Michael D. Kane

1.2k total citations
28 papers, 879 citations indexed

About

Michael D. Kane is a scholar working on Molecular Biology, Genetics and Organic Chemistry. According to data from OpenAlex, Michael D. Kane has authored 28 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Organic Chemistry. Recurrent topics in Michael D. Kane's work include Gene expression and cancer classification (7 papers), Genetics, Bioinformatics, and Biomedical Research (6 papers) and Molecular Biology Techniques and Applications (3 papers). Michael D. Kane is often cited by papers focused on Gene expression and cancer classification (7 papers), Genetics, Bioinformatics, and Biomedical Research (6 papers) and Molecular Biology Techniques and Applications (3 papers). Michael D. Kane collaborates with scholars based in United States, Canada and Honduras. Michael D. Kane's co-authors include Gary E. Isom, Marı́a S. Sepúlveda, Karen H. Watanabe, Nancy D. Denslow, Edward F. Orlando, Sergei Savikhin, Bruce Applegate, Hanyoup Kim, Alejandra J. Magana and Kari Clase and has published in prestigious journals such as Nucleic Acids Research, Journal of Neurochemistry and Biosensors and Bioelectronics.

In The Last Decade

Michael D. Kane

27 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Kane United States 14 566 106 105 72 71 28 879
Pål Puntervoll Norway 19 768 1.4× 120 1.1× 55 0.5× 20 0.3× 72 1.0× 42 1.3k
Pedro Echave Spain 9 563 1.0× 68 0.6× 88 0.8× 61 0.8× 24 0.3× 10 835
Christian Ebeling Germany 16 800 1.4× 86 0.8× 51 0.5× 54 0.8× 137 1.9× 24 1.2k
Niklas Gustavsson Sweden 18 791 1.4× 123 1.2× 173 1.6× 43 0.6× 53 0.7× 25 1.1k
Stephanie Kim United States 13 914 1.6× 134 1.3× 135 1.3× 28 0.4× 191 2.7× 29 1.4k
Kurt E. Kwast United States 16 973 1.7× 71 0.7× 120 1.1× 68 0.9× 101 1.4× 18 1.3k
Adeel Malik South Korea 17 723 1.3× 55 0.5× 60 0.6× 35 0.5× 59 0.8× 49 1.0k
Robert Frangež Slovenia 19 357 0.6× 134 1.3× 81 0.8× 42 0.6× 20 0.3× 76 940

Countries citing papers authored by Michael D. Kane

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Kane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Kane

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Kane. A scholar is included among the top collaborators of Michael D. Kane 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 D. Kane. Michael D. Kane 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
1.
Mehnert, Janice M., Ann W. Silk, Byeong‐Seon Jeong, et al.. (2018). A phase II trial of riluzole, an antagonist of metabotropic glutamate receptor 1 (GRM1) signaling, in patients with advanced melanoma. Pigment Cell & Melanoma Research. 31(4). 534–540. 37 indexed citations
2.
Magana, Alejandra J., et al.. (2014). A Survey of Scholarly Literature Describing the Field of Bioinformatics Education and Bioinformatics Educational Research. CBE—Life Sciences Education. 13(4). 607–623. 52 indexed citations
3.
Kane, Michael D., et al.. (2011). Pharmacogenomics Training Using an Instructional Software System. American Journal of Pharmaceutical Education. 75(2). 32–32. 22 indexed citations
4.
Kane, Michael D., et al.. (2011). INSTRUCTIONAL DESIGN AND ASSESSMENT Pharmacogenomics Training Using an Instructional Software System. 2 indexed citations
5.
Patel, Divya A., Duane W. Newton, Claire W. Michael, et al.. (2009). Development and evaluation of a PCR and mass spectroscopy (PCR–MS)-based method for quantitative, type-specific detection of human papillomavirus. Journal of Virological Methods. 160(1-2). 78–84. 13 indexed citations
6.
Denslow, Nancy D., et al.. (2009). Effects of estrogens and antiestrogens on gene expression of fathead minnow (Pimephales promelas) early life stages. Environmental Toxicology. 26(2). 195–206. 50 indexed citations
7.
Zhang, Mingwu, Qi Ouyang, Michael D. Kane, et al.. (2008). Interactive analysis of systems biology molecular expression data. BMC Systems Biology. 2(1). 23–23. 10 indexed citations
8.
Kane, Michael D., et al.. (2008). Drug Safety Assurance Through Clinical Genotyping: Near-Term Considerations for a System-Wide Implementation of Personalized Medicine. Personalized Medicine. 5(4). 387–397. 4 indexed citations
10.
Kim, Hanyoup, et al.. (2006). A molecular beacon DNA microarray system for rapid detection of E. coli O157:H7 that eliminates the risk of a false negative signal. Biosensors and Bioelectronics. 22(6). 1041–1047. 30 indexed citations
11.
Kemp, Michael Q., et al.. (2006). Induction of the transferrin receptor gene by benzo[a]pyrene in breast cancer MCF‐7 cells: Potential as a biomarker of PAH exposure. Environmental and Molecular Mutagenesis. 47(7). 518–526. 7 indexed citations
12.
Goodin, Susan, Kamakshi V. Rao, Michael D. Kane, et al.. (2005). A phase II trial of docetaxel and vinorelbine in patients with hormone-refractory prostate cancer. Cancer Chemotherapy and Pharmacology. 56(2). 199–204. 14 indexed citations
13.
Kane, Michael D.. (2005). Technical issues in DNA microarray production and utilization: impact on clinical research. Expert Review of Molecular Diagnostics. 5(5). 649–654. 4 indexed citations
14.
Kane, Michael D., et al.. (2001). A Streamflow Forecasting System for the Operation of the Panama Canal. 1–10. 1 indexed citations
15.
Sprague, Jon E., et al.. (2001). The Pharmacodynamic Characterization of an Antisense Oligonucleotide Against Monoamine Oxidase-B (MAO-B) in Rat Brain Striatal Tissue. Cellular and Molecular Neurobiology. 21(1). 53–64. 3 indexed citations
16.
Kane, Michael D.. (2000). Assessment of the sensitivity and specificity of oligonucleotide (50mer) microarrays. Nucleic Acids Research. 28(22). 4552–4557. 474 indexed citations
17.
Kane, Michael D., Roy D. Schwarz, M. Desiree Watson, et al.. (1999). Inhibitors of V‐Type ATPases, Bafilomycin A1 and Concanamycin A, Protect Against β‐Amyloid‐Mediated Effects on 3‐(4,5‐Dimethylthiazol‐2‐yl)‐2,5‐Diphenyltetrazolium Bromide (MTT) Reduction. Journal of Neurochemistry. 72(5). 1939–1947. 19 indexed citations
19.
Kane, Michael D., Ching‐Wen Yang, Palur G. Gunasekar, & Gary E. Isom. (1998). Trimethyltin Stimulates Protein Kinase C Translocation Through Receptor‐Mediated Phospholipase C Activation in PC12 Cells. Journal of Neurochemistry. 70(2). 509–514. 14 indexed citations
20.
Pavlaković, Goran, et al.. (1995). Activation of Protein Kinase C by Trimethyltin: Relevance to Neurotoxicity. Journal of Neurochemistry. 65(5). 2338–2343. 30 indexed citations

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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