Arash Kardan

1.1k total citations
20 papers, 399 citations indexed

About

Arash Kardan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Arash Kardan has authored 20 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Genetics. Recurrent topics in Arash Kardan's work include Radiopharmaceutical Chemistry and Applications (4 papers), Glioma Diagnosis and Treatment (4 papers) and Advanced MRI Techniques and Applications (3 papers). Arash Kardan is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (4 papers), Glioma Diagnosis and Treatment (4 papers) and Advanced MRI Techniques and Applications (3 papers). Arash Kardan collaborates with scholars based in United States, Japan and South Korea. Arash Kardan's co-authors include Alan J. Fischman, Georges El Fakhri, Arkadiusz Sitek, Youmna Lahoud, Sharmila Dorbala, M. G. Coughlan, Marcelo F. Di Carli, Tsunehiro Yasuda, Sanjiv S. Gambhir and Xiaohong Chen and has published in prestigious journals such as Radiology, Journal of Nuclear Medicine and CardioVascular and Interventional Radiology.

In The Last Decade

Arash Kardan

19 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arash Kardan United States 8 276 73 61 57 57 20 399
Shinichiro Fujimoto Japan 7 114 0.4× 60 0.8× 25 0.4× 112 2.0× 119 2.1× 17 353
Chad L. Carr United States 8 145 0.5× 114 1.6× 164 2.7× 79 1.4× 81 1.4× 10 400
Sumeet Virmani United States 12 160 0.6× 19 0.3× 54 0.9× 52 0.9× 80 1.4× 30 441
Lotfi Slimani France 11 71 0.3× 22 0.3× 41 0.7× 48 0.8× 57 1.0× 31 350
Dragan Opačić Germany 8 64 0.2× 113 1.5× 94 1.5× 70 1.2× 55 1.0× 24 375
Zairong Gao China 13 122 0.4× 16 0.2× 51 0.8× 72 1.3× 100 1.8× 32 429
Eo-Jin Kim South Korea 7 102 0.4× 23 0.3× 28 0.5× 78 1.4× 231 4.1× 10 478
Pavan Cheruvu United States 4 160 0.6× 131 1.8× 38 0.6× 215 3.8× 92 1.6× 6 363
Hou-Dong Zuo China 12 81 0.3× 9 0.1× 48 0.8× 112 2.0× 74 1.3× 19 364
Julia Brangsch Germany 12 61 0.2× 24 0.3× 57 0.9× 70 1.2× 157 2.8× 35 326

Countries citing papers authored by Arash Kardan

Since Specialization
Citations

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

Fields of papers citing papers by Arash Kardan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arash Kardan

This figure shows the co-authorship network connecting the top 25 collaborators of Arash Kardan. A scholar is included among the top collaborators of Arash Kardan 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 Arash Kardan. Arash Kardan 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.
Durieux, Jared, et al.. (2022). Using an Assumed Lung Mass Inaccurately Estimates the Lung Absorbed Dose in Patients Undergoing Hepatic 90Yttrium Radioembolization Therapy. CardioVascular and Interventional Radiology. 45(12). 1793–1800. 4 indexed citations
3.
Mohamed, Amr, L. Sylvia, Thomas S. McCormick, et al.. (2022). The Role of the Microbiome in Gastroentero-Pancreatic Neuroendocrine Neoplasms (GEP-NENs). Current Issues in Molecular Biology. 44(5). 2015–2028. 11 indexed citations
4.
Labak, Collin M., Raymond F. Muzic, Arash Kardan, et al.. (2021). Treating Recurrent Brain Metastases Using GammaTile Brachytherapy: A Case Report and Dosimetric Modeling Method. Cureus. 13(11). e19232–e19232. 3 indexed citations
5.
Kardan, Arash, et al.. (2021). Utilization of Gallium-68 Dotatate PET MRI for the Evaluation of Meningioma in a Major Tertiary Academic University Neurosurgical Center. 62. 3000–3000. 1 indexed citations
6.
Kardan, Arash, David Ralph, Michael Rosol, et al.. (2019). A Phase I/Phase II Study of Intravenously (IV) Administered Tc 99m Tilmanocept (TCT) to Determine Safety, Tolerability, Optimal Clinical Dose Selection, and Imaging Timepoint in Patients Clinically Diagnosed with Rheumatoid Arthritis (RA). 60. 89–89. 1 indexed citations
7.
Kardan, Arash, et al.. (2018). Intravenous 99mTc-tilmanocept in Planar and Fused SPECT/CT Imaging of Activated Macrophage Infiltration in Subjects with Active Rheumatoid Arthritis. 59. 110–110. 1 indexed citations
8.
Satter, Martin, et al.. (2016). A novel, integrated PET-guided MRS technique resulting in more accurate initial diagnosis of high-grade glioma. The Neuroradiology Journal. 29(3). 193–197. 7 indexed citations
9.
Kardan, Arash, et al.. (2015). 111In WBC SPECT/CT Detection of a Radiographically Occult Solitary Infected Renal Cyst in Polycystic Kidney Disease. Clinical Nuclear Medicine. 40(6). 542–544. 1 indexed citations
10.
Jacob, Céline, et al.. (2014). 18F-FDG PET/CT Metabolic Variability in Functioning Oncocytic Parathyroid Adenoma With Brown Tumors. Clinical Nuclear Medicine. 39(4). 393–395. 8 indexed citations
11.
Short, Ryan G. & Arash Kardan. (2014). 18F-FDG PET/CT in a 16-Year-Old Patient With Hydranencephaly. Clinical Nuclear Medicine. 39(10). e445–e447. 1 indexed citations
12.
Short, Ryan G., et al.. (2014). Potential of F-18 PET/CT in the Detection of Leptomeningeal Metastasis. The Neuroradiology Journal. 27(6). 685–689. 17 indexed citations
13.
Mittra, Erik, Michael L. Goris, Andrei Iagaru, et al.. (2011). Pilot Pharmacokinetic and Dosimetric Studies of18F-FPPRGD2: A PET Radiopharmaceutical Agent for Imaging αvβ3Integrin Levels. Radiology. 260(1). 182–191. 115 indexed citations
14.
Mittra, Erik, Michael L. Goris, Andrei Iagaru, et al.. (2010). First in man studies of [18F]FPPRGD2: A novel PET radiopharmaceutical for imaging αvβ3 integrin levels. 51. 1433–1433. 3 indexed citations
15.
Fakhri, Georges El, Arash Kardan, Arkadiusz Sitek, et al.. (2009). Reproducibility and Accuracy of Quantitative Myocardial Blood Flow Assessment with 82Rb PET: Comparison with 13N-Ammonia PET. Journal of Nuclear Medicine. 50(7). 1062–1071. 197 indexed citations
16.
Akutsu, Yasushi, Shawn A. Gregory, Arash Kardan, et al.. (2009). Delayed heart rate recovery after adenosine stress testing with supplemental arm exercise predicts mortality. Journal of Nuclear Cardiology. 16(1). 54–62. 1 indexed citations
17.
Gregory, Shawn A., Calum A. MacRae, Kusai Aziz, et al.. (2006). Myocardial blood flow and oxygen consumption in patients with Friedreich's ataxia prior to the onset of cardiomyopathy. Coronary Artery Disease. 18(1). 15–22. 12 indexed citations
18.
Kardan, Arash, et al.. (2006). 2.33. Journal of Nuclear Cardiology. 13(4). S11–S12. 1 indexed citations
19.
Kardan, Arash, et al.. (2006). 2.34. Journal of Nuclear Cardiology. 13(4). S12–S12.
20.
Strauch, Arthur R., et al.. (1996). Morphometric and immunocytochemical analysis of coronary arterioles in human transplanted hearts.. PubMed. 15(8). 818–26. 11 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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