Matthew R. Warr

39 total papers · 3.9k total citations
29 papers, 2.9k citations indexed

About

Matthew R. Warr is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Matthew R. Warr has authored 29 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Epidemiology. Recurrent topics in Matthew R. Warr's work include Congenital Heart Disease Studies (5 papers), Kruppel-like factors research (4 papers) and Acute Myeloid Leukemia Research (4 papers). Matthew R. Warr is often cited by papers focused on Congenital Heart Disease Studies (5 papers), Kruppel-like factors research (4 papers) and Acute Myeloid Leukemia Research (4 papers). Matthew R. Warr collaborates with scholars based in United States, Canada and Austria. Matthew R. Warr's co-authors include Emmanuelle Passegué, Johanna Flach, Eric M. Pietras, Gordon C. Shore, Emmalee R. Adelman, Evgenia Verovskaya, Olivia Lansinger, María E. Figueroa, Theodore Ho and Mary Mohrin and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Matthew R. Warr

28 papers receiving 2.9k citations

Hit Papers

Autophagy maintains the m... 2013 2026 2017 2021 2017 2013 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Matthew R. Warr 1.6k 874 747 476 452 29 2.9k
Johanna Flach 1.4k 0.9× 1.2k 1.4× 487 0.7× 674 1.4× 538 1.2× 31 2.8k
Hideki Kobayashi 857 0.5× 485 0.6× 575 0.8× 354 0.7× 282 0.6× 38 2.4k
Borja Sáez 1.7k 1.0× 767 0.9× 175 0.2× 485 1.0× 422 0.9× 41 2.8k
Michèle Souyri 906 0.6× 1.2k 1.4× 274 0.4× 474 1.0× 549 1.2× 47 2.5k
V.V.V.S. Murty 2.6k 1.6× 802 0.9× 760 1.0× 352 0.7× 166 0.4× 42 3.8k
Damien Reynaud 1.2k 0.8× 1.3k 1.5× 276 0.4× 1.2k 2.5× 489 1.1× 27 2.9k
Alan H. Shih 2.7k 1.6× 994 1.1× 243 0.3× 443 0.9× 801 1.8× 37 3.8k
Josiane Grosgeorge 2.0k 1.2× 490 0.6× 220 0.3× 234 0.5× 317 0.7× 32 3.1k
Bénédicte Hugel 2.3k 1.4× 1.1k 1.2× 287 0.4× 1.2k 2.6× 221 0.5× 25 4.2k
Pascal Colosetti 2.4k 1.5× 351 0.4× 438 0.6× 332 0.7× 243 0.5× 48 3.3k

Countries citing papers authored by Matthew R. Warr

Since Specialization
Citations

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

Fields of papers citing papers by Matthew R. Warr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew R. Warr. 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 Matthew R. Warr. The network helps show where Matthew R. Warr may publish in the future.

Co-authorship network of co-authors of Matthew R. Warr

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. Warr. A scholar is included among the top collaborators of Matthew R. Warr 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 Matthew R. Warr. Matthew R. Warr 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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