Michael Macoritto

811 total citations
18 papers, 607 citations indexed

About

Michael Macoritto is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Michael Macoritto has authored 18 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 7 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Michael Macoritto's work include Inflammatory Bowel Disease (6 papers), Microscopic Colitis (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). Michael Macoritto is often cited by papers focused on Inflammatory Bowel Disease (6 papers), Microscopic Colitis (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). Michael Macoritto collaborates with scholars based in Canada, United States and Australia. Michael Macoritto's co-authors include Richard Kremer, Gustavo Duque, Dao Chao Huang, Xian Yang, Daniel Rivas, Natalie Dion, Louis‐Georges Ste‐Marie, L.-G. Ste-Marie, Marilyn M. Miller and Jiarong Li and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Michael Macoritto

17 papers receiving 583 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 Macoritto Canada 13 317 125 120 101 95 18 607
Lance A. Stechschulte United States 17 481 1.5× 103 0.8× 112 0.9× 43 0.4× 137 1.4× 18 956
Elizabeth Rendina-Ruedy United States 17 444 1.4× 151 1.2× 189 1.6× 29 0.3× 70 0.7× 32 838
Lige Song China 10 351 1.1× 109 0.9× 105 0.9× 39 0.4× 59 0.6× 20 564
Danielle Callaway United States 10 392 1.2× 116 0.9× 113 0.9× 27 0.3× 31 0.3× 17 629
Aline Delalandre Canada 14 272 0.9× 102 0.8× 65 0.5× 23 0.2× 43 0.5× 24 703
Sílvia Carbonell Sala Italy 12 391 1.2× 172 1.4× 31 0.3× 63 0.6× 115 1.2× 28 857
Kevin McAndrews United States 9 333 1.1× 161 1.3× 140 1.2× 27 0.3× 54 0.6× 19 514
Chandra S. Boosani United States 15 288 0.9× 53 0.4× 67 0.6× 67 0.7× 30 0.3× 29 563
Takeshi Ueha Japan 15 205 0.6× 71 0.6× 70 0.6× 62 0.6× 51 0.5× 37 663
Y.F. Ma United States 15 336 1.1× 317 2.5× 324 2.7× 45 0.4× 162 1.7× 30 756

Countries citing papers authored by Michael Macoritto

Since Specialization
Citations

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

Fields of papers citing papers by Michael Macoritto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Macoritto

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

All Works

18 of 18 papers shown
1.
Jin, Liang, Michael Macoritto, Yingtao Bi, et al.. (2024). Multi-Omics Characterization of Colon Mucosa and Submucosa/Wall from Crohn’s Disease Patients. International Journal of Molecular Sciences. 25(10). 5108–5108.
2.
Cao, Yonghao, Bohdan P. Harvey, Liang Jin, et al.. (2023). Therapeutic TNF Inhibitors Exhibit Differential Levels of Efficacy in Accelerating Cutaneous Wound Healing. SHILAP Revista de lepidopterología. 4(1). 100250–100250. 3 indexed citations
3.
Macoritto, Michael, et al.. (2022). The Clinical Response of Upadacitinib and Risankizumab Is Associated With Reduced Inflammatory Bowel Disease Anti-TNF-α Inadequate Response Mechanisms. Inflammatory Bowel Diseases. 29(5). 771–782. 16 indexed citations
4.
Jin, Liang, Li Li, Chenqi Hu, et al.. (2019). Integrative Analysis of Transcriptomic and Proteomic Profiling in Inflammatory Bowel Disease Colon Biopsies. Inflammatory Bowel Diseases. 25(12). 1906–1918. 22 indexed citations
5.
Laifenfeld, Daphna, Luping Qiu, Rachel Swiss, et al.. (2013). Utilization of Causal Reasoning of Hepatic Gene Expression in Rats to Identify Molecular Pathways of Idiosyncratic Drug-Induced Liver Injury. Toxicological Sciences. 137(1). 234–248. 26 indexed citations
6.
Toedter, Gary, Katherine Li, Sarah Sague, et al.. (2012). Genes Associated with Intestinal Permeability in Ulcerative Colitis: Changes in Expression Following Infliximab Therapy. Inflammatory Bowel Diseases. 18(8). 1399–1410. 38 indexed citations
7.
Macoritto, Michael, et al.. (2012). A Novel Mechanistic Biomarker Panel Predicts Response to Infliximab in Patients with Crohnʼs Disease. Inflammatory Bowel Diseases. 18. S61–S61. 2 indexed citations
8.
Duque, Gustavo, Dao Chao Huang, Natalie Dion, et al.. (2011). Interferon-γ plays a role in bone formation in vivo and rescues osteoporosis in ovariectomized mice. Journal of Bone and Mineral Research. 26(7). 1472–1483. 130 indexed citations
9.
Kumar, Rakesh, Stephen J. Blakemore, Catherine Ellis, et al.. (2010). Causal reasoning identifies mechanisms of sensitivity for a novel AKT kinase inhibitor, GSK690693. BMC Genomics. 11(1). 419–419. 27 indexed citations
10.
11.
Macoritto, Michael, et al.. (2009). Abstract C58: Causal Network™ Modeling identifies common and unique mechanisms for sensitivity to the PI3K inhibitor GSK1059615 and the AKT inhibitor GSK690693. Molecular Cancer Therapeutics. 8(12_Supplement). C58–C58. 2 indexed citations
12.
Duque, Gustavo, Dao Chao Huang, Michael Macoritto, et al.. (2008). Autocrine Regulation of Interferon γ in Mesenchymal Stem Cells Plays a Role in Early Osteoblastogenesis. Stem Cells. 27(3). 550–558. 93 indexed citations
13.
Macoritto, Michael, Loan Nguyen‐Yamamoto, Dao Chao Huang, et al.. (2007). Phosphorylation of the Human Retinoid X Receptor α at Serine 260 Impairs Coactivator(s) Recruitment and Induces Hormone Resistance to Multiple Ligands. Journal of Biological Chemistry. 283(8). 4943–4956. 40 indexed citations
14.
Duque, Gustavo, Michael Macoritto, Natalie Dion, Louis‐Georges Ste‐Marie, & Richard Kremer. (2004). 1,25(OH)2D3 acts as a bone-forming agent in the hormone-independent senescence-accelerated mouse (SAM-P/6). American Journal of Physiology-Endocrinology and Metabolism. 288(4). E723–E730. 39 indexed citations
15.
Duque, Gustavo, Michael Macoritto, & Richard Kremer. (2004). Vitamin D treatment of senescence accelerated mice (SAM-P/6) induces several regulators of stromal cell plasticity. Biogerontology. 5(6). 421–429. 31 indexed citations
16.
Duque, Gustavo, Michael Macoritto, & Richard Kremer. (2003). 1,25(OH)2D3 inhibits bone marrow adipogenesis in senescence accelerated mice (SAM-P/6) by decreasing the expression of peroxisome proliferator-activated receptor gamma 2 (PPARγ2). Experimental Gerontology. 39(3). 333–338. 64 indexed citations
17.
Duque, Gustavo, et al.. (2002). Estrogens (E2) regulate expression and response of 1,25-dihydroxyvitamin D3 receptors in bone cells: changes with aging and hormone deprivation. Biochemical and Biophysical Research Communications. 299(3). 446–454. 60 indexed citations
18.
Macoritto, Michael, et al.. (2001). The Unique Tryptophan Residue of the Vitamin D Receptor Is Critical for Ligand Binding and Transcriptional Activation. Journal of Bone and Mineral Research. 16(1). 39–45. 13 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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