Matthew D. Thompson

868 citations
42 papers · 598 indexed · h-index 14
Topics
Lung Cancer Treatments and Mutations (9 papers)Lung Cancer Diagnosis and Treatment (7 papers)Pharmacogenetics and Drug Metabolism (5 papers)

In The Last Decade

Matthew D. Thompson

39 papers receiving 574 citations

Peers

Matthew D. Thompson
Comparison fields: 5 of 99
  • Molecular Biology 222
  • Plant Science 154
  • Food Science 131
  • Oncology 89
  • Cancer Research 79
Replace Paban K. Agrawala with:
Paban K. Agrawala India
Manami Monobe Japan
Saeed Pirouzpanah Iran
Maria Konopacka Poland
Danièle Montaudon France
Weiqiang Chen China
Katrin Wlcek Austria
Athina Zira Greece
K. Kolanjiappan India
Adam Skarka Czechia
Matthew D. Thompson relative to Paban K. Agrawala India Paban K. Agrawala's profile →
Citations per field
00.5×2.9×
Paban K. Agrawala · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 3
4 14
5 12
6 12
7 11
8 1
9 0
10 5
11 4
12 17
13 45
14 26
15 9
16 3
17 19
18 33
19 10
20 53

About Matthew D. Thompson

Matthew D. Thompson is a scholar working on Pharmacology, Oncology and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 598 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), Lung Cancer Diagnosis and Treatment (7 papers) and Pharmacogenetics and Drug Metabolism (5 papers). The work is most often cited by research in Biochemistry (70 citations), Food Science (131 citations) and Cancer Research (79 citations). Matthew D. Thompson has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Henry J. Thompson, John N. McGinley, Daniel Beard, Weiqin Jiang, Mark A. Brick, Cecil Stushnoff, David G. Holm, Zongjian Zhu, Frank J. Gonzalez and Peter Wilson. Their work appears in journals such as Nucleic Acids Research, The Journal of Physical Chemistry B and Clinical Cancer Research.

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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