Deborah Katten

1.2k total citations
42 papers, 798 citations indexed

About

Deborah Katten is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Deborah Katten has authored 42 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Cardiology and Cardiovascular Medicine and 9 papers in Biomedical Engineering. Recurrent topics in Deborah Katten's work include Cardiac Imaging and Diagnostics (30 papers), Advanced MRI Techniques and Applications (21 papers) and Medical Imaging Techniques and Applications (11 papers). Deborah Katten is often cited by papers focused on Cardiac Imaging and Diagnostics (30 papers), Advanced MRI Techniques and Applications (21 papers) and Medical Imaging Techniques and Applications (11 papers). Deborah Katten collaborates with scholars based in United States, Russia and Greece. Deborah Katten's co-authors include Gary V. Heller, Alan W. Ahlberg, S. James Cullom, Timothy M. Bateman, Janice A. Davey, Deborah Chyun, Neil Grey, Frans J.Th. Wackers, Gail D’Eramo Melkus and Lynne L. Johnson and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy.

In The Last Decade

Deborah Katten

39 papers receiving 778 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah Katten United States 15 608 313 183 68 58 42 798
Michael Shen United States 8 398 0.7× 221 0.7× 123 0.7× 111 1.6× 45 0.8× 20 602
Gary Heller United States 6 221 0.4× 315 1.0× 55 0.3× 78 1.1× 39 0.7× 17 535
Barbara Naegeli Switzerland 16 166 0.3× 643 2.1× 94 0.5× 250 3.7× 43 0.7× 42 812
Daria Frestad Denmark 12 305 0.5× 401 1.3× 24 0.1× 154 2.3× 32 0.6× 19 568
John J. Mahmarian United States 13 863 1.4× 623 2.0× 205 1.1× 266 3.9× 7 0.1× 13 1.1k
Azhar Supariwala United States 13 292 0.5× 474 1.5× 50 0.3× 178 2.6× 19 0.3× 33 638
Daniel Mulvihill United States 5 448 0.7× 613 2.0× 68 0.4× 143 2.1× 11 0.2× 7 755
Julien Adjedj France 17 715 1.2× 656 2.1× 71 0.4× 668 9.8× 17 0.3× 57 975
A. Kerr New Zealand 12 119 0.2× 251 0.8× 31 0.2× 203 3.0× 28 0.5× 33 454
Massimo Mapelli Italy 14 89 0.1× 353 1.1× 76 0.4× 96 1.4× 16 0.3× 80 599

Countries citing papers authored by Deborah Katten

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Katten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Katten

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Katten. A scholar is included among the top collaborators of Deborah Katten 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 Deborah Katten. Deborah Katten 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.
Bhavnani, Sanjeev P., et al.. (2017). Coronary risk equivalence of diabetes assessed by SPECT-MPI. Journal of Nuclear Cardiology. 26(4). 1093–1102. 9 indexed citations
2.
Rai, Mridula, et al.. (2014). MULTIYEAR- MULTICENTER REVIEW OF TRENDS IN THE FREQUENCY OF ABNORMAL MPI RESULTS. Journal of the American College of Cardiology. 63(12). A1217–A1217. 1 indexed citations
3.
Padala, Santosh K., Abhijit Ghatak, Sandeep Padala, et al.. (2014). Cardiovascular risk stratification in diabetic patients following stress single-photon emission-computed tomography myocardial perfusion imaging: The impact of achieved exercise level. Journal of Nuclear Cardiology. 21(6). 1132–1143. 14 indexed citations
5.
Ahlberg, Alan W., et al.. (2013). Risk stratification using line source attenuation correction with rest/stress Tc-99m sestamibi SPECT myocardial perfusion imaging. Journal of Nuclear Cardiology. 21(1). 118–126. 5 indexed citations
6.
Heller, Gary V., et al.. (2012). Clinical value of stress-only Tc-99m SPECT imaging: Importance of attenuation correction. Journal of Nuclear Cardiology. 20(1). 27–37. 37 indexed citations
8.
Rai, Mridula, Purvi Parwani, Alan W. Ahlberg, et al.. (2011). Electrocardiographic changes during vasodilator SPECT myocardial perfusion imaging: Does it affect diagnosis or prognosis?. Journal of Nuclear Cardiology. 19(1). 84–91. 8 indexed citations
11.
Ahlberg, Alan W., et al.. (2010). Duration and type of therapy for diabetes: Impact on cardiac risk stratification with stress electrocardiographic-gated SPECT myocardial perfusion imaging. Journal of Nuclear Cardiology. 17(6). 1041–1049. 12 indexed citations
12.
13.
Ahlberg, Alan W., S. James Cullom, Timothy M. Bateman, et al.. (2009). Validation of attenuation correction using transmission truncation compensation with a small field of view dedicated cardiac SPECT camera system. Journal of Nuclear Cardiology. 16(2). 222–232. 5 indexed citations
15.
Ahlberg, Alan W., et al.. (2004). 816-3 Interaction of age and gender on risk stratification of diabetic patients with rest/stress ECG-gated Tc-99m sestamibi SPECT imaging. Journal of the American College of Cardiology. 43(5). A339–A339. 2 indexed citations
16.
Ahlberg, Alan W., et al.. (2004). 816-2 Risk stratification of diabetic patients with rest/stress ECG-gated Tc-99m sestamibi SPECT imaging: Significance of mild perfusion abnormalities. Journal of the American College of Cardiology. 43(5). A339–A339. 1 indexed citations
17.
Hussain, Syed A., Deborah Katten, Alan W. Ahlberg, et al.. (2004). 816-5 Progression of coronary artery disease in diabetics demonstrated by single isotope rest/stress Tc-99m sestamibi myocardial perfusion imaging: More rapid than nondiabetics?. Journal of the American College of Cardiology. 43(5). A340–A340. 2 indexed citations
18.
Travin, Mark I., Gary V. Heller, Lynne L. Johnson, et al.. (2004). The prognostic value of ECG-gated SPECT imaging in patients undergoing stress Tc-99m sestamibi myocardial perfusion imaging. Journal of Nuclear Cardiology. 11(3). 253–262. 75 indexed citations
19.
Moyna, Niall M., Gary V. Heller, Carol C. McGill, et al.. (2003). A 24‐Hour Comparison of Serum Growth Hormone Concentrations in Patients with Heart Failure versus Healthy Controls. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 23(2). 147–152. 4 indexed citations
20.
White, C Michael, et al.. (2000). Effect of Intravenous Metoprolol or Intravenous Metoprolol plus Glucagon on Dobutamine‐Induced Myocardial Ischemia. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 20(11). 1303–1309. 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.

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