Michael Morrissey

15.1k total citations
25 papers, 718 citations indexed

About

Michael Morrissey is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Michael Morrissey has authored 25 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Michael Morrissey's work include Cancer Genomics and Diagnostics (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Lung Cancer Research Studies (3 papers). Michael Morrissey is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Lung Cancer Research Studies (3 papers). Michael Morrissey collaborates with scholars based in United States, Spain and Switzerland. Michael Morrissey's co-authors include Eugene I. Shakhnovich, John C. Bischof, Markus Riester, Jeunghwan Choi, Alexandra Snyder, Robert B. Gilchrist, A. Rose Brannon, Rebecca Mosher, Lesley J. Ritter and David T. Armstrong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Molecular and Cellular Biology.

In The Last Decade

Michael Morrissey

24 papers receiving 704 citations

Peers

Michael Morrissey
Enken Drecoll Germany
Filatov Mv Russia
Rumana Rashid United States
Peter Ulintz United States
Maria P. Alcolea United Kingdom
Pierre Ronco France
Huamin Qin China
Geneviève Lavoie Canada
Giacomo Pirovano United States
Katiuchia Uzzun Sales United States
Enken Drecoll Germany
Michael Morrissey
Citations per year, relative to Michael Morrissey Michael Morrissey (= 1×) peers Enken Drecoll

Countries citing papers authored by Michael Morrissey

Since Specialization
Citations

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

Fields of papers citing papers by Michael Morrissey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Morrissey

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Morrissey. A scholar is included among the top collaborators of Michael Morrissey 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 Morrissey. Michael Morrissey 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.
Cristescu, Răzvan, Michael Nebozhyn, Chunsheng Zhang, et al.. (2021). Transcriptomic Determinants of Response to Pembrolizumab Monotherapy across Solid Tumor Types. Clinical Cancer Research. 28(8). 1680–1689. 40 indexed citations
2.
Garassino, Marina Chiara, Shirish M. Gadgeel, Delvys Rodríguez‐Abreu, et al.. (2020). Evaluation of blood TMB (bTMB) in KEYNOTE-189: Pembrolizumab (pembro) plus chemotherapy (chemo) with pemetrexed and platinum versus placebo plus chemo as first-line therapy for metastatic nonsquamous NSCLC.. Journal of Clinical Oncology. 38(15_suppl). 9521–9521. 13 indexed citations
3.
Snyder, Alexandra, Michael Morrissey, & Matthew D. Hellmann. (2019). Use of Circulating Tumor DNA for Cancer Immunotherapy. Clinical Cancer Research. 25(23). 6909–6915. 28 indexed citations
4.
Morrissey, Michael. (2018). Sacred Marriage. Jung Journal. 12(3). 80–84.
5.
Riester, Markus, Angad Singh, A. Rose Brannon, et al.. (2016). PureCN: copy number calling and SNV classification using targeted short read sequencing. PubMed. 11(1). 13–13. 73 indexed citations
6.
Yao, James C., Abhishek D. Garg, David Chen, et al.. (2016). Distinctive chromosomal instability (CIN) patterns and its prognostic value in pancreatic neuroendocrine tumors (pNET).. Journal of Clinical Oncology. 34(15_suppl). e23284–e23284. 1 indexed citations
7.
Brannon, A. Rose, Melissa Frizziero, David Chen, et al.. (2015). Molecular analysis of a male breast cancer patient with prolonged stable disease under mTOR/PI3K inhibitors BEZ235/everolimus. Molecular Case Studies. 2(2). a000620–a000620. 6 indexed citations
8.
Sonkin, Dmitriy, Michael R. Palmer, Catherine H. Régnier, et al.. (2015). The identification and characterization of a STAT5 gene signature in hematologic malignancies. Cancer Biomarkers. 15(1). 79–87. 7 indexed citations
9.
10.
Sonkin, Dmitriy, Catherine H. Régnier, Christie Fanton, et al.. (2013). Identification of pSTAT5 gene signature in hematologic malignancy.. Journal of Clinical Oncology. 31(15_suppl). 7111–7111. 1 indexed citations
11.
Barretina, Jordi, Giordano Caponigro, Krishnaraju Venkatesan, et al.. (2012). 22 The Cancer Cell Line Encyclopedia - Using Preclinical Models to Predict Anticancer Drug Sensitivity. European Journal of Cancer. 48. S5–S6. 45 indexed citations
12.
Jagani, Zainab, Dmitri Wiederschain, Alice Loo, et al.. (2010). The Polycomb Group Protein Bmi-1 Is Essential for the Growth of Multiple Myeloma Cells. Cancer Research. 70(13). 5528–5538. 48 indexed citations
13.
Venkatesan, K., Nicolas Stransky, Adam A. Margolin, et al.. (2010). Prediction of drug response using genomic signatures from the Cancer Cell Line Encyclopedia. Clinical Cancer Research. 16(19_Supplement). PR2–PR2. 6 indexed citations
14.
Shah, Neha, Willem F. Wolkers, Michael Morrissey, Wendell Q. Sun, & John C. Bischof. (2009). Fourier Transform Infrared Spectroscopy Investigation of Native Tissue Matrix Modifications Using a Gamma Irradiation Process. Tissue Engineering Part C Methods. 15(1). 33–40. 17 indexed citations
15.
Morrissey, Michael. (2009). The aerodynamics of the knuckleball pitch: An experimental investigation into the effects that the seam and slow rotation have on a baseball. e-publications - Marquette (Marquette University). 4 indexed citations
16.
Wiederschain, Dmitri, Lin Chen, Brett V. Johnson, et al.. (2007). Contribution of Polycomb Homologues Bmi-1 and Mel-18 to Medulloblastoma Pathogenesis. Molecular and Cellular Biology. 27(13). 4968–4979. 90 indexed citations
17.
Wolkers, Willem F., Neha Shah, Michael Morrissey, Wendell Q. Sun, & John C. Bischof. (2007). 77. Effect of gamma sterilization on proteins in AlloDermTM regenerative tissue matrix. Cryobiology. 55(3). 349–350. 2 indexed citations
18.
Gilchrist, Robert B., Michael Morrissey, Lesley J. Ritter, & David T. Armstrong. (2003). Comparison of oocyte factors and transforming growth factor-β in the regulation of DNA synthesis in bovine granulosa cells. Molecular and Cellular Endocrinology. 201(1-2). 87–95. 42 indexed citations
19.
Morrissey, Michael, Z. Ahmed, & Eugene I. Shakhnovich. (2003). The role of cotranslation in protein folding: a lattice model study. Polymer. 45(2). 557–571. 30 indexed citations
20.
Morrissey, Michael & Eugene I. Shakhnovich. (1996). Design of proteins with selected thermal properties. PubMed. 1(5). 391–405. 53 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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