Matthew K. Robinson

96 total papers · 6.4k total citations
51 papers, 1.5k citations indexed

About

Matthew K. Robinson is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Matthew K. Robinson has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Oncology and 20 papers in Molecular Biology. Recurrent topics in Matthew K. Robinson's work include Monoclonal and Polyclonal Antibodies Research (19 papers), HER2/EGFR in Cancer Research (15 papers) and Glycosylation and Glycoproteins Research (9 papers). Matthew K. Robinson is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (19 papers), HER2/EGFR in Cancer Research (15 papers) and Glycosylation and Glycoproteins Research (9 papers). Matthew K. Robinson collaborates with scholars based in United States, United Kingdom and India. Matthew K. Robinson's co-authors include Gregory P. Adams, James D. Marks, Louis J. Guillette, Steven F. Arnold, John A. McLachlan, Angelο C. Notides, Calvin Shaller, Michael Stern, Mohan Doss and Louis M. Weiner and has published in prestigious journals such as Blood, ACS Nano and The Journal of Immunology.

In The Last Decade

Matthew K. Robinson

49 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
Matthew K. Robinson 664 611 389 199 183 51 1.5k
Jerry R. Williams 801 1.2× 311 0.5× 230 0.6× 104 0.5× 88 0.5× 66 1.5k
Bilyana Popova 692 1.0× 243 0.4× 526 1.4× 74 0.4× 30 0.2× 52 2.2k
David C. Cottell 845 1.3× 132 0.2× 108 0.3× 202 1.0× 108 0.6× 42 2.3k
Seiji Kodama 1.2k 1.8× 660 1.1× 383 1.0× 88 0.4× 33 0.2× 83 2.0k
Hiroshi Utsumi 1.6k 2.4× 469 0.8× 534 1.4× 62 0.3× 57 0.3× 62 2.2k
Luisa Ottobrini 714 1.1× 128 0.2× 213 0.5× 196 1.0× 55 0.3× 58 1.6k
Patrick J. Rochette 673 1.0× 254 0.4× 142 0.4× 47 0.2× 38 0.2× 55 1.2k
C. Thomas 834 1.3× 119 0.2× 135 0.3× 83 0.4× 72 0.4× 86 1.7k
Qing Bao 840 1.3× 95 0.2× 149 0.4× 194 1.0× 100 0.5× 52 1.5k
Donald J. Watts 1.0k 1.5× 243 0.4× 653 1.7× 274 1.4× 14 0.1× 40 2.2k

Countries citing papers authored by Matthew K. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew K. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew K. Robinson

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