J.M. Dypbukt

14 total papers · 986 total citations
11 papers, 836 citations indexed

About

J.M. Dypbukt is a scholar working on Molecular Biology, Biochemistry and Physiology. According to data from OpenAlex, J.M. Dypbukt has authored 11 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Biochemistry and 2 papers in Physiology. Recurrent topics in J.M. Dypbukt's work include Sulfur Compounds in Biology (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Glutathione Transferases and Polymorphisms (2 papers). J.M. Dypbukt is often cited by papers focused on Sulfur Compounds in Biology (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Glutathione Transferases and Polymorphisms (2 papers). J.M. Dypbukt collaborates with scholars based in Sweden, United States and Italy. J.M. Dypbukt's co-authors include Pierluigi Nicotera, Sten Orrenius, Kerstin Ström, Mark J. Burkitt, Åke Sjöholm, Maria Ankarcrona, Bob Thong, William M. Brooks, Cynthia Bishop and Anthony J. Kettle and has published in prestigious journals such as Science, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

J.M. Dypbukt

11 papers receiving 821 citations

Author Peers

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

Author Last Decade Papers Cites
J.M. Dypbukt 463 151 136 98 81 11 836
Machender R. Kandadi 413 0.9× 89 0.6× 123 0.9× 127 1.3× 58 0.7× 23 918
Yoshiro Kayanoki 370 0.8× 83 0.5× 198 1.5× 113 1.2× 126 1.6× 15 882
Young-Myeong Kim 471 1.0× 156 1.0× 230 1.7× 89 0.9× 77 1.0× 11 1.0k
Christelle Coatrieux 325 0.7× 104 0.7× 177 1.3× 60 0.6× 77 1.0× 10 828
Mayumi Ujihara 387 0.8× 148 1.0× 171 1.3× 49 0.5× 157 1.9× 24 966
Patricia Sánchez-Pérez 437 0.9× 93 0.6× 119 0.9× 49 0.5× 66 0.8× 9 948
Sofie Desmet 454 1.0× 130 0.9× 173 1.3× 96 1.0× 40 0.5× 13 940
Cécile Ingueneau 278 0.6× 93 0.6× 140 1.0× 86 0.9× 48 0.6× 11 751
Joanna D. Wardyn 546 1.2× 127 0.8× 88 0.6× 62 0.6× 27 0.3× 7 977
Ruzhou Zhao 579 1.3× 91 0.6× 223 1.6× 38 0.4× 53 0.7× 10 1.1k

Countries citing papers authored by J.M. Dypbukt

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Dypbukt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.M. Dypbukt

This figure shows the co-authorship network connecting the top 25 collaborators of J.M. Dypbukt. A scholar is included among the top collaborators of J.M. Dypbukt 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 J.M. Dypbukt. J.M. Dypbukt 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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