Alan W. Ahlberg

2.1k total citations
59 papers, 1.4k citations indexed

About

Alan W. Ahlberg is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Alan W. Ahlberg has authored 59 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Cardiology and Cardiovascular Medicine and 12 papers in Biomedical Engineering. Recurrent topics in Alan W. Ahlberg's work include Cardiac Imaging and Diagnostics (51 papers), Advanced MRI Techniques and Applications (34 papers) and Medical Imaging Techniques and Applications (14 papers). Alan W. Ahlberg is often cited by papers focused on Cardiac Imaging and Diagnostics (51 papers), Advanced MRI Techniques and Applications (34 papers) and Medical Imaging Techniques and Applications (14 papers). Alan W. Ahlberg collaborates with scholars based in United States, Russia and Canada. Alan W. Ahlberg's co-authors include Gary V. Heller, Deborah Katten, Carol C. McGill, David D. Waters, Steven D. Herman, Timothy M. Bateman, Michael P. White, April Mann, Michael G. Levine and S. James Cullom and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and American Heart Journal.

In The Last Decade

Alan W. Ahlberg

58 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan W. Ahlberg United States 23 1.2k 646 315 181 99 59 1.4k
Daniele Rovai Italy 19 730 0.6× 743 1.2× 282 0.9× 260 1.4× 87 0.9× 89 1.2k
Anna Chan Hong Kong 12 584 0.5× 852 1.3× 94 0.3× 208 1.1× 28 0.3× 25 1.1k
Andrea L. Vavere United States 20 1.4k 1.2× 589 0.9× 742 2.4× 553 3.1× 28 0.3× 43 1.7k
Howard C. Lewin United States 21 2.2k 1.8× 1.3k 2.0× 574 1.8× 488 2.7× 30 0.3× 31 2.5k
Riccardo Liga Italy 20 677 0.5× 619 1.0× 163 0.5× 242 1.3× 14 0.1× 89 1.1k
Emilio Pasanisi Italy 22 689 0.6× 830 1.3× 260 0.8× 331 1.8× 99 1.0× 70 1.3k
GB John Mancini Canada 5 574 0.5× 280 0.4× 220 0.7× 337 1.9× 14 0.1× 10 789
Frank M. Baer Germany 20 1.2k 1.0× 1.0k 1.6× 217 0.7× 425 2.3× 49 0.5× 48 1.5k
David P Ripley United Kingdom 20 792 0.6× 834 1.3× 94 0.3× 278 1.5× 17 0.2× 95 1.2k
Takashi Muro Japan 15 426 0.3× 547 0.8× 62 0.2× 259 1.4× 50 0.5× 51 759

Countries citing papers authored by Alan W. Ahlberg

Since Specialization
Citations

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

Fields of papers citing papers by Alan W. Ahlberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan W. Ahlberg. 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 Alan W. Ahlberg. The network helps show where Alan W. Ahlberg may publish in the future.

Co-authorship network of co-authors of Alan W. Ahlberg

This figure shows the co-authorship network connecting the top 25 collaborators of Alan W. Ahlberg. A scholar is included among the top collaborators of Alan W. Ahlberg 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 Alan W. Ahlberg. Alan W. Ahlberg 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.
Rai, Mridula, et al.. (2016). Safety of vasodilator stress myocardial perfusion imaging in patients with elevated cardiac biomarkers. Journal of Nuclear Cardiology. 24(2). 724–734. 12 indexed citations
2.
Chhabra, Lovely, Alan W. Ahlberg, Milena J. Henzlova, & W. Lane Duvall. (2015). Temporal trends of stress myocardial perfusion imaging: Influence of diabetes, gender and coronary artery disease status. International Journal of Cardiology. 202. 922–929. 9 indexed citations
3.
Hussain, Nasir, Alan W. Ahlberg, Lori B. Croft, et al.. (2015). Multicenter evaluation of stress-first myocardial perfusion image triage by nuclear technologists and automated quantification. Journal of Nuclear Cardiology. 24(3). 809–820. 3 indexed citations
4.
Duvall, W. Lane, Mridula Rai, Alan W. Ahlberg, David M. O’Sullivan, & Milena J. Henzlova. (2015). A multi-center assessment of the temporal trends in myocardial perfusion imaging. Journal of Nuclear Cardiology. 22(3). 539–551. 39 indexed citations
5.
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
7.
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
10.
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
13.
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
14.
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
15.
Taillefer, Raymond, Alan W. Ahlberg, C Michael White, et al.. (2003). Acute beta-blockade reduces the extent and severity of myocardial perfusion defects with dipyridamole Tc-99m sestamibi SPECT imaging. Journal of the American College of Cardiology. 42(8). 1475–1483. 56 indexed citations
16.
Fram, Daniel B., Rabih R. Azar, Alan W. Ahlberg, et al.. (2003). Duration of abnormal SPECT myocardial perfusion imaging following resolution of acute ischemia: an angioplasty model. Journal of the American College of Cardiology. 41(3). 452–459. 23 indexed citations
17.
Thompson, Paul M., Alan W. Ahlberg, Niall M. Moyna, et al.. (2002). Effect of intravenous testosterone on myocardial ischemia in men with coronary artery disease. American Heart Journal. 143(2). 249–256. 35 indexed citations
18.
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
19.
White, C Michael, Andrea Fossati, Carol C. McGill, et al.. (1998). The Pharmacokinetics of Intravenous Estradiol—A Preliminary Study. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 18(6). 1343–1346. 30 indexed citations
20.
Herman, Steven D., et al.. (1994). Comparison of exercise, dipyridamole, and adenosine by use of technetium 99m sestamibi tomographic imaging. Journal of Nuclear Cardiology. 1(1). 57–64. 29 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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