Michaël Kazmaier

17 total papers · 1.6k total citations
14 papers, 1.4k citations indexed

About

Michaël Kazmaier is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Michaël Kazmaier has authored 14 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Oncology. Recurrent topics in Michaël Kazmaier's work include RNA Research and Splicing (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Plant Genetic and Mutation Studies (2 papers). Michaël Kazmaier is often cited by papers focused on RNA Research and Splicing (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Plant Genetic and Mutation Studies (2 papers). Michaël Kazmaier collaborates with scholars based in France, United States and Switzerland. Michaël Kazmaier's co-authors include Philippe Urban, Denis Pompon, Iain W. Mattaj, Frédéric Delorme, Jörg Hamm, Yves Deveaux, Catherine Brutesco, Francis Durst, Danièle Werck‐Reichhart and Christian Triantaphylidès and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Michaël Kazmaier

14 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Michaël Kazmaier 1.1k 478 118 112 86 14 1.4k
Kohei Kazuma 754 0.7× 519 1.1× 107 0.9× 48 0.4× 137 1.6× 42 1.4k
Ajay Bommareddy 934 0.9× 202 0.4× 85 0.7× 50 0.4× 105 1.2× 39 1.4k
Rob J. Aerts 795 0.7× 630 1.3× 65 0.6× 73 0.7× 110 1.3× 25 1.6k
Adam Kavalier 480 0.4× 237 0.5× 108 0.9× 39 0.3× 51 0.6× 11 1.3k
Gideon M. Polya 1.1k 1.0× 660 1.4× 77 0.7× 208 1.9× 145 1.7× 62 1.6k
Dominic P. H. M. Heuts 809 0.7× 213 0.4× 37 0.3× 128 1.1× 71 0.8× 17 1.2k
Dennis P. Michaud 522 0.5× 192 0.4× 86 0.7× 69 0.6× 46 0.5× 20 1.2k
William B. Melchior 695 0.6× 178 0.4× 48 0.4× 63 0.6× 53 0.6× 20 1.1k
Mary Jane Long 983 0.9× 282 0.6× 136 1.2× 31 0.3× 34 0.4× 18 1.3k
Bertold Fridlender 903 0.8× 417 0.9× 93 0.8× 99 0.9× 78 0.9× 31 1.7k

Countries citing papers authored by Michaël Kazmaier

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Kazmaier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaël Kazmaier

This figure shows the co-authorship network connecting the top 25 collaborators of Michaël Kazmaier. A scholar is included among the top collaborators of Michaël Kazmaier 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 Michaël Kazmaier. Michaël Kazmaier 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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