Matthew McKinney

100 total papers · 841 total citations
34 papers, 415 citations indexed

About

Matthew McKinney is a scholar working on Pathology and Forensic Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Matthew McKinney has authored 34 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pathology and Forensic Medicine, 14 papers in Oncology and 8 papers in Molecular Biology. Recurrent topics in Matthew McKinney's work include Lymphoma Diagnosis and Treatment (14 papers), CAR-T cell therapy research (9 papers) and Chronic Lymphocytic Leukemia Research (6 papers). Matthew McKinney is often cited by papers focused on Lymphoma Diagnosis and Treatment (14 papers), CAR-T cell therapy research (9 papers) and Chronic Lymphocytic Leukemia Research (6 papers). Matthew McKinney collaborates with scholars based in United States, United Kingdom and Israel. Matthew McKinney's co-authors include John H. Strickler, Donna Niedzwiecki, Chloé E. Atreya, Leanne G. Ahronian, AmirAli Talasaz, Allan Andresson Lima Pereira, Igor F. Tsigelny, W. Michael Korn, Scott Kopetz and Kimberly C. Banks and has published in prestigious journals such as Blood, Clinical Cancer Research and Journal of the Atmospheric Sciences.

In The Last Decade

Matthew McKinney

31 papers receiving 405 citations

Author Peers

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

Author						Papers	Cites
Matthew McKinney	266	197	167	96	74	34	415
María Laura Gutiérrez	195 0.7×	181 0.9×	167 1.0×	145 1.5×	79 1.1×	29	495
F. Ong	166 0.6×	213 1.1×	133 0.8×	94 1.0×	33 0.4×	18	416
Paola Rafaniello Raviele	176 0.7×	137 0.7×	89 0.5×	117 1.2×	46 0.6×	25	401
J.M. Extra	306 1.2×	102 0.5×	175 1.0×	57 0.6×	63 0.9×	33	430
Wei-Ya Wang	233 0.9×	242 1.2×	71 0.4×	85 0.9×	117 1.6×	26	471
Kaija Vasala	250 0.9×	154 0.8×	119 0.7×	92 1.0×	56 0.8×	27	475
Florian Huemer	316 1.2×	76 0.4×	75 0.4×	114 1.2×	130 1.8×	45	494
Hua‐Jie Dong	129 0.5×	129 0.7×	139 0.8×	203 2.1×	60 0.8×	21	474
Ewa Chmielowska	249 0.9×	117 0.6×	58 0.3×	109 1.1×	131 1.8×	44	466
Habibe Kurt	174 0.7×	129 0.7×	78 0.5×	153 1.6×	29 0.4×	28	442

Countries citing papers authored by Matthew McKinney

Since Specialization

Citations

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

Fields of papers citing papers by Matthew McKinney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew McKinney

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