Sarah C. Mullaly

27 total papers · 2.3k total citations
20 papers, 1.6k citations indexed

About

Sarah C. Mullaly is a scholar working on Immunology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sarah C. Mullaly has authored 20 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sarah C. Mullaly's work include Immune Response and Inflammation (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers) and Cell Adhesion Molecules Research (3 papers). Sarah C. Mullaly is often cited by papers focused on Immune Response and Inflammation (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers) and Cell Adhesion Molecules Research (3 papers). Sarah C. Mullaly collaborates with scholars based in Canada, United States and India. Sarah C. Mullaly's co-authors include Paul Kubes, Graciela Andonegui, Eko Raharjo, Håvard Jenssen, Robert E. W. Hancock, Francis Green, Lori Zbytnuik, Claudine S. Bonder, Christopher D. Fjell and Artem Cherkasov and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Sarah C. Mullaly

19 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Sarah C. Mullaly 704 665 418 145 139 20 1.6k
Gonzalo de la Rosa 906 1.3× 445 0.7× 245 0.6× 169 1.2× 109 0.8× 17 1.6k
H. Anne Pereira 582 0.8× 578 0.9× 421 1.0× 165 1.1× 74 0.5× 47 1.4k
Mohini Gray 1.2k 1.8× 759 1.1× 310 0.7× 63 0.4× 150 1.1× 33 2.2k
Joachim Werr 716 1.0× 394 0.6× 456 1.1× 409 2.8× 55 0.4× 12 1.3k
Sandra van Wetering 964 1.4× 744 1.1× 752 1.8× 233 1.6× 326 2.3× 32 2.2k
Oliver Wiedow 615 0.9× 543 0.8× 263 0.6× 233 1.6× 242 1.7× 37 1.9k
Dennis F. Michiel 930 1.3× 708 1.1× 357 0.9× 237 1.6× 67 0.5× 21 1.9k
Eric Hailman 1.4k 2.0× 525 0.8× 293 0.7× 75 0.5× 176 1.3× 21 2.1k
Jeffrey Rose 1.3k 1.8× 424 0.6× 157 0.4× 116 0.8× 153 1.1× 15 1.7k
Angela Risso 715 1.0× 772 1.2× 585 1.4× 50 0.3× 160 1.2× 40 1.9k

Countries citing papers authored by Sarah C. Mullaly

Since Specialization
Citations

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

Fields of papers citing papers by Sarah C. Mullaly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah C. Mullaly. 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 Sarah C. Mullaly. The network helps show where Sarah C. Mullaly may publish in the future.

Co-authorship network of co-authors of Sarah C. Mullaly

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah C. Mullaly. A scholar is included among the top collaborators of Sarah C. Mullaly 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 Sarah C. Mullaly. Sarah C. Mullaly 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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