M. J. Phillips

44 total papers · 940 total citations
36 papers, 721 citations indexed

About

M. J. Phillips is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, M. J. Phillips has authored 36 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Pathology and Forensic Medicine. Recurrent topics in M. J. Phillips's work include Chronic Lymphocytic Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Carcinogens and Genotoxicity Assessment (5 papers). M. J. Phillips is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Carcinogens and Genotoxicity Assessment (5 papers). M. J. Phillips collaborates with scholars based in United Kingdom, Canada and South Africa. M. J. Phillips's co-authors include Archie Prentice, S.A. Johnson, David W. Warnock, Dominic Oliver, Denise Howe, Stephen A. Johnson, N.K. Todd, Hiroyuki Shibata, B Langer and Robert D. Stone and has published in prestigious journals such as The Lancet, Neurology and Cancer.

In The Last Decade

M. J. Phillips

35 papers receiving 635 citations

Author Peers

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

Author Last Decade Papers Cites
M. J. Phillips 189 150 117 114 111 36 721
Anne Modesto 199 1.1× 192 1.3× 145 1.2× 133 1.2× 156 1.4× 31 853
Stebbins B. Chandor 125 0.7× 135 0.9× 84 0.7× 79 0.7× 52 0.5× 36 654
Ewert Schulte‐Frohlinde 146 0.8× 162 1.1× 99 0.8× 181 1.6× 196 1.8× 42 755
Itay Shalev 127 0.7× 141 0.9× 88 0.8× 92 0.8× 90 0.8× 22 843
Giuseppe Aimo 190 1.0× 204 1.4× 91 0.8× 108 0.9× 98 0.9× 44 748
R Duquesnoy 248 1.3× 103 0.7× 112 1.0× 98 0.9× 105 0.9× 41 833
Jong‐Da Lian 128 0.7× 225 1.5× 116 1.0× 123 1.1× 159 1.4× 45 803
Vikas Kohli 139 0.7× 110 0.7× 233 2.0× 60 0.5× 81 0.7× 49 629
Vinay Sakhuja 82 0.4× 136 0.9× 123 1.1× 66 0.6× 58 0.5× 58 836
J Fujimoto 98 0.5× 105 0.7× 282 2.4× 152 1.3× 66 0.6× 30 897

Countries citing papers authored by M. J. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. Phillips. 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 M. J. Phillips. The network helps show where M. J. Phillips may publish in the future.

Co-authorship network of co-authors of M. J. Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Phillips. A scholar is included among the top collaborators of M. J. Phillips 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 M. J. Phillips. M. J. Phillips 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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