Michael Klimas

1.6k total citations · 1 hit paper
25 papers, 924 citations indexed

About

Michael Klimas is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Michael Klimas has authored 25 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Oncology. Recurrent topics in Michael Klimas's work include Cardiac Imaging and Diagnostics (6 papers), Medical Imaging Techniques and Applications (5 papers) and Advanced MRI Techniques and Applications (5 papers). Michael Klimas is often cited by papers focused on Cardiac Imaging and Diagnostics (6 papers), Medical Imaging Techniques and Applications (5 papers) and Advanced MRI Techniques and Applications (5 papers). Michael Klimas collaborates with scholars based in United States, Netherlands and Sweden. Michael Klimas's co-authors include Stuart L. Schreiber, Tarek Sammakia, Zahi A. Fayad, Hayes M. Dansky, James H.F. Rudd, Michael E. Farkouh, Chan Beals, Sharath Subramanian, Irene Nunes and Amr Abdelbaky and has published in prestigious journals such as Journal of the American Chemical Society, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Michael Klimas

24 papers receiving 909 citations

Hit Papers

Intensification of Statin Therapy Results in a Rapid Redu... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Klimas United States 15 318 230 179 173 158 25 924
Matthias Bauwens Netherlands 21 379 1.2× 143 0.6× 142 0.8× 75 0.4× 74 0.5× 67 1.1k
Aiko Yamaguchi Japan 21 385 1.2× 189 0.8× 166 0.9× 121 0.7× 120 0.8× 62 1.4k
Brian K. Rivera United States 23 226 0.7× 369 1.6× 102 0.6× 272 1.6× 79 0.5× 52 1.5k
Lionel Nicol France 22 166 0.5× 235 1.0× 323 1.8× 317 1.8× 122 0.8× 53 1.3k
Javier Gómez United States 18 75 0.2× 373 1.6× 180 1.0× 100 0.6× 116 0.7× 51 1.0k
Qing Feng China 19 161 0.5× 418 1.8× 85 0.5× 280 1.6× 45 0.3× 42 1.1k
Ajay Bhargava United States 19 94 0.3× 170 0.7× 97 0.5× 104 0.6× 61 0.4× 47 1.1k
Yong Meng China 11 207 0.7× 131 0.6× 115 0.6× 133 0.8× 90 0.6× 38 1.0k
Klaus Nebendahl Germany 22 302 0.9× 105 0.5× 491 2.7× 333 1.9× 83 0.5× 61 1.3k
Tomoaki Ohtsuka Japan 19 154 0.5× 158 0.7× 628 3.5× 144 0.8× 41 0.3× 75 1.0k

Countries citing papers authored by Michael Klimas

Since Specialization
Citations

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

Fields of papers citing papers by Michael Klimas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Klimas

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Klimas. A scholar is included among the top collaborators of Michael Klimas 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 Klimas. Michael Klimas 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.
Jordan, Veronica Clavijo, Catherine D. G. Hines, Liza Gantert, et al.. (2021). Imaging Beta-Cell Function in the Pancreas of Non-Human Primates Using a Zinc-Sensitive MRI Contrast Agent. Frontiers in Endocrinology. 12. 641722–641722. 6 indexed citations
2.
Rubins, Daniel, Xiangjun Meng, Paul McQuade, et al.. (2020). In Vivo Evaluation and Dosimetry Estimate for a High Affinity Affibody PET Tracer Targeting PD-L1. Molecular Imaging and Biology. 23(2). 241–249. 27 indexed citations
3.
Li, Wenping, Yuchuan Wang, Daniel Rubins, et al.. (2020). PET/CT Imaging of 89Zr-N-sucDf-Pembrolizumab in Healthy Cynomolgus Monkeys. Molecular Imaging and Biology. 23(2). 250–259. 19 indexed citations
4.
Trotter, D. E. González, Xiangjun Meng, Paul McQuade, et al.. (2017). In Vivo Imaging of the Programmed Death Ligand 1 by 18F PET. Journal of Nuclear Medicine. 58(11). 1852–1857. 87 indexed citations
5.
Farrar, Christian T., Eric M. Gale, Richard P. Kennan, et al.. (2017). CM-101: Type I Collagen–targeted MR Imaging Probe for Detection of Liver Fibrosis. Radiology. 287(2). 581–589. 50 indexed citations
6.
McQuade, Paul, Daniel Rubins, Xiangjun Meng, et al.. (2016). Investigation into Use of Positron Emission Tomography (PET) as an In Vivo Imaging Tool to Quantify PD-L1 Tumor Expression Levels. 57. 529–529. 1 indexed citations
8.
Gheysens, Olivier, Andrey Postnov, Christophe M. Deroose, et al.. (2015). Quantification, Variability, and Reproducibility of Basal Skeletal Muscle Glucose Uptake in Healthy Humans Using 18F-FDG PET/CT. Journal of Nuclear Medicine. 56(10). 1520–1526. 14 indexed citations
9.
Patel, Manishkumar, Stacey O’Malley, Brett Connolly, et al.. (2014). Non-Invasive Bioluminescence Imaging of β-Cell Function in Obese-Hyperglycemic [ob/ob] Mice. PLoS ONE. 9(9). e106693–e106693. 13 indexed citations
10.
Liu, Haiying, Dan Zhou, Martin Köhler, et al.. (2014). Characteristic time courses of cortical and medullary sodium signals measured by noninvasive 23Na‐MRI in rat kidney induced by furosemide. Journal of Magnetic Resonance Imaging. 41(6). 1622–1628. 3 indexed citations
11.
Sun, Jie, Xue-Qiao Zhao, Niranjan Balu, et al.. (2014). Carotid magnetic resonance imaging for monitoring atherosclerotic plaque progression: a multicenter reproducibility study. International journal of cardiac imaging. 31(1). 95–103. 47 indexed citations
12.
Tawakol, Ahmed, Zahi A. Fayad, Robin Mogg, et al.. (2013). Intensification of Statin Therapy Results in a Rapid Reduction in Atherosclerotic Inflammation. Journal of the American College of Cardiology. 62(10). 909–917. 304 indexed citations breakdown →
13.
Duivenvoorden, Raphaël, et al.. (2013). Detection of Liquid Phase Cholesteryl Ester in Carotid Atherosclerosis by 1H-MR Spectroscopy in Humans. JACC. Cardiovascular imaging. 6(12). 1277–1284. 12 indexed citations
14.
Myers, Kelly S., James H.F. Rudd, Eric Hailman, et al.. (2012). Correlation Between Arterial FDG Uptake and Biomarkers in Peripheral Artery Disease. JACC. Cardiovascular imaging. 5(1). 38–45. 43 indexed citations
15.
Borsook, David, Jaymin Upadhyay, Michael Klimas, et al.. (2012). Decision-making using fMRI in clinical drug development: revisiting NK-1 receptor antagonists for pain. Drug Discovery Today. 17(17-18). 964–973. 33 indexed citations
17.
Zhang, Jun, Dorin V. Preda, Kristine Vasquez, et al.. (2012). A fluorogenic near-infrared imaging agent for quantifying plasma and local tissue renin activity in vivo and ex vivo. American Journal of Physiology-Renal Physiology. 303(4). F593–F603. 10 indexed citations
20.
Schreiber, Stuart L., Michael Klimas, & Tarek Sammakia. (1987). Dynamic behavior of dicobalt hexacarbonyl propargyl cations and their reactions with chiral nucleophiles. Journal of the American Chemical Society. 109(19). 5749–5759. 123 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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