Mathias Rickert

25 total papers · 2.5k total citations
15 papers, 1.2k citations indexed

About

Mathias Rickert is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Mathias Rickert has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Mathias Rickert's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers) and IL-33, ST2, and ILC Pathways (3 papers). Mathias Rickert is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers) and IL-33, ST2, and ILC Pathways (3 papers). Mathias Rickert collaborates with scholars based in United States, Germany and Netherlands. Mathias Rickert's co-authors include K. Christopher García, Xinquan Wang, Martin J. Boulanger, Conor R. Caffrey, Charles S. Craik, Jennifer Legac, Christopher J. Farady, James H. McKerrow, Ji Hae Lee and Linda S. Brinen and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Mathias Rickert

12 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Mathias Rickert 707 318 304 133 128 15 1.2k
Ning Go 705 1.0× 278 0.9× 376 1.2× 74 0.6× 105 0.8× 18 1.5k
Franco E. Di Padova 581 0.8× 251 0.8× 484 1.6× 101 0.8× 213 1.7× 22 1.3k
Timothy J. Colby 460 0.7× 332 1.0× 325 1.1× 94 0.7× 98 0.8× 12 1.1k
Micah Steffek 361 0.5× 101 0.3× 456 1.5× 140 1.1× 88 0.7× 20 984
S Ratnofsky 704 1.0× 295 0.9× 781 2.6× 204 1.5× 65 0.5× 19 1.4k
V J Merluzzi 552 0.8× 252 0.8× 297 1.0× 164 1.2× 56 0.4× 27 1.4k
Sang Hsu 744 1.1× 233 0.7× 328 1.1× 30 0.2× 78 0.6× 13 1.1k
Katrien Princen 616 0.9× 578 1.8× 520 1.7× 112 0.8× 131 1.0× 28 1.4k
Nicole Müller 577 0.8× 240 0.8× 780 2.6× 95 0.7× 30 0.2× 33 1.3k
H. U. Gubler 292 0.4× 154 0.5× 465 1.5× 55 0.4× 97 0.8× 10 1.4k

Countries citing papers authored by Mathias Rickert

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Rickert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathias Rickert. 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 Mathias Rickert. The network helps show where Mathias Rickert may publish in the future.

Co-authorship network of co-authors of Mathias Rickert

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