Matthew D. Blunt

60 total papers · 824 total citations
31 papers, 600 citations indexed

About

Matthew D. Blunt is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, Matthew D. Blunt has authored 31 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 14 papers in Genetics and 13 papers in Molecular Biology. Recurrent topics in Matthew D. Blunt's work include Immune Cell Function and Interaction (15 papers), Chronic Lymphocytic Leukemia Research (14 papers) and PI3K/AKT/mTOR signaling in cancer (7 papers). Matthew D. Blunt is often cited by papers focused on Immune Cell Function and Interaction (15 papers), Chronic Lymphocytic Leukemia Research (14 papers) and PI3K/AKT/mTOR signaling in cancer (7 papers). Matthew D. Blunt collaborates with scholars based in United Kingdom, United States and Australia. Matthew D. Blunt's co-authors include Stephen G. Ward, Salim I. Khakoo, Edward Carter, Andrew J. Steele, Francesco Forconi, Mark S. Cragg, Jonathan C. Strefford, Graham Packham, Marta Larráyoz and Rachel Dobson and has published in prestigious journals such as Blood, The Journal of Immunology and Cancer Research.

In The Last Decade

Matthew D. Blunt

30 papers receiving 595 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew D. Blunt 275 257 179 148 104 31 600
Ramazan Ali Sharifian 250 0.9× 184 0.7× 220 1.2× 96 0.6× 100 1.0× 28 509
Luhong Sun 126 0.5× 286 1.1× 146 0.8× 212 1.4× 206 2.0× 19 562
Jani Huuhtanen 329 1.2× 247 1.0× 89 0.5× 265 1.8× 55 0.5× 25 583
Silvia Martinelli 220 0.8× 228 0.9× 369 2.1× 117 0.8× 192 1.8× 27 629
Justin C. Boysen 348 1.3× 217 0.8× 392 2.2× 118 0.8× 251 2.4× 24 680
Y. Terui 221 0.8× 330 1.3× 74 0.4× 207 1.4× 181 1.7× 28 685
Gregorio Barilà 246 0.9× 109 0.4× 205 1.1× 142 1.0× 185 1.8× 38 506
Lourdes Mendez 188 0.7× 306 1.2× 111 0.6× 217 1.5× 191 1.8× 33 605
Tatsuo Abe 152 0.6× 340 1.3× 72 0.4× 119 0.8× 89 0.9× 26 661
Marek Borský 120 0.4× 216 0.8× 188 1.1× 92 0.6× 111 1.1× 26 556

Countries citing papers authored by Matthew D. Blunt

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Blunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Blunt

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