Marcus K. Dymond

56 total papers · 889 total citations
35 papers, 663 citations indexed

About

Marcus K. Dymond is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Marcus K. Dymond has authored 35 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Biomedical Engineering and 5 papers in Cell Biology. Recurrent topics in Marcus K. Dymond's work include Lipid Membrane Structure and Behavior (20 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Protein Structure and Dynamics (4 papers). Marcus K. Dymond is often cited by papers focused on Lipid Membrane Structure and Behavior (20 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Protein Structure and Dynamics (4 papers). Marcus K. Dymond collaborates with scholars based in United Kingdom, United States and Sweden. Marcus K. Dymond's co-authors include George S. Attard, Anthony D. Postle, Susan Sandeman, Joseph Lacey, Tommy Nylander, Peter J. Cragg, Nicolas A. Stewart, John E. Hallsworth, Yury Gogotsi and Richard J. Gillams and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Marcus K. Dymond

34 papers receiving 659 citations

Author Peers

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

Author Last Decade Papers Cites
Marcus K. Dymond 359 95 75 73 64 35 663
Ofélia Maniti 505 1.4× 99 1.0× 91 1.2× 24 0.3× 25 0.4× 42 720
Anders Björkbom 463 1.3× 88 0.9× 59 0.8× 25 0.3× 14 0.2× 26 673
H. G. K. Westenbrink 371 1.0× 46 0.5× 54 0.7× 29 0.4× 73 1.1× 23 693
Zakaria A. Almsherqi 425 1.2× 65 0.7× 49 0.7× 29 0.4× 67 1.0× 27 715
G. Broun 410 1.1× 144 1.5× 117 1.6× 40 0.5× 65 1.0× 33 782
Lætitia Pieulle 425 1.2× 61 0.6× 67 0.9× 126 1.7× 82 1.3× 25 766
Wojciech P. Lipiński 431 1.2× 81 0.9× 23 0.3× 39 0.5× 114 1.8× 13 691
Jesper S. Hansen 360 1.0× 248 2.6× 66 0.9× 44 0.6× 42 0.7× 42 712
Rivka Cohen‐Luria 368 1.0× 25 0.3× 24 0.3× 57 0.8× 101 1.6× 47 674
J Yang 458 1.3× 25 0.3× 56 0.7× 19 0.3× 37 0.6× 20 731

Countries citing papers authored by Marcus K. Dymond

Since Specialization
Citations

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

Fields of papers citing papers by Marcus K. Dymond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcus K. Dymond. 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 Marcus K. Dymond. The network helps show where Marcus K. Dymond may publish in the future.

Co-authorship network of co-authors of Marcus K. Dymond

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus K. Dymond. A scholar is included among the top collaborators of Marcus K. Dymond 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 Marcus K. Dymond. Marcus K. Dymond 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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