Michael D. Stutz

31 total papers · 1.9k total citations
15 papers, 840 citations indexed

About

Michael D. Stutz is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Michael D. Stutz has authored 15 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Infectious Diseases. Recurrent topics in Michael D. Stutz's work include Tuberculosis Research and Epidemiology (4 papers), Cell death mechanisms and regulation (4 papers) and Hepatitis B Virus Studies (3 papers). Michael D. Stutz is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), Cell death mechanisms and regulation (4 papers) and Hepatitis B Virus Studies (3 papers). Michael D. Stutz collaborates with scholars based in Australia, United States and Canada. Michael D. Stutz's co-authors include Hilda A. Pickett, Marc Pellegrini, Roger R. Reddel, Samar Ojaimi, Mark Hills, Dimitri Conomos, Cody C. Allison, Simon Preston, Tracy M. Bryan and Marcel Doerflinger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Cell Biology.

In The Last Decade

Michael D. Stutz

15 papers receiving 828 citations

Author Peers

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

Author Last Decade Papers Cites
Michael D. Stutz 571 198 179 131 128 15 840
Chaka C. Impraim 384 0.7× 284 1.4× 62 0.3× 73 0.6× 102 0.8× 15 871
Jen‐Yang Chen 213 0.4× 215 1.1× 49 0.3× 113 0.9× 129 1.0× 18 902
Mary K. Short 329 0.6× 123 0.6× 34 0.2× 155 1.2× 124 1.0× 24 708
Graham T. Atherton 491 0.9× 120 0.6× 240 1.3× 81 0.6× 219 1.7× 17 997
Yongxin Mu 478 0.8× 232 1.2× 37 0.2× 185 1.4× 67 0.5× 33 900
Nick N. Gorgani 297 0.5× 118 0.6× 90 0.5× 513 3.9× 63 0.5× 21 964
Jill M. Carton 490 0.9× 123 0.6× 94 0.5× 278 2.1× 51 0.4× 21 856
Caterina Iorio 353 0.6× 509 2.6× 47 0.3× 244 1.9× 181 1.4× 16 929
Markus Mair 323 0.6× 199 1.0× 42 0.2× 302 2.3× 37 0.3× 12 1.0k
Hideo Yoshima 743 1.3× 87 0.4× 93 0.5× 197 1.5× 26 0.2× 18 937

Countries citing papers authored by Michael D. Stutz

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Stutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Stutz. 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 Michael D. Stutz. The network helps show where Michael D. Stutz may publish in the future.

Co-authorship network of co-authors of Michael D. Stutz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Stutz. A scholar is included among the top collaborators of Michael D. Stutz 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 Michael D. Stutz. Michael D. Stutz 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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