M.D. Burke

10.9k citations
132 papers · 9.7k indexed · 4 hit papers · h-index 42

M.D. Burke

129 papers receiving 9.3k citations

Hit Papers

Cytochrome P450 specificities of alkoxyresorufin O-de...51119742026199120084008001.2k

Peers

M.D. Burke
Comparison fields: 5 of 140
  • Pharmacology 5.2k
  • Health, Toxicology and Mutagenesis 1.9k
  • Biochemistry 941
  • Cancer Research 1.6k
  • Oncology 2.2k
Replace Thomas K. H. Chang with:
Thomas K. H. Chang United States
Olavi Pelkonen Finland
Karl Walter Bock Germany
Colin R. Jefcoate United States
Robert H. Tukey United States
Hansruedi Glatt Germany
Laurence S. Kaminsky United States
Anthony Y.H. Lu United States
James R. Gillette United States
Fred F. Kadlubar United States
M.D. Burke relative to Thomas K. H. Chang United States Thomas K. H. Chang's profile →
Citations per field
00.5×1.5×2.1×
Thomas K. H. Chang · 1×
Citations per year

Countries citing papers authored by M.D. Burke

Since Specialization
Citations

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

Fields of papers citing papers by M.D. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside M.D. Burke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.D. Burke Line = papers co-authored together M.D. Burke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2002316
2 199934
3 199863
4 199530
5 199428
6 199490
7 19945
8 199355
9 199366
10 199336
11 199350
12 199314
13
Enzyme Histochemistry on Freeze-dried, Resin-embedded Tissue'
19891
14 198914
15 198813
16 198720
17 19878
18 198721
19 198685
20 1978340

About M.D. Burke

M.D. Burke is a scholar working on Pharmacology, Biochemistry, Oncology, Pharmacology and Molecular Biology, having authored 132 papers that have together received 9.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (88 papers), Drug Transport and Resistance Mechanisms (29 papers), Eicosanoids and Hypertension Pharmacology (16 papers), Glutathione Transferases and Polymorphisms (14 papers), Inflammatory mediators and NSAID effects (13 papers), Analytical Chemistry and Chromatography (11 papers), Drug-Induced Hepatotoxicity and Protection (11 papers) and Genomics, phytochemicals, and oxidative stress (9 papers). The work is most often cited by research in Pharmacology (5.2k citations), Health, Toxicology and Mutagenesis (1.9k citations), Biochemistry (941 citations), Cancer Research (1.6k citations) and Oncology (2.2k citations). M.D. Burke has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Richard T. Mayer, S. Thompson, William T. Melvin, Russell A. Prough, Clifford R. Elcombe, James R. Halpert, Tapio Haaparanta, Graeme I. Murray, Richard Weaver and William F. Greenlee. Their work appears in journals such as Biochemical Pharmacology, Biochemical Society Transactions, Xenobiotica, Drug Metabolism and Disposition and Biochemical Journal.

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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