Marie‐Therese Mackmull

19 total papers · 2.2k total citations
11 papers, 1.2k citations indexed

About

Marie‐Therese Mackmull is a scholar working on Molecular Biology, Spectroscopy and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marie‐Therese Mackmull has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Spectroscopy and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Marie‐Therese Mackmull's work include RNA Research and Splicing (7 papers), Nuclear Structure and Function (5 papers) and Genomics and Phylogenetic Studies (2 papers). Marie‐Therese Mackmull is often cited by papers focused on RNA Research and Splicing (7 papers), Nuclear Structure and Function (5 papers) and Genomics and Phylogenetic Studies (2 papers). Marie‐Therese Mackmull collaborates with scholars based in Germany, United States and Switzerland. Marie‐Therese Mackmull's co-authors include Martin Beck, Wim J. H. Hagen, Amparo Andrés‐Pons, Alessandro Ori‬‬, Khanh Huy Bui, Amanda L. DiGuilio, Joseph S. Glavy, Alexander von Appen, Katarzyna Buczak and Peer Bork and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Marie‐Therese Mackmull

10 papers receiving 1.2k citations

Hit Papers

AI-based structure predic... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Marie‐Therese Mackmull 1.0k 158 155 147 116 11 1.2k
Katarzyna Buczak 781 0.8× 123 0.8× 106 0.7× 116 0.8× 83 0.7× 21 977
Joseph S. Glavy 1.2k 1.2× 143 0.9× 223 1.4× 88 0.6× 73 0.6× 26 1.5k
Andrea Graziadei 728 0.7× 68 0.4× 52 0.3× 239 1.6× 118 1.0× 21 912
Javier A. Velázquez-Muriel 974 0.9× 345 2.2× 96 0.6× 127 0.9× 343 3.0× 18 1.4k
David Haselbach 1.1k 1.1× 119 0.8× 281 1.8× 45 0.3× 108 0.9× 28 1.4k
Luca Parca 965 0.9× 65 0.4× 77 0.5× 183 1.2× 65 0.6× 31 1.2k
Grigory Sharov 704 0.7× 254 1.6× 155 1.0× 24 0.2× 106 0.9× 11 1.1k
Roman S. Erdmann 777 0.8× 127 0.8× 134 0.9× 85 0.6× 100 0.9× 23 1.2k
Pascal Lill 666 0.6× 183 1.2× 86 0.6× 24 0.2× 105 0.9× 12 979
Sören von Bülow 782 0.8× 39 0.2× 143 0.9× 37 0.3× 124 1.1× 24 1.4k

Countries citing papers authored by Marie‐Therese Mackmull

Since Specialization
Citations

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

Fields of papers citing papers by Marie‐Therese Mackmull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Therese Mackmull. 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 Marie‐Therese Mackmull. The network helps show where Marie‐Therese Mackmull may publish in the future.

Co-authorship network of co-authors of Marie‐Therese Mackmull

This figure shows the co-authorship network connecting the top 25 collaborators of Marie‐Therese Mackmull. A scholar is included among the top collaborators of Marie‐Therese Mackmull 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 Marie‐Therese Mackmull. Marie‐Therese Mackmull is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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