Jamie Marko

2.5k total citations · 1 hit paper
44 papers, 1.5k citations indexed

About

Jamie Marko is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jamie Marko has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 14 papers in Surgery and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jamie Marko's work include Prostate Cancer Diagnosis and Treatment (10 papers), Sexual Differentiation and Disorders (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Jamie Marko is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (10 papers), Sexual Differentiation and Disorders (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Jamie Marko collaborates with scholars based in United States, Singapore and United Kingdom. Jamie Marko's co-authors include Peter A. Pinto, Peter L. Choyke, Barış Türkbey, Joanna H. Shih, Maria J. Merino, Darcy J. Wolfman, Bradford J. Wood, Arvin K. George, Sandeep Sankineni and Yan Mee Law and has published in prestigious journals such as Hepatology, The Journal of Clinical Endocrinology & Metabolism and Radiology.

In The Last Decade

Jamie Marko

41 papers receiving 1.5k citations

Hit Papers

Prostate Cancer: Interobserver Agreement and Accuracy wit... 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jamie Marko United States 18 992 554 369 305 149 44 1.5k
David D. Casalino United States 17 808 0.8× 504 0.9× 147 0.4× 254 0.8× 245 1.6× 45 1.4k
Raphaële Renard‐Penna France 28 1.7k 1.7× 602 1.1× 589 1.6× 600 2.0× 218 1.5× 92 2.4k
Yoshinobu Komai Japan 18 997 1.0× 277 0.5× 164 0.4× 662 2.2× 390 2.6× 93 1.6k
Noboru Numao Japan 22 824 0.8× 289 0.5× 229 0.6× 549 1.8× 90 0.6× 133 1.5k
Gennaro Musi Italy 21 1.0k 1.0× 219 0.4× 320 0.9× 491 1.6× 260 1.7× 139 1.6k
Olivier Chevallier France 23 360 0.4× 339 0.6× 58 0.2× 434 1.4× 84 0.6× 96 1.3k
Jean‐Baptiste Beauval France 21 1.3k 1.3× 184 0.3× 365 1.0× 468 1.5× 219 1.5× 139 1.6k
Kunihiko Fukuda Japan 23 275 0.3× 709 1.3× 287 0.8× 389 1.3× 139 0.9× 98 1.6k
L E Quint United States 15 1.1k 1.1× 712 1.3× 201 0.5× 498 1.6× 30 0.2× 18 1.7k
Enrique Trilla Spain 16 1.0k 1.0× 146 0.3× 165 0.4× 197 0.6× 184 1.2× 146 1.4k

Countries citing papers authored by Jamie Marko

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Marko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Marko

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Marko. A scholar is included among the top collaborators of Jamie Marko 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 Jamie Marko. Jamie Marko 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
2.
Harmon, Stephanie A., Jesse Tetreault, Enis C. Yılmaz, et al.. (2024). Automated Detection and Grading of Extraprostatic Extension of Prostate Cancer at MRI via Cascaded Deep Learning and Random Forest Classification. Academic Radiology. 31(10). 4096–4106. 11 indexed citations
4.
Yang, Alexander H., Christa S. Zerbe, Suk See De Ravin, et al.. (2023). Gastrointestinal and Hepatic Manifestations of Chronic Granulomatous Disease. The Journal of Allergy and Clinical Immunology In Practice. 11(5). 1401–1416. 5 indexed citations
5.
Belue, Mason J., Yan Mee Law, Jamie Marko, et al.. (2023). Deep Learning-Based Interpretable AI for Prostate T2W MRI Quality Evaluation. Academic Radiology. 31(4). 1429–1437. 9 indexed citations
6.
Quinn, Kaitlin A., Mark A. Ahlman, Michael P. LaValley, et al.. (2022). Association of 18F‐Fluorodeoxyglucose–Positron Emission Tomography Activity With Angiographic Progression of Disease in Large Vessel Vasculitis. Arthritis & Rheumatology. 75(1). 98–107. 30 indexed citations
7.
Marko, Jamie, et al.. (2021). Chromophobe Renal Cell Carcinoma with Radiologic-Pathologic Correlation. Radiographics. 41(5). 1408–1419. 17 indexed citations
8.
Santos, Cristiane N., Christopher Koh, Keith Sacco, et al.. (2021). Nodular regenerative hyperplasia in X-linked agammaglobulinemia: An underestimated and severe complication. Journal of Allergy and Clinical Immunology. 149(1). 400–409.e3. 11 indexed citations
9.
Yakov, Gil Ben, Min Cho, Nirali N. Shah, et al.. (2020). Cryptosporidium infection in dedicator of cytokinesis 8 (DOCK 8) deficiency. The Journal of Allergy and Clinical Immunology In Practice. 8(10). 3663–3666.e1. 6 indexed citations
10.
Marko, Jamie, et al.. (2020). Neck masses due to internal jugular vein phlebectasia: Frequency in Menkes disease and literature review of 85 pediatric subjects. American Journal of Medical Genetics Part A. 182(6). 1364–1377. 1 indexed citations
11.
Marko, Jamie, Deborah Tamura, Sikandar G. Khan, et al.. (2020). Thyroid nodules in xeroderma pigmentosum patients: a feature of premature aging. Journal of Endocrinological Investigation. 44(7). 1475–1482. 9 indexed citations
12.
Michailidou, Despina, Joel S. Rosenblum, Casey A. Rimland, et al.. (2019). Clinical symptoms and associated vascular imaging findings in Takayasu's arteritis compared to giant cell arteritis. Annals of the Rheumatic Diseases. 79(2). 262–267. 29 indexed citations
13.
Marko, Jamie, et al.. (2019). Mucinous Neoplasms of the Ovary: Radiologic-Pathologic Correlation. Radiographics. 39(4). 982–997. 50 indexed citations
14.
Greer, Matthew D., Nathan Lay, Joanna H. Shih, et al.. (2018). Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study. European Radiology. 28(10). 4407–4417. 73 indexed citations
15.
Quinn, Kaitlin A., Mark A. Ahlman, Ashkan A. Malayeri, et al.. (2018). Comparison of magnetic resonance angiography and 18F-fluorodeoxyglucose positron emission tomography in large-vessel vasculitis. Annals of the Rheumatic Diseases. 77(8). 1165–1171. 99 indexed citations
16.
Greer, Matthew D., Joanna H. Shih, Nathan Lay, et al.. (2017). Validation of the Dominant Sequence Paradigm and Role of Dynamic Contrast-enhanced Imaging in PI-RADS Version 2. Radiology. 285(3). 859–869. 123 indexed citations
17.
Wolfman, Darcy J., et al.. (2015). Mesenchymal Extratesticular Tumors and Tumorlike Conditions:From the Radiologic Pathology Archives. Radiographics. 35(7). 1943–1954. 22 indexed citations
18.
Chetlen, Alison, Mishal Mendiratta‐Lala, Linda Probyn, et al.. (2015). Conventional Medical Education and the History of Simulation in Radiology. Academic Radiology. 22(10). 1252–1267. 45 indexed citations
19.
Marko, Jamie, et al.. (2014). Drug prescription pattern of outpatients in a tertiary care teaching hospital in central india. International Journal of Bioassays. 3(12). 3566–3568. 3 indexed citations
20.
Lattin, Grant E., et al.. (2014). From the Radiologic Pathology Archives: Adrenal Tumors and Tumor-like Conditions in the Adult: Radiologic-Pathologic Correlation. Radiographics. 34(3). 805–829. 86 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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