Dianne M. Mueller

12 total papers · 1.7k total citations
11 papers, 1.4k citations indexed

About

Dianne M. Mueller is a scholar working on Immunology, Physiology and Molecular Biology. According to data from OpenAlex, Dianne M. Mueller has authored 11 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Physiology and 6 papers in Molecular Biology. Recurrent topics in Dianne M. Mueller's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), Nitric Oxide and Endothelin Effects (7 papers) and Redox biology and oxidative stress (5 papers). Dianne M. Mueller is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), Nitric Oxide and Endothelin Effects (7 papers) and Redox biology and oxidative stress (5 papers). Dianne M. Mueller collaborates with scholars based in United States, Russia and Austria. Dianne M. Mueller's co-authors include Jay W. Heinecke, Jaeman Byun, Fong‐Fu Hsu, Jane Rasmussen, Christiaan Leeuwenburgh, Subramaniam Pennathur, Jeffrey P. Henderson, John Turk, Xiaoyun Fu and Stanley L. Hazen and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and FEBS Letters.

In The Last Decade

Dianne M. Mueller

11 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
Dianne M. Mueller 577 523 477 314 219 11 1.4k
Linda Hazell 826 1.4× 333 0.6× 506 1.1× 411 1.3× 255 1.2× 10 1.4k
Jeroen J.M. van den Berg 403 0.7× 458 0.9× 377 0.8× 372 1.2× 370 1.7× 22 1.5k
Revathy Senthilmohan 819 1.4× 454 0.9× 543 1.1× 111 0.4× 120 0.5× 16 1.6k
Mark R. McCall 227 0.4× 428 0.8× 171 0.4× 415 1.3× 222 1.0× 17 1.4k
Vanessa J. O'leary 209 0.4× 271 0.5× 448 0.9× 441 1.4× 206 0.9× 18 1.1k
Constanze Bergt 582 1.0× 445 0.9× 348 0.7× 147 0.5× 69 0.3× 13 1.3k
Koni Stone 151 0.3× 541 1.0× 386 0.8× 271 0.9× 170 0.8× 10 1.6k
Antonio M. Pastorino 672 1.2× 429 0.8× 192 0.4× 336 1.1× 156 0.7× 23 1.6k
Marilee Lougheed 536 0.9× 470 0.9× 125 0.3× 790 2.5× 256 1.2× 15 1.5k
Helga Reicher 348 0.6× 751 1.4× 265 0.6× 143 0.5× 128 0.6× 37 1.6k

Countries citing papers authored by Dianne M. Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Dianne M. Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dianne M. Mueller

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