Matthew D. Thompson

77 total papers · 860 total citations
42 papers, 598 citations indexed

About

Matthew D. Thompson is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matthew D. Thompson has authored 42 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Oncology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matthew D. Thompson's work include Lung Cancer Treatments and Mutations (9 papers), Lung Cancer Diagnosis and Treatment (7 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Matthew D. Thompson is often cited by papers focused on Lung Cancer Treatments and Mutations (9 papers), Lung Cancer Diagnosis and Treatment (7 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Matthew D. Thompson collaborates with scholars based in United States, United Kingdom and Belgium. Matthew D. Thompson's co-authors include Henry J. Thompson, John N. McGinley, Daniel Beard, Weiqin Jiang, Mark A. Brick, Cecil Stushnoff, David G. Holm, Zongjian Zhu, Nigel I. Joyce and Frank J. Gonzalez and has published in prestigious journals such as Nucleic Acids Research, The Journal of Physical Chemistry B and Clinical Cancer Research.

In The Last Decade

Matthew D. Thompson

39 papers receiving 573 citations

Author Peers

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

Author						Papers	Cites
Matthew D. Thompson	222	155	132	88	79	42	598
Lijiao Zhang	249 1.1×	200 1.3×	102 0.8×	46 0.5×	63 0.8×	48	691
Sabira Sultana	232 1.0×	148 1.0×	73 0.6×	63 0.7×	68 0.9×	34	689
Eszter Fliszár-Nyúl	213 1.0×	227 1.5×	84 0.6×	88 1.0×	40 0.5×	35	644
Hideki Mori	275 1.2×	89 0.6×	44 0.3×	78 0.9×	95 1.2×	40	684
Paban K. Agrawala	291 1.3×	135 0.9×	53 0.4×	56 0.6×	68 0.9×	45	643
Kiyohisa Okamoto	327 1.5×	114 0.7×	72 0.5×	47 0.5×	68 0.9×	30	663
Hamid‐Reza Mohammadi‐Motlagh	191 0.9×	176 1.1×	46 0.3×	75 0.9×	62 0.8×	27	550
Ruxu You	183 0.8×	251 1.6×	85 0.6×	65 0.7×	23 0.3×	35	680
Teresa Rossi	253 1.1×	52 0.3×	61 0.5×	78 0.9×	115 1.5×	28	562
Věra Králová	336 1.5×	87 0.6×	89 0.7×	122 1.4×	83 1.1×	28	682

Countries citing papers authored by Matthew D. Thompson

Since Specialization

Citations

This map shows the geographic impact of Matthew D. Thompson'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. Thompson 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. Thompson more than expected).

Fields of papers citing papers by Matthew D. Thompson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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