Michael O. Griffin

1.4k total citations
21 papers, 1.0k citations indexed

About

Michael O. Griffin is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Michael O. Griffin has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Michael O. Griffin's work include Pancreatic and Hepatic Oncology Research (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Signaling Pathways in Disease (4 papers). Michael O. Griffin is often cited by papers focused on Pancreatic and Hepatic Oncology Research (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Signaling Pathways in Disease (4 papers). Michael O. Griffin collaborates with scholars based in United States, Mexico and Israel. Michael O. Griffin's co-authors include Francisco Villarreal, Guillermo Ceballos, Eduardo Fricovsky, Wolfgang Dillmann, James W. Covell, Judy Nguyen, Jeffrey H. Omens, Diego Romero‐Perez, Susan Tsai and Douglas B. Evans and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Annals of Surgery.

In The Last Decade

Michael O. Griffin

21 papers receiving 1.0k citations

Peers

Michael O. Griffin
Michael O. Griffin
Citations per year, relative to Michael O. Griffin Michael O. Griffin (= 1×) peers Ionela Daniela Popescu

Countries citing papers authored by Michael O. Griffin

Since Specialization
Citations

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

Fields of papers citing papers by Michael O. Griffin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael O. Griffin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael O. Griffin. A scholar is included among the top collaborators of Michael O. Griffin 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 O. Griffin. Michael O. Griffin 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.
Griffin, Michael O., et al.. (2022). Undifferentiated carcinoma with osteoclast-like giant cells: A pathologic-radiologic correlation of a rare histologic subtype of pancreatic ductal adenocarcinoma. Annals of Diagnostic Pathology. 57. 151884–151884. 2 indexed citations
2.
Kulkarni, Naveen V., Bret Barnes, Samuel Bobholz, et al.. (2022). Image Quality Evaluation in Dual-Energy CT of the Chest, Abdomen, and Pelvis in Obese Patients With Deep Learning Image Reconstruction. Journal of Computer Assisted Tomography. 46(4). 604–611. 10 indexed citations
3.
McKinney, Martin F., Michael O. Griffin, & Parag Tolat. (2021). Multimodality Imaging for the Staging of Pancreatic Cancer. Surgical Oncology Clinics of North America. 30(4). 621–637. 3 indexed citations
4.
Krepline, Ashley N., Jennifer L. Geurts, Ben George, et al.. (2020). Cost-effectiveness analysis of universal germline testing for patients with pancreatic cancer. Surgery. 169(3). 629–635. 4 indexed citations
5.
McGarry, Sean D., John D. Bukowy, Kenneth A. Iczkowski, et al.. (2020). Radio-pathomic mapping model generated using annotations from five pathologists reliably distinguishes high-grade prostate cancer. Journal of Medical Imaging. 7(5). 54501–54501. 14 indexed citations
6.
Kulkarni, Naveen, Michael O. Griffin, Stacy D. O’Connor, & Gary S. Sudakoff. (2019). Sonographic Appearances of Portal Vein Abnormalities. Ultrasound Quarterly. 35(4). 316–324. 2 indexed citations
7.
O’Connor, Stacy D., Naveen Kulkarni, Michael O. Griffin, et al.. (2019). Structured Reporting in Ultrasound. Ultrasound Quarterly. 36(1). 1–5. 9 indexed citations
8.
McGarry, Sean D., John D. Bukowy, Kenneth A. Iczkowski, et al.. (2019). Gleason Probability Maps: A Radiomics Tool for Mapping Prostate Cancer Likelihood in MRI Space. Tomography. 5(1). 127–134. 41 indexed citations
9.
Griffin, Michael O., Naveen Kulkarni, Stacy D. O’Connor, et al.. (2019). Magnetic Resonance-Guided Focused Ultrasound. Ultrasound Quarterly. 35(4). 346–354. 9 indexed citations
10.
Chatzizacharias, N., Susan Tsai, Michael O. Griffin, et al.. (2018). Locally advanced pancreas cancer: Staging and goals of therapy. Surgery. 163(5). 1053–1062. 27 indexed citations
11.
Chávez, Mariana, Susan Tsai, Callisia N. Clarke, et al.. (2018). Distal splenorenal and mesocaval shunting at the time of pancreatectomy. Surgery. 165(2). 298–306. 13 indexed citations
12.
Tsai, Susan, Ben George, Paul S. Ritch, et al.. (2018). Importance of Normalization of CA19-9 Levels Following Neoadjuvant Therapy in Patients With Localized Pancreatic Cancer. Annals of Surgery. 271(4). 740–747. 133 indexed citations
13.
Aldakkak, Mohammed, Naveen M. Kulkarni, Stacy D. O’Connor, et al.. (2017). Characterizing indeterminate liver lesions in patients with localized pancreatic cancer at the time of diagnosis. Abdominal Radiology. 43(2). 351–363. 9 indexed citations
14.
Griffin, Michael O., Guillermo Ceballos, & Francisco Villarreal. (2010). Tetracycline compounds with non-antimicrobial organ protective properties: Possible mechanisms of action. Pharmacological Research. 63(2). 102–107. 144 indexed citations
15.
Griffin, Michael O., Eduardo Fricovsky, Guillermo Ceballos, & Francisco Villarreal. (2010). Tetracyclines: a pleitropic family of compounds with promising therapeutic properties. Review of the literature. American Journal of Physiology-Cell Physiology. 299(3). C539–C548. 318 indexed citations
16.
Romero‐Perez, Diego, et al.. (2008). Cardiac Uptake of Minocycline and Mechanisms for In Vivo Cardioprotection. Journal of the American College of Cardiology. 52(13). 1086–1094. 56 indexed citations
17.
Hacker, Timothy A., et al.. (2007). Platelet-derived growth factor receptor antagonist STI571 (imatinib mesylate) inhibits human vascular smooth muscle proliferation and migration in vitro but not in vivo.. PubMed. 19(6). 269–74. 12 indexed citations
18.
Griffin, Michael O., et al.. (2005). Reduction of myocardial infarct size by doxycycline: A role for plasmin inhibition. Molecular and Cellular Biochemistry. 270(1-2). 1–11. 40 indexed citations
19.
Puerta, D.T., Michael O. Griffin, Jana A. Lewis, et al.. (2005). Heterocyclic zinc-binding groups for use in next-generation matrix metalloproteinase inhibitors: potency, toxicity, and reactivity. JBIC Journal of Biological Inorganic Chemistry. 11(2). 131–138. 72 indexed citations
20.
Villarreal, Francisco, Michael O. Griffin, Jeffrey H. Omens, et al.. (2003). Early Short-Term Treatment With Doxycycline Modulates Postinfarction Left Ventricular Remodeling. Circulation. 108(12). 1487–1492. 113 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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