Parthiban Arumugam

1.3k total citations
73 papers, 775 citations indexed

About

Parthiban Arumugam is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Parthiban Arumugam has authored 73 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Cardiology and Cardiovascular Medicine and 14 papers in Biomedical Engineering. Recurrent topics in Parthiban Arumugam's work include Cardiac Imaging and Diagnostics (38 papers), Medical Imaging Techniques and Applications (21 papers) and Advanced MRI Techniques and Applications (18 papers). Parthiban Arumugam is often cited by papers focused on Cardiac Imaging and Diagnostics (38 papers), Medical Imaging Techniques and Applications (21 papers) and Advanced MRI Techniques and Applications (18 papers). Parthiban Arumugam collaborates with scholars based in United Kingdom, India and Italy. Parthiban Arumugam's co-authors include Christine M. Tonge, Ian S. Armstrong, K. Senthamarai Kannan, Roberta Assante, Emilia Zampella, Wanda Acampa, Alberto Cuocolo, Mario Petretta, Valeria Gaudieri and Carmela Nappi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Heart and Journal of Nuclear Medicine.

In The Last Decade

Parthiban Arumugam

64 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Parthiban Arumugam United Kingdom 16 499 209 173 124 82 73 775
Rod Hose United Kingdom 12 97 0.2× 193 0.9× 86 0.5× 99 0.8× 41 0.5× 24 599
Vicent Ribas Spain 15 145 0.3× 178 0.9× 144 0.8× 134 1.1× 217 2.6× 38 673
Toktam Khatibi Iran 14 73 0.1× 49 0.2× 38 0.2× 41 0.3× 65 0.8× 41 474
Iván Contreras Spain 14 38 0.1× 87 0.4× 54 0.3× 135 1.1× 19 0.2× 46 875
Fanis Kalatzis Greece 12 144 0.3× 187 0.9× 44 0.3× 269 2.2× 9 0.1× 26 489
Ahmed Salih United Kingdom 11 100 0.2× 93 0.4× 51 0.3× 35 0.3× 35 0.4× 41 567
A. Benassi Italy 10 223 0.4× 305 1.5× 113 0.7× 115 0.9× 24 0.3× 49 516
Wouter P. Donders Netherlands 7 56 0.1× 224 1.1× 110 0.6× 123 1.0× 29 0.4× 8 421
Yeha Lee South Korea 14 150 0.3× 299 1.4× 66 0.4× 85 0.7× 190 2.3× 40 868
Makoto Abe Japan 14 103 0.2× 159 0.8× 80 0.5× 168 1.4× 27 0.3× 75 593

Countries citing papers authored by Parthiban Arumugam

Since Specialization
Citations

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

Fields of papers citing papers by Parthiban Arumugam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parthiban Arumugam

This figure shows the co-authorship network connecting the top 25 collaborators of Parthiban Arumugam. A scholar is included among the top collaborators of Parthiban Arumugam 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 Parthiban Arumugam. Parthiban Arumugam 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.
Abuzaid, Ahmed, Stephen Horgan, Krishna Patel, et al.. (2025). Role of rubidium-82 positron emission tomography in a multimodality approach to diagnosing coronary microvascular dysfunction in apical hypertrophic cardiomyopathy. Journal of Nuclear Cardiology. 52. 102197–102197.
2.
Renaud, Jennifer M., Mouaz H. Al‐Mallah, Prem Soman, et al.. (2024). How to differentiate obstructive from non-obstructive CAD with PET: Developments in high-resolution regional quantification of MBF and MFR. Journal of Nuclear Cardiology. 41. 102023–102023.
3.
Assante, Roberta, Emilia Zampella, Adriana D’Antonio, et al.. (2024). Impact on cardiovascular outcome of coronary revascularization-induced changes in ischemic perfusion defect and myocardial flow reserve. European Journal of Nuclear Medicine and Molecular Imaging. 51(6). 1612–1621. 1 indexed citations
4.
Zampella, Emilia, Roberta Assante, Adriana D’Antonio, et al.. (2024). Prognostic Value of Coronary Flow Capacity by 82 Rb PET in Patients With Suspected Coronary Artery Disease and Normal Myocardial Perfusion at Semiquantitative Imaging Analysis. Circulation Cardiovascular Imaging. 17(11). e016815–e016815. 2 indexed citations
5.
Wechalekar, Kshama, David F. Hutt, Carol Whelan, et al.. (2024). Recommendations for good clinical practice for DPD bone scintigraphy for cardiac amyloidosis. Nuclear Medicine Communications. 45(4). 253–262.
6.
Watkins, Amy, Maélène Lohézic, David Clark, et al.. (2023). Inflammatory Fabry Cardiomyopathy Demonstrated Using Simultaneous [18F]-FDG PET-CMR. JACC Case Reports. 15. 101863–101863. 1 indexed citations
7.
Zampella, Emilia, Teresa Mannarino, Adriana D’Antonio, et al.. (2022). Prediction of outcome by 82Rb PET/CT in patients with ischemia and nonobstructive coronary arteries. Journal of Nuclear Cardiology. 30(3). 1110–1117. 13 indexed citations
8.
Megna, Rosario, Mario Petretta, Roberta Assante, et al.. (2021). A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging. Computational and Mathematical Methods in Medicine. 2021. 1–9. 11 indexed citations
9.
Raja, J., et al.. (2021). Revealing Household Electricity Power Consumption Using Data Mining Algorithms. 7(3). 350–354. 1 indexed citations
10.
Arumugam, Parthiban, et al.. (2020). Teaching and learning chemistry using smartphones. 4(1). 2 indexed citations
11.
12.
Megna, Rosario, Carmela Nappi, Valeria Gaudieri, et al.. (2020). Diagnostic value of clinical risk scores for predicting normal stress myocardial perfusion imaging in subjects without coronary artery calcium. Journal of Nuclear Cardiology. 29(1). 323–333. 4 indexed citations
13.
Tonge, Christine M., et al.. (2017). Impact of pharmacological stress agent on patient motion during rubidium-82 myocardial perfusion PET/CT. Journal of Nuclear Cardiology. 25(4). 1286–1295. 17 indexed citations
14.
Asghar, Omar, Parthiban Arumugam, Ian S. Armstrong, et al.. (2016). Iodine-123 metaiodobenzylguanidine scintigraphy for the assessment of cardiac sympathetic innervation and the relationship with cardiac autonomic function in healthy adults using standardized methods. Nuclear Medicine Communications. 38(1). 44–50. 17 indexed citations
15.
Arumugam, Parthiban & P. Subha Hency Jose. (2015). Recent advances on kernel fuzzy support vector machine model for supervised learning. 13. 1–5. 1 indexed citations
16.
Ahmed, Fozia, et al.. (2015). Radionuclide Imaging of Cardiovascular Infection. Cardiology Clinics. 34(1). 149–165. 9 indexed citations
17.
Miller, Chris, Josephine H. Naish, Christine M. Tonge, et al.. (2014). Voxel-wise quantification of myocardial blood flow with cardiovascular magnetic resonance: effect of variations in methodology and validation with positron emission tomography. Journal of Cardiovascular Magnetic Resonance. 16(1). 11–11. 31 indexed citations
18.
Hurley, Caroline, et al.. (2014). Comparison of occupational radiation exposure from myocardial perfusion imaging with Rb-82 PET and Tc-99m SPECT. Nuclear Medicine Communications. 35(10). 1032–1037. 4 indexed citations
19.
Armstrong, Ian S., et al.. (2011). Reduced-count myocardial perfusion SPECT with resolution recovery. Nuclear Medicine Communications. 33(2). 121–129. 15 indexed citations
20.
Arumugam, Parthiban, et al.. (2010). Incidental detection of apical hypertrophic cardiomyopathy by myocardial perfusion imaging. Nuclear Medicine Communications. 31(4). 286–293. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rod Hose Breakdown of academic impact, for papers by Vicent Ribas Breakdown of academic impact, for papers by Toktam Khatibi Breakdown of academic impact, for papers by Iván Contreras Breakdown of academic impact, for papers by Fanis Kalatzis Breakdown of academic impact, for papers by Ahmed Salih Breakdown of academic impact, for papers by A. Benassi Breakdown of academic impact, for papers by Wouter P. Donders Breakdown of academic impact, for papers by Yeha Lee Breakdown of academic impact, for papers by Makoto Abe
Rankless by CCL
2026