oligomerization and ...5112007202620132019100200300400500

Peers

Marc Fivaz
Comparison fields: 5 of 120
  • Sensory Systems 531
  • Cell Biology 603
  • Endocrinology 156
  • Cellular and Molecular Neuroscience 532
  • Physiology 105
Replace Mitsuharu Hattori with:
Mitsuharu Hattori Japan
Francesco Tombola United States
Vytautas P. Bindokas United States
Guangwei Du United States
Eugene V. Grishin Russia
Christopher J. Stefan United States
Charles F. Louis United States
Bruce J. Nicholson United States
M I Simon United States
Xiangshu Jin United States
Marc Fivaz relative to Mitsuharu Hattori Japan Mitsuharu Hattori's profile →
Citations per field
00.5×7.4×
Mitsuharu Hattori · 1×
Citations per year

Countries citing papers authored by Marc Fivaz

Since Specialization
Citations

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

Fields of papers citing papers by Marc Fivaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20242
4 202327
5 20224
6 20224
7 201625
8 201554
9 201564
10 20147
11 201160
12 2009166
13 200896
14 2007130
15 2005124
16 200340
17 200136
18 200135
19 199915
20 199866

About Marc Fivaz

Marc Fivaz is a scholar working on Sensory Systems, Cell Biology and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (14 papers), Neuroscience and Neuropharmacology Research (10 papers), Cellular transport and secretion (10 papers), Erythrocyte Function and Pathophysiology (8 papers), Ion channel regulation and function (7 papers), Ion Channels and Receptors (6 papers), Receptor Mechanisms and Signaling (5 papers) and Nanopore and Nanochannel Transport Studies (3 papers). The work is most often cited by research in Sensory Systems (531 citations), Cell Biology (603 citations) and Endocrinology (156 citations). Marc Fivaz has collaborated with scholars based in Singapore, Switzerland and United States. Frequent co-authors include Tobias Meyer, Gijs R. van den Brink, Laurence Abrami, Takanari Inoue, Jen Liou, Robert G. Parton, Bo Lü, Beatrix Vécsey-Semjén, Claire Lesieur and Samuel Bandara. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology, Electrophoresis, Molecular Biology of the Cell and Trends in Microbiology.

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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