Marc Vermulst

56 total papers · 3.5k total citations
29 papers, 2.5k citations indexed

About

Marc Vermulst is a scholar working on Molecular Biology, Aging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marc Vermulst has authored 29 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 6 papers in Aging and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marc Vermulst's work include Mitochondrial Function and Pathology (11 papers), CRISPR and Genetic Engineering (8 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). Marc Vermulst is often cited by papers focused on Mitochondrial Function and Pathology (11 papers), CRISPR and Genetic Engineering (8 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). Marc Vermulst collaborates with scholars based in United States, Netherlands and Japan. Marc Vermulst's co-authors include Tomas A. Prolla, Lawrence A. Loeb, J. Michael McCaffery, Hsiuchen Chen, Anne Chomyn, David C. Chan, Peter S. Rabinovitch, Jason H. Bielas, Gregory C. Kujoth and Warren Ladiges and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Marc Vermulst

25 papers receiving 2.4k citations

Hit Papers

Mitochondrial Fusion Is R... 2010 2026 2015 2020 2010 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marc Vermulst 2.0k 527 510 278 241 29 2.5k
Asimina Hiona 1.8k 0.9× 400 0.8× 768 1.5× 333 1.2× 221 0.9× 11 2.4k
Sebastian Gidlöf 2.0k 1.0× 632 1.2× 537 1.1× 371 1.3× 226 0.9× 40 3.1k
Gregory C. Kujoth 2.7k 1.3× 678 1.3× 928 1.8× 481 1.7× 378 1.6× 36 3.7k
Anja T. Rovio 2.2k 1.1× 694 1.3× 654 1.3× 449 1.6× 235 1.0× 12 2.8k
Arnaud Mourier 3.0k 1.5× 701 1.3× 765 1.5× 155 0.6× 576 2.4× 48 3.7k
Carl E.G. Bruder 2.2k 1.1× 535 1.0× 546 1.1× 373 1.3× 389 1.6× 33 3.2k
Danielle Springer 1.5k 0.8× 179 0.3× 605 1.2× 147 0.5× 321 1.3× 57 2.5k
Alessandra Stangherlin 1.3k 0.7× 168 0.3× 598 1.2× 154 0.6× 192 0.8× 21 2.1k
Simon C. Johnson 2.0k 1.0× 266 0.5× 844 1.7× 661 2.4× 347 1.4× 42 3.5k
Monique Malgat 1.8k 0.9× 681 1.3× 552 1.1× 69 0.2× 125 0.5× 40 2.5k

Countries citing papers authored by Marc Vermulst

Since Specialization
Citations

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

Fields of papers citing papers by Marc Vermulst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Vermulst

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Vermulst. A scholar is included among the top collaborators of Marc Vermulst based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc Vermulst. Marc Vermulst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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