Michael S. Orr

3.0k total citations
24 papers, 683 citations indexed

About

Michael S. Orr is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Michael S. Orr has authored 24 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Michael S. Orr's work include DNA Repair Mechanisms (5 papers), Cancer therapeutics and mechanisms (5 papers) and Cancer-related Molecular Pathways (5 papers). Michael S. Orr is often cited by papers focused on DNA Repair Mechanisms (5 papers), Cancer therapeutics and mechanisms (5 papers) and Cancer-related Molecular Pathways (5 papers). Michael S. Orr collaborates with scholars based in United States, Canada and China. Michael S. Orr's co-authors include David A. Gewirtz, Frank A. Fornari, Joyce K. Randolph, W. David Jarvis, Lijia Yu, P M O'Connor, Steven Grant, Sharon E. Straus, Rosella Silvestrini and L. Orlandi and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Nature Biotechnology.

In The Last Decade

Michael S. Orr

24 papers receiving 660 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 S. Orr United States 14 402 237 101 80 46 24 683
Ahmed Chenna United States 17 434 1.1× 243 1.0× 110 1.1× 200 2.5× 110 2.4× 45 852
Shinsuke Homma Japan 11 582 1.4× 90 0.4× 128 1.3× 88 1.1× 54 1.2× 29 949
Marzena Kamińska Poland 10 187 0.5× 278 1.2× 34 0.3× 151 1.9× 11 0.2× 20 683
Yinyun Ni China 11 243 0.6× 143 0.6× 44 0.4× 143 1.8× 9 0.2× 22 646
Jaak Janssens Belgium 10 133 0.3× 97 0.4× 70 0.7× 56 0.7× 9 0.2× 18 510
Young Min Ahn South Korea 14 565 1.4× 112 0.5× 99 1.0× 89 1.1× 24 0.5× 26 817
I S Fentiman United Kingdom 17 157 0.4× 479 2.0× 31 0.3× 286 3.6× 14 0.3× 37 1.0k
Jolanta Smok-Kalwat Poland 14 132 0.3× 129 0.5× 65 0.6× 49 0.6× 14 0.3× 35 474
Athena Starlard‐Davenport United States 17 554 1.4× 211 0.9× 46 0.5× 265 3.3× 15 0.3× 55 1.0k
Zhuogang Liu China 17 480 1.2× 145 0.6× 35 0.3× 191 2.4× 8 0.2× 61 831

Countries citing papers authored by Michael S. Orr

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Orr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Orr

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Orr. A scholar is included among the top collaborators of Michael S. Orr 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 S. Orr. Michael S. Orr 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.
Armstrong, Lucas C., Glenn E. Kirsch, Nikolai B. Fedorov, et al.. (2017). High-Throughput Patch Clamp Screening in Human α6-Containing Nicotinic Acetylcholine Receptors. SLAS DISCOVERY. 22(6). 686–695. 5 indexed citations
2.
Kirsch, Glenn E., Nikolai B. Fedorov, Yuri A. Kuryshev, et al.. (2016). Electrophysiology-Based Assays to Detect Subtype-Selective Modulation of Human Nicotinic Acetylcholine Receptors. Assay and Drug Development Technologies. 14(6). 333–344. 13 indexed citations
3.
Shu, Mao, Hui Wen Ng, Michael S. Orr, et al.. (2016). Homology Model and Ligand Binding Interactions of the Extracellular Domain of the Human <i>α</i>4<i>β</i>2 Nicotinic Acetylcholine Receptor. Journal of Biomedical Science and Engineering. 9(1). 41–100. 5 indexed citations
4.
Orr, Michael S.. (2014). Electronic cigarettes in the USA: a summary of available toxicology data and suggestions for the future: Table 1. Tobacco Control. 23(suppl 2). ii18–ii22. 86 indexed citations
5.
Mattes, William B., Xi Yang, Michael S. Orr, Patricia Richter, & Donna L. Mendrick. (2014). Biomarkers of Tobacco Smoke Exposure. Advances in clinical chemistry. 67. 1–45. 37 indexed citations
6.
Laupacis, Andreas, et al.. (2012). Systematic review and evaluation of web-accessible tools for management of diabetes and related cardiovascular risk factors by patients and healthcare providers. Journal of the American Medical Informatics Association. 19(4). 514–522. 47 indexed citations
7.
Orr, Michael S., et al.. (2007). The Experience with Voluntary Genomic Data Submissions at the FDA and a Vision for the Future of the Voluntary Data Submission Program. Clinical Pharmacology & Therapeutics. 81(2). 294–297. 22 indexed citations
8.
Tong, Weida, Anne Bergstrom Lucas, Richard Shippy, et al.. (2006). Evaluation of external RNA controls for the assessment of microarray performance. Nature Biotechnology. 24(9). 1132–1139. 69 indexed citations
9.
Orr, Michael S.. (2006). Toxicogenomics and Cross-Species Biomarker Discovery: Applications in Drug Discovery and Safety Assessment. Toxicology Mechanisms and Methods. 16(2-3). 79–87. 4 indexed citations
11.
Orr, Michael S.. (2000). Effects of c-erbB2 Overexpression on the Drug Sensitivities of Normal Human Mammary Epithelial Cells. JNCI Journal of the National Cancer Institute. 92(12). 987–994. 28 indexed citations
12.
Orr, Michael S., William C. Reinhold, Lijia Yu, Nicole Schreiber‐Agus, & P M O'Connor. (1998). An Important Role for the Retinoblastoma Protein in Staurosporine-induced G1 Arrest in Murine Embryonic Fibroblasts. Journal of Biological Chemistry. 273(7). 3803–3807. 17 indexed citations
13.
Yu, Lijia, L. Orlandi, Pei Wang, et al.. (1998). UCN-01 Abrogates G2 Arrest through a Cdc2-dependent Pathway That Is Associated with Inactivation of the Wee1Hu Kinase and Activation of the Cdc25C Phosphatase. Journal of Biological Chemistry. 273(50). 33455–33464. 87 indexed citations
16.
17.
Jarvis, W. David, et al.. (1996). Radiosensitization of HL-60 human leukaemia cells by bryostatin-1 in the absence of increased DNA fragmentation or apoptotic cell death. International Journal of Radiation Biology. 69(2). 183–192. 9 indexed citations
18.
Fornari, Frank A., W. David Jarvis, Steven Grant, et al.. (1996). Growth arrest and non-apoptotic cell death associated with the suppression of c-myc Expression in MCF-7 breast tumor cells following acute exposure to doxorubicin. Biochemical Pharmacology. 51(7). 931–940. 63 indexed citations
19.
Orr, Michael S., Frank A. Fornari, Joyce K. Randolph, & David A. Gewirtz. (1995). Transcriptional down-regulation of c-myc expression in the MCF-7 breast tumor cell line by the topoisomerase 11 inhibitor, VM-26. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1262(2-3). 139–145. 7 indexed citations
20.
Bunch, Roderick T., Lawrence F. Povirk, Michael S. Orr, et al.. (1994). Influence of amsacrine (m-AMSA) on bulk and gene-specific DNA damage and c-myc expression in MCF-7 breast tumor cells. Biochemical Pharmacology. 47(2). 317–329. 18 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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