Michael D. Mitchell

852 total citations
25 papers, 625 citations indexed

About

Michael D. Mitchell is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, Michael D. Mitchell has authored 25 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pharmacology and 3 papers in Genetics. Recurrent topics in Michael D. Mitchell's work include Pharmacogenetics and Drug Metabolism (4 papers), Computational Drug Discovery Methods (2 papers) and Fecal contamination and water quality (2 papers). Michael D. Mitchell is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Computational Drug Discovery Methods (2 papers) and Fecal contamination and water quality (2 papers). Michael D. Mitchell collaborates with scholars based in United States, Netherlands and United Kingdom. Michael D. Mitchell's co-authors include Jennie Walgren, David C. Thompson, M. Albert Vannice, David C. Thompson, Mollisa M. Elrick, Henk J. Busscher, Henny C. van der Mei, Dimitris I. Collias, Timothy G. Brayman and Dale L. Morris and has published in prestigious journals such as Environmental Science & Technology, The FASEB Journal and Journal of Colloid and Interface Science.

In The Last Decade

Michael D. Mitchell

23 papers receiving 593 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. Mitchell United States 12 224 169 82 75 61 25 625
Hongbin Yu China 16 153 0.7× 336 2.0× 131 1.6× 109 1.5× 45 0.7× 57 803
Toshihide Takagi Japan 11 63 0.3× 232 1.4× 101 1.2× 227 3.0× 38 0.6× 29 884
Michael T. Ringel Germany 15 243 1.1× 337 2.0× 116 1.4× 40 0.5× 22 0.4× 21 982
Franklin G. King United States 9 52 0.2× 90 0.5× 151 1.8× 42 0.6× 16 0.3× 16 435
Rongwu Xiang China 17 73 0.3× 214 1.3× 46 0.6× 29 0.4× 39 0.6× 42 762
Paula A. Bracco Brazil 14 94 0.4× 310 1.8× 32 0.4× 47 0.6× 13 0.2× 32 590
Rui Shen China 13 29 0.1× 197 1.2× 89 1.1× 91 1.2× 19 0.3× 42 708
Teh‐Min Hu Taiwan 14 71 0.3× 114 0.7× 58 0.7× 118 1.6× 31 0.5× 44 582
Phuong Tu Huynh South Korea 14 93 0.4× 139 0.8× 72 0.9× 50 0.7× 18 0.3× 20 523

Countries citing papers authored by Michael D. Mitchell

Since Specialization
Citations

This map shows the geographic impact of Michael D. Mitchell'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. Mitchell 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. Mitchell more than expected).

Fields of papers citing papers by Michael D. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Mitchell. A scholar is included among the top collaborators of Michael D. Mitchell 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. Mitchell. Michael D. Mitchell 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.
Kim, Min‐Su, John Lough, Aron M. Geurts, Michael D. Mitchell, & Aoy Tomita‐Mitchell. (2019). CRISPR/Cas9‐mediated Genome Editing in Patient‐Derived iPSC‐Cardiomyocytes Recapitulates an MYH6 ‐R443P Phenotype in a HLHS Family. The FASEB Journal. 33(S1). 1 indexed citations
2.
Mitchell, Michael D., et al.. (2017). Modeling Peste des Petits Ruminants (PPR) Disease Propagation and Control Strategies Using Memoryless State Transitions. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1(2). 90–90. 4 indexed citations
3.
Williamson, Beth, et al.. (2016). Evaluation of a novel PXR‐knockout in HepaRG™cells. Pharmacology Research & Perspectives. 4(5). e00264–e00264. 7 indexed citations
4.
Li, Daochuan, Bryan Mackowiak, Timothy G. Brayman, et al.. (2015). Genome-wide analysis of human constitutive androstane receptor (CAR) transcriptome in wild-type and CAR-knockout HepaRG cells. Biochemical Pharmacology. 98(1). 190–202. 47 indexed citations
5.
Mitchell, Michael D.. (2012). Social Media—Sprint Out of the Gates!. Plastic Surgical Nursing. 32(2). 73–76. 1 indexed citations
6.
Mitchell, Michael D.. (2012). Introduction to Social Media. Plastic Surgical Nursing. 31(1). 32–33. 1 indexed citations
7.
Mitchell, Michael D., David M. Mannino, Douglas Steinke, et al.. (2011). Association of Smoking and Chronic Pain Syndromes in Kentucky Women. Journal of Pain. 12(8). 892–899. 34 indexed citations
8.
Busscher, Henk J., et al.. (2008). Interaction forces between waterborne bacteria and activated carbon particles. Journal of Colloid and Interface Science. 322(1). 351–357. 23 indexed citations
9.
Mei, Henny C. van der, Jelly Atema‐Smit, Debbie De Jager, et al.. (2008). Influence of adhesion to activated carbon particles on the viability of waterborne pathogenic bacteria under flow. Biotechnology and Bioengineering. 100(4). 810–813. 21 indexed citations
10.
Mei, Henny C. van der, Minie Rustema‐Abbing, Dimitris I. Collias, et al.. (2007). Adhesion and viability of waterborne pathogens on p‐DADMAC coatings. Biotechnology and Bioengineering. 99(1). 165–169. 27 indexed citations
11.
Walgren, Jennie, Michael D. Mitchell, Laurence O. Whiteley, & David C. Thompson. (2006). Evaluation of Two Novel Peptide Safety Markers for Exocrine Pancreatic Toxicity. Toxicological Sciences. 96(1). 184–193. 6 indexed citations
12.
Elrick, Mollisa M., Jennie Walgren, Michael D. Mitchell, & David C. Thompson. (2006). Proteomics: Recent Applications and New Technologies. Basic & Clinical Pharmacology & Toxicology. 98(5). 432–441. 38 indexed citations
13.
Walgren, Jennie, Michael D. Mitchell, Laurence O. Whiteley, & David C. Thompson. (2006). Identification of Novel Peptide Safety Markers for Exocrine Pancreatic Toxicity Induced by Cyanohydroxybutene. Toxicological Sciences. 96(1). 174–183. 7 indexed citations
14.
Walgren, Jennie, Michael D. Mitchell, & David C. Thompson. (2005). Role of Metabolism in Drug-Induced Idiosyncratic Hepatotoxicity. Critical Reviews in Toxicology. 35(4). 325–361. 232 indexed citations
15.
Mitchell, Michael D., et al.. (2002). A HIPAA primer.. PubMed. 99(5). 139–139. 1 indexed citations
16.
Rodi, Charles P., Roderick T. Bunch, Sandra W. Curtiss, et al.. (1999). Revolution through Genomics in Investigative and Discovery Toxicology. Toxicologic Pathology. 27(1). 107–110. 28 indexed citations
17.
Mitchell, Michael D. & Jack McKenna. (1987). Third Wave Management: Are We Ready?. ˜The œOrganizational behavior teaching review. 11(2). 1–18. 3 indexed citations
18.
Mitchell, Michael D. & M. Albert Vannice. (1984). Adsorption and catalytic behavior of palladium dispersed on rare earth oxides. Industrial & Engineering Chemistry Fundamentals. 23(1). 88–96. 56 indexed citations
19.
Pan, Yutian, Michael D. Mitchell, & Alan D. Elbein. (1978). Studies on the trehalose-phosphate synthase of Mycobacterium smegmatis: Binding of heparin to the enzyme. Archives of Biochemistry and Biophysics. 186(2). 392–400. 6 indexed citations
20.
Alker, Hayward R., et al.. (1976). Jury Selection as a Biased Social Process. Law & Society Review. 11(1). 9–41. 19 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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