João R. Inácio

945 total citations
46 papers, 571 citations indexed

About

João R. Inácio is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, João R. Inácio has authored 46 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Cardiology and Cardiovascular Medicine and 16 papers in Surgery. Recurrent topics in João R. Inácio's work include Cardiac Imaging and Diagnostics (18 papers), Cardiovascular Function and Risk Factors (9 papers) and Advanced X-ray and CT Imaging (5 papers). João R. Inácio is often cited by papers focused on Cardiac Imaging and Diagnostics (18 papers), Cardiovascular Function and Risk Factors (9 papers) and Advanced X-ray and CT Imaging (5 papers). João R. Inácio collaborates with scholars based in Canada, Portugal and Australia. João R. Inácio's co-authors include Ashish Gupta, Carolina A. Souza, Rebecca Hibbert, Matthew D. F. McInnes, Nicola Schieda, Benjamin J.W. Chow, Girish Dwivedi, Elena Peña, Carole Dennie and Luck J. Louis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and Materials Today.

In The Last Decade

João R. Inácio

43 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
João R. Inácio Canada 15 213 183 170 121 79 46 571
R. Hoffmann Germany 12 167 0.8× 169 0.9× 214 1.3× 236 2.0× 75 0.9× 34 599
Gad Abikhzer Canada 13 191 0.9× 185 1.0× 127 0.7× 65 0.5× 113 1.4× 56 495
Markus Herbert Lerchbaumer Germany 12 143 0.7× 143 0.8× 105 0.6× 64 0.5× 69 0.9× 65 458
F.G. van den Berg Netherlands 12 407 1.9× 60 0.3× 235 1.4× 242 2.0× 62 0.8× 19 578
Ezio Lanza Italy 15 210 1.0× 145 0.8× 247 1.5× 24 0.2× 136 1.7× 51 721
Con Manganas Australia 14 463 2.2× 93 0.5× 357 2.1× 316 2.6× 142 1.8× 34 840
David M. Sella United States 12 225 1.1× 74 0.4× 151 0.9× 36 0.3× 78 1.0× 38 474
Cesare Mantini Italy 16 165 0.8× 195 1.1× 171 1.0× 228 1.9× 93 1.2× 66 628
Sum Leong Singapore 11 182 0.9× 74 0.4× 190 1.1× 27 0.2× 37 0.5× 34 408
Cormac Farrelly United States 13 134 0.6× 117 0.6× 189 1.1× 75 0.6× 37 0.5× 30 399

Countries citing papers authored by João R. Inácio

Since Specialization
Citations

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

Fields of papers citing papers by João R. Inácio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João R. Inácio. 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 João R. Inácio. The network helps show where João R. Inácio may publish in the future.

Co-authorship network of co-authors of João R. Inácio

This figure shows the co-authorship network connecting the top 25 collaborators of João R. Inácio. A scholar is included among the top collaborators of João R. Inácio 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 João R. Inácio. João R. Inácio 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.
Silva, Rafael Resende Assis, Eduardo Henrique Backes, João R. Inácio, et al.. (2025). Stimuli-responsive gyroid Scaffolds: hierarchical architecture and electric stimulation promote bone regeneration. Materials Today. 88. 186–200.
2.
Lousada, Nuno, et al.. (2024). Multidimensional CT approach to predict hemodynamics in pulmonary hypertension. Clinical Radiology. 79(12). 921–930.
3.
Dawson, Kristin, Elena Peña, João R. Inácio, et al.. (2024). Screening tools for the detection of clinically silent cardiac sarcoidosis. Respiratory Medicine. 224. 107538–107538. 3 indexed citations
7.
Inácio, João R., Terrence D. Ruddy, Robert A. deKemp, et al.. (2022). Static CT myocardial perfusion imaging: image quality, artifacts including distribution and diagnostic performance compared to 82Rb PET. SHILAP Revista de lepidopterología. 6(1). 1–1. 2 indexed citations
8.
Inácio, João R., Alomgir Hossain, Gary R. Small, et al.. (2020). Determining Early Remodeling Patterns in Diabetes and Hypertension Using Cardiac Computed Tomography: The Feasibility of Assessing Early LV Geometric Changes. American Journal of Hypertension. 33(6). 496–504. 1 indexed citations
9.
Inácio, João R., et al.. (2020). Quantified coronary plaque characteristics between Caucasian and Morise score-matched South Asian populations. International journal of cardiac imaging. 36(12). 2347–2355. 1 indexed citations
10.
Juneau, Daniel, et al.. (2019). Left Ventricular Mid-Diastolic Wall Thickness: Normal Values for Coronary CT Angiography. Radiology Cardiothoracic Imaging. 1(5). e190034–e190034. 16 indexed citations
11.
Inácio, João R., Alomgir Hossain, Judy Shiau, et al.. (2019). Early LV remodelling patterns in overweight and obesity: Feasibility of cardiac CT to detect early geometric left ventricular changes. Obesity Research & Clinical Practice. 13(5). 478–485. 2 indexed citations
12.
Almufleh, Aws, Elena Peña, João R. Inácio, et al.. (2019). Reference values for mid-diastolic right ventricular volume in population referred for cardiac computed tomography: An additional diagnostic value to cardiac computed tomography. Journal of cardiovascular computed tomography. 14(3). 226–232. 2 indexed citations
13.
Souza, Carolina A., et al.. (2019). Imaging-guided Percutaneous Biopsy of Nodules ≤1 cm. Journal of Thoracic Imaging. 35(2). 123–128. 22 indexed citations
14.
White, Richard D., Michael A. Bolen, Juan Batlle, et al.. (2018). ACR Appropriateness Criteria® Suspected New-Onset and Known Nonacute Heart Failure. Journal of the American College of Radiology. 15(11). S418–S431. 6 indexed citations
15.
Phillips, William J., Christopher Johnson, Angeline Law, et al.. (2018). Reporting of coronary artery calcification on chest CT studies in breast cancer patients at high risk of cancer therapy related cardiac events. IJC Heart & Vasculature. 18. 12–16. 21 indexed citations
16.
Peña, Elena, Fraser D. Rubens, Ian G. Stiell, et al.. (2016). Efficiency and safety of coronary CT angiography compared to standard care in the evaluation of patients with acute chest pain: a Canadian study. Emergency Radiology. 23(4). 345–352. 4 indexed citations
17.
McInnes, Matthew D. F., Rebecca Hibbert, João R. Inácio, & Nicola Schieda. (2015). Focal Nodular Hyperplasia and Hepatocellular Adenoma: Accuracy of Gadoxetic Acid–enhanced MR Imaging—A Systematic Review. Radiology. 277(2). 413–423. 79 indexed citations
18.
Souza, Carolina A., et al.. (2015). Fat embolism syndrome: Do the CT findings correlate with clinical course and severity of symptoms? A clinical-radiological study. European Journal of Radiology. 85(2). 422–427. 14 indexed citations
20.
Inácio, João R., et al.. (1995). Computerized evaluation of the peripheral blood flow during maximal vasodilatation in humans using venous occlusion plethysmography. Clinical Physiology. 15(2). 131–141. 4 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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