Michael E. Burczynski

6.0k total citations · 1 hit paper
50 papers, 4.3k citations indexed

About

Michael E. Burczynski is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Michael E. Burczynski has authored 50 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 14 papers in Cell Biology and 13 papers in Cancer Research. Recurrent topics in Michael E. Burczynski's work include Aldose Reductase and Taurine (13 papers), Cancer Genomics and Diagnostics (8 papers) and Pharmacogenetics and Drug Metabolism (7 papers). Michael E. Burczynski is often cited by papers focused on Aldose Reductase and Taurine (13 papers), Cancer Genomics and Diagnostics (8 papers) and Pharmacogenetics and Drug Metabolism (7 papers). Michael E. Burczynski collaborates with scholars based in United States, Canada and United Kingdom. Michael E. Burczynski's co-authors include T.M. Penning, Nisha Palackal, Chien‐Fu Hung, Saumya Pant, Holly Hilton, Andrew J. Dorner, Haiching Ma, Kapila Ratnam, Joseph M. Jez and Margaret Moore and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Michael E. Burczynski

49 papers receiving 4.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human 3α-hydroxysteroid dehydrogenase isoforms (AKR1C1‒AKR1C4) of the aldo-keto reductase superfamily: functional plasticity and tissue distribution reveals roles in the inactivation and formation of male and female sex hormones

2000 505 citations T.M. Penning, Michael E. Burczynski et al. Biochemical Journal profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael E. Burczynski United States	30	2.1k	942	926	532	408	50	4.3k
Amedeo Columbano Italy	46	3.7k 1.7×	1.7k 1.8×	499 0.5×	840 1.6×	995 2.4×	157	6.6k
Wen‐Xing Ding United States	52	3.3k 1.6×	613 0.7×	1.0k 1.1×	450 0.8×	671 1.6×	141	8.5k
Udayan Apte United States	44	2.3k 1.1×	431 0.5×	596 0.6×	169 0.3×	890 2.2×	109	5.5k
Montserrat Marı́ Spain	46	3.6k 1.7×	486 0.5×	705 0.8×	449 0.8×	413 1.0×	81	6.9k
Stephen Ferguson United States	38	1.6k 0.8×	572 0.6×	295 0.3×	507 1.0×	795 1.9×	108	5.1k
Bradford G. Hill United States	45	4.2k 1.9×	832 0.9×	548 0.6×	250 0.5×	390 1.0×	129	7.4k
Julie F. Foley United States	47	2.7k 1.2×	1.1k 1.1×	187 0.2×	944 1.8×	912 2.2×	128	6.3k
Byron Kemper United States	42	3.6k 1.7×	537 0.6×	557 0.6×	662 1.2×	1.3k 3.2×	110	6.5k
Shuhei Tomita Japan	36	1.7k 0.8×	956 1.0×	193 0.2×	261 0.5×	737 1.8×	132	4.4k
Chengyuan Tang China	39	2.9k 1.3×	643 0.7×	353 0.4×	176 0.3×	237 0.6×	100	6.1k

Countries citing papers authored by Michael E. Burczynski

Since Specialization

Citations

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

Fields of papers citing papers by Michael E. Burczynski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael E. Burczynski

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E. Burczynski. A scholar is included among the top collaborators of Michael E. Burczynski 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 Michael E. Burczynski. Michael E. Burczynski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Su, Qi, Sun Y. Kim, Ye Zhou, et al.. (2021). Single-cell RNA transcriptome landscape of hepatocytes and non-parenchymal cells in healthy and NAFLD mouse liver. iScience. 24(11). 103233–103233. 72 indexed citations

Kusko, Rebecca, Yoonjeong Cha, Renan Escalante-Chong, et al.. (2018). Large-scale transcriptomic analysis reveals that pridopidine reverses aberrant gene expression and activates neuroprotective pathways in the YAC128 HD mouse. Molecular Neurodegeneration. 13(1). 25–25. 35 indexed citations

Weidlich, Simone, Katherine Walsh, D. Crowther, et al.. (2011). Pyrosequencing-based methods reveal marked inter-individual differences in oncogene mutation burden in human colorectal tumours. British Journal of Cancer. 105(2). 246–254. 22 indexed citations

Preskorn, Sheldon, Albena Patroneva, Qin Jiang, et al.. (2009). Comparison of the Pharmacokinetics of Venlafaxine Extended Release and Desvenlafaxine in Extensive and Poor Cytochrome P450 2D6 Metabolizers. Journal of Clinical Psychopharmacology. 29(1). 39–43. 61 indexed citations

Kane, Cecelia P., et al.. (2009). P.2.c.037 Assessing the pharmacokinetics of venlafaxine er 75 mg and desvenlafaxine 50 mg in CYP2D6 extensive and poor metabolisers. European Neuropsychopharmacology. 19. S425–S425. 1 indexed citations

Ledger, Katie St., Marion T. Kasaian, S. Bradley Forlow, et al.. (2009). Analytical validation of a highly sensitive microparticle-based immunoassay for the quantitation of IL-13 in human serum using the Erenna® immunoassay system. Journal of Immunological Methods. 350(1-2). 161–170. 40 indexed citations

Coughlin, Christina, Marisa Dolled‐Filhart, Charles Zacharchuk, et al.. (2008). Src pathway activation correlates with treatment resistance in breast cancer and identifies patient subsets predicted to benefit from Src inhibition. Clinical Cancer Research. 14. 1 indexed citations

Frick, Glen, Sangeeta Raje, S. Bradley Forlow, et al.. (2008). P4‐366: GSI‐953, a potent and selective gamma‐secretase inhibitor: Modulation of beta‐amyloid peptides and plasma and cerebrospinal fluid pharmacokinetic/pharmacodynamic relationships in humans. Alzheimer s & Dementia. 4(4S_Part_24). 14 indexed citations

DiBlasio-Smith, Elizabeth A., Maya Arai, Elaine Quinet, et al.. (2008). Discovery and implementation of transcriptional biomarkers of synthetic LXR agonists in peripheral blood cells. Journal of Translational Medicine. 6(1). 59–59. 34 indexed citations

10.

Patroneva, Albena, Ron Pedersen, Qin Jiang, et al.. (2008). An Assessment of Drug-Drug Interactions: The Effect of Desvenlafaxine and Duloxetine on the Pharmacokinetics of the CYP2D6 Probe Desipramine in Healthy Subjects. Drug Metabolism and Disposition. 36(12). 2484–2491. 43 indexed citations

11.

Burczynski, Michael E.. (2008). Pharmacogenomic approaches in clinical studies to identify biomarkers of safety and efficacy. Toxicology Letters. 186(1). 18–21. 4 indexed citations

12.

Burczynski, Michael E., Ron Peterson, Natalie C. Twine, et al.. (2006). Molecular Classification of Crohn's Disease and Ulcerative Colitis Patients Using Transcriptional Profiles in Peripheral Blood Mononuclear Cells. Journal of Molecular Diagnostics. 8(1). 51–61. 191 indexed citations

13.

Boni, Joseph, Cathie Leister, Virginia Fitzpatrick, et al.. (2005). Population pharmacokinetics of CCI-779: Correlations to safety and pharmacogenomic responses in patients with advanced renal cancer. Clinical Pharmacology & Therapeutics. 77(1). 76–89. 68 indexed citations

14.

Twine, Natalie C., Gary Dukart, Manuel Hidalgo, et al.. (2003). Disease-associated expression profiles in peripheral blood mononuclear cells from patients with advanced renal cell carcinoma.. PubMed. 63(18). 6069–75. 117 indexed citations

15.

McMillian, Michael, Elfrida R. Grant, Zhong Zhong, et al.. (2001). Nile Red Binding to HepG2 Cells: An Improved Assay for In Vitro Studies of Hepatosteatosis. PubMed. 14(3). 177–190. 94 indexed citations

16.

Burczynski, Michael E., Michael McMillian, J. Brandon Parker, et al.. (2001). Cytochrome P450 induction in rat hepatocytes assessed by quantitative real-time reverse-transcription polymerase chain reaction and the RNA invasive cleavage assay.. PubMed. 29(9). 1243–50. 27 indexed citations

17.

Palackal, Nisha, Michael E. Burczynski, Ronald G. Harvey, & T.M. Penning. (2001). Metabolic activation of polycyclic aromatic hydrocarbon trans-dihydrodiols by ubiquitously expressed aldehyde reductase (AKR1A1). Chemico-Biological Interactions. 130-132(1-3). 815–824. 29 indexed citations

18.

Penning, T.M., Michael E. Burczynski, Joseph M. Jez, et al.. (2001). Structure-function aspects and inhibitor design of type 5 17β-hydroxysteroid dehydrogenase (AKR1C3). Molecular and Cellular Endocrinology. 171(1-2). 137–149. 82 indexed citations

19.

Penning, T.M., Michael E. Burczynski, Joseph M. Jez, et al.. (2000). Human 3α-hydroxysteroid dehydrogenase isoforms (AKR1C1–AKR1C4) of the aldo-keto reductase superfamily: functional plasticity and tissue distribution reveals roles in the inactivation and formation of male and female sex hormones. Biochemical Journal. 351(1). 67–77. 299 indexed citations

20.

Penning, T.M., Michael E. Burczynski, Joseph M. Jez, et al.. (2000). Human 3α-hydroxysteroid dehydrogenase isoforms (AKR1C1‒AKR1C4) of the aldo-keto reductase superfamily: functional plasticity and tissue distribution reveals roles in the inactivation and formation of male and female sex hormones. Biochemical Journal. 351(1). 67–67. 505 indexed citations breakdown →

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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