Michael J. Dabrowski

497 citations
20 papers · 443 · h-index 11

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
  • Biochemistry top 10%

Papers in

    • Glutathione Transferases and Polymorphisms 4
    • Genomics, phytochemicals, and oxidative stress 4
    • RNA and protein synthesis mechanisms 3
    • Amino Acid Enzymes and Metabolism 4

Michael J. Dabrowski

20 papers receiving 440 citations

Peers

Michael J. Dabrowski
Comparison fields: 5 of 75
  • Pharmacology 134
  • Biochemistry 45
  • Health, Toxicology and Mutagenesis 84
  • Molecular Biology 198
  • Cancer Research 43
Replace David J. Porubek with:
David J. Porubek United States
Olaf Döhr Germany
Chunja Lee Canada
Hidenari Shigematsu Japan
Neil M. Wilson United States
Franz Kiefer Germany
Gudrun Urban United States
Telih Boyiri United States
Haruko Miller United States
A.M. Schumann United States
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Citations per field
00.5×2.8×
David J. Porubek · 1×
Citations per year

Countries citing papers authored by Michael J. Dabrowski

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Dabrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael J. Dabrowski, 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 Michael J. Dabrowski Line = papers co-authored together Michael J. Dabrowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200784
2 200275
3 200658
4 200442
5 199931
6 200623
7 200621
8 199621
9 199416
10 200714
11 200912
12 19948
13 19998
14 20058
15 20105
16 19954
17 20124
18 19984
19 19973
20 19962

About Michael J. Dabrowski

Michael J. Dabrowski is a scholar working on Molecular Biology, Biochemistry, Pharmacology, Materials Chemistry and Ecology, having authored 20 papers that have together received 443 indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), Glutathione Transferases and Polymorphisms (4 papers), Bacteriophages and microbial interactions (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), RNA and protein synthesis mechanisms (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Pharmacology (134 citations), Biochemistry (45 citations), Health, Toxicology and Mutagenesis (84 citations), Molecular Biology (198 citations) and Cancer Research (43 citations). Michael J. Dabrowski has collaborated with scholars based in United States and South Korea. Frequent co-authors include William M. Atkins, Terrance J. Kavanagh, Collin C. White, Larry C. Wienkers, Michael Schrag, Jing Shao, Evan P. Gallagher, Melissa Eckert, Dianne Botta and Nelson Fausto. Their work appears in journals such as Biochemistry, Protein Engineering Design and Selection, Journal of Biological Chemistry, Archives of Biochemistry and Biophysics and Toxicological Sciences.

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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