Mary A. Markiewicz

78 total papers · 2.3k total citations
46 papers, 1.8k citations indexed

About

Mary A. Markiewicz is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Mary A. Markiewicz has authored 46 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology, 18 papers in Oncology and 11 papers in Molecular Biology. Recurrent topics in Mary A. Markiewicz's work include Immune Cell Function and Interaction (26 papers), T-cell and B-cell Immunology (21 papers) and Immunotherapy and Immune Responses (16 papers). Mary A. Markiewicz is often cited by papers focused on Immune Cell Function and Interaction (26 papers), T-cell and B-cell Immunology (21 papers) and Immunotherapy and Immune Responses (16 papers). Mary A. Markiewicz collaborates with scholars based in United States, Croatia and Belgium. Mary A. Markiewicz's co-authors include Andréy S. Shaw, Paul M. Allen, Thomas F. Gajewski, Arup K. Chakraborty, Richard Burack, Francesca Fallarino, Gabriele Campi, Aaron R. Dinner, Hui Wu and Julia Wang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Mary A. Markiewicz

42 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Mary A. Markiewicz 1.2k 450 418 134 124 46 1.8k
Yuekang Xu 1.4k 1.2× 381 0.8× 627 1.5× 101 0.8× 119 1.0× 53 2.3k
Christian H.K. Lehmann 969 0.8× 342 0.8× 482 1.2× 90 0.7× 162 1.3× 52 1.5k
Romain Roncagalli 1.5k 1.2× 573 1.3× 435 1.0× 96 0.7× 87 0.7× 38 1.9k
Theodora W. Salcedo 932 0.8× 493 1.1× 400 1.0× 104 0.8× 234 1.9× 30 1.5k
Silvia Heltai 1.2k 1.0× 399 0.9× 766 1.8× 99 0.7× 91 0.7× 42 1.9k
Joan Sayós 1.7k 1.4× 533 1.2× 482 1.2× 76 0.6× 60 0.5× 46 2.4k
Vincenzo Di Bartolo 1.4k 1.1× 466 1.0× 720 1.7× 84 0.6× 183 1.5× 52 2.2k
Wolfgang Paster 1.0k 0.8× 457 1.0× 607 1.5× 96 0.7× 170 1.4× 37 1.5k
Mahima Swamy 1.3k 1.0× 445 1.0× 716 1.7× 91 0.7× 206 1.7× 36 2.0k
L M Pilarski 816 0.7× 242 0.5× 514 1.2× 108 0.8× 295 2.4× 50 1.5k

Countries citing papers authored by Mary A. Markiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Mary A. Markiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary A. Markiewicz. 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 Mary A. Markiewicz. The network helps show where Mary A. Markiewicz may publish in the future.

Co-authorship network of co-authors of Mary A. Markiewicz

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