M. Dunand

412 citations
11 papers · 313 · h-index 9

Impact in

Papers in

    • Muscle Physiology and Disorders 2
    • Receptor Mechanisms and Signaling 2
    • Adrenal and Paraganglionic Tumors 3

M. Dunand

11 papers receiving 311 citations

Peers

M. Dunand
Comparison fields: 5 of 60
  • Genetics 44
  • Cancer Research 43
  • Endocrinology, Diabetes and Metabolism 47
  • Molecular Biology 171
  • Cellular and Molecular Neuroscience 45
Replace Vladimir Tsemakhovich with:
Vladimir Tsemakhovich Israel
J Jehle Germany
Margarete M. Trachez Brazil
Toni M. West United States
Christine Des Rosiers Canada
Daniela Ramaccini Italy
Yvonne Wohlfarter Austria
Saeideh Nozohouri United States
Sara Galozzi Germany
Mira Holliday Australia
M. Dunand relative to Vladimir Tsemakhovich Israel Vladimir Tsemakhovich's profile →
Citations per field
00.5×4.7×
Vladimir Tsemakhovich · 1×
Citations per year

Countries citing papers authored by M. Dunand

Since Specialization
Citations

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

Fields of papers citing papers by M. Dunand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2010117
2 201364
3 201534
4 201428
5 202216
6 201916
7 201412
8 200610
9 20209
10 20196
11 20071

About M. Dunand

M. Dunand is a scholar working on Molecular Biology, Surgery, Cancer Research, Genetics and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 313 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Adrenal and Paraganglionic Tumors (3 papers), Muscle Physiology and Disorders (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Receptor Mechanisms and Signaling (2 papers), Cellular Mechanics and Interactions (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Genetics (44 citations), Cancer Research (43 citations), Endocrinology, Diabetes and Metabolism (47 citations), Molecular Biology (171 citations) and Cellular and Molecular Neuroscience (45 citations). M. Dunand has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Eric Grouzmann, Karim Abid, Richard J.L.F. Lemmers, Rune R. Frants, Sari Kiuru‐Enari, Pilar Camaño, Baziel G.M. van Engelen, Sabrina Sacconi, Simone Spuler and Mark A. Tarnopolsky. Their work appears in journals such as Clinica Chimica Acta, Neuromuscular Disorders, Analytical Chemistry, Neurology and Clinical Biochemistry.

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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