Amjad Ahmed

906 total citations
39 papers, 571 citations indexed

About

Amjad Ahmed is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Surgery. According to data from OpenAlex, Amjad Ahmed has authored 39 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 10 papers in Complementary and alternative medicine and 7 papers in Surgery. Recurrent topics in Amjad Ahmed's work include Cardiovascular and exercise physiology (10 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiac Imaging and Diagnostics (4 papers). Amjad Ahmed is often cited by papers focused on Cardiovascular and exercise physiology (10 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiac Imaging and Diagnostics (4 papers). Amjad Ahmed collaborates with scholars based in Saudi Arabia, United States and Estonia. Amjad Ahmed's co-authors include Mouaz H. Al‐Mallah, Sherif Sakr, Radwa Elshawi, Waqas Qureshi, Steven J. Keteyian, Clinton A. Brawner, Michael J. Blaha, Paula Abreu, Ahmad Hersi and Mohammed Arafah and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Amjad Ahmed

32 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amjad Ahmed Saudi Arabia 11 254 115 99 84 74 39 571
Alexander Michel Germany 12 425 1.7× 91 0.8× 115 1.2× 102 1.2× 67 0.9× 29 1.2k
Fima Macheret United States 10 401 1.6× 98 0.9× 67 0.7× 115 1.4× 66 0.9× 21 713
Thomas Bolton United Kingdom 6 125 0.5× 135 1.2× 154 1.6× 90 1.1× 58 0.8× 7 466
Laura Stevens United States 10 93 0.4× 63 0.5× 33 0.3× 73 0.9× 35 0.5× 18 490
Fern FitzHenry United States 10 84 0.3× 159 1.4× 188 1.9× 91 1.1× 52 0.7× 24 685
Dipti Itchhaporia United States 11 315 1.2× 50 0.4× 38 0.4× 47 0.6× 51 0.7× 19 578
Thomas Evers Germany 18 632 2.5× 57 0.5× 49 0.5× 125 1.5× 38 0.5× 57 1.0k
Marga Giménez Spain 23 244 1.0× 51 0.4× 65 0.7× 82 1.0× 50 0.7× 132 1.5k
Julian S. Haimovich United States 7 177 0.7× 58 0.5× 44 0.4× 55 0.7× 58 0.8× 15 376

Countries citing papers authored by Amjad Ahmed

Since Specialization
Citations

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

Fields of papers citing papers by Amjad Ahmed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amjad Ahmed

This figure shows the co-authorship network connecting the top 25 collaborators of Amjad Ahmed. A scholar is included among the top collaborators of Amjad Ahmed 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 Amjad Ahmed. Amjad Ahmed 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.
2.
Ahmed, Amjad, et al.. (2025). Real-World Efficacy and Safety of Apixaban vs. Warfarin in Obese Atrial Fibrillation Patients: Propensity Matching Analysis. Biomedicines. 13(2). 490–490. 1 indexed citations
3.
4.
Ahmed, Amjad, Waqas Qureshi, Clinton A. Brawner, et al.. (2021). Prognostic Value of Cardiorespiratory Fitness in Patients with Chronic Kidney Disease: The FIT (Henry Ford Exercise Testing) Project. The American Journal of Medicine. 135(1). 67–75.e1. 5 indexed citations
5.
Aljizeeri, Ahmed, Ahmed Ibrahim Ahmed, Dalia Ahmed, et al.. (2021). Myocardial Flow Reserve and Coronary Calcification in Prognosis of Patients With Suspected Coronary Artery Disease. JACC. Cardiovascular imaging. 14(12). 2443–2452. 25 indexed citations
6.
Ahmed, Ahmed Ibrahim, Yushui Han, Amjad Ahmed, et al.. (2021). Association of Twitter Metrics and Cardiology and Heart Surgery National Hospital Rankings. SHILAP Revista de lepidopterología. 6(1). 16–18.
7.
Rifai, Mahmoud Al, Michael J. Blaha, Amjad Ahmed, et al.. (2020). Cardiorespiratory Fitness and Incident Stroke Types. Mayo Clinic Proceedings. 95(7). 1379–1389. 7 indexed citations
8.
9.
Aljizeeri, Ahmed, Dalia Ahmed, Amjad Ahmed, et al.. (2019). ARE PATIENTS WITH END-STAGE LIVER DISEASE MAXIMALLY VASODILATED? INSIGHTS FROM RUBIDIUM-82 PET DILATORY PERFUSION. Journal of the American College of Cardiology. 73(9). 1563–1563.
10.
Sakr, Sherif, Radwa Elshawi, Amjad Ahmed, et al.. (2018). Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project. PLoS ONE. 13(4). e0195344–e0195344. 86 indexed citations
11.
Al‐Mallah, Mouaz H., et al.. (2018). Abstract 11557: Referral to Coronary Angiography Among Patients With Moderate or Severe Ischemia: Implications for the ISCHEMIA Trial. Circulation. 1 indexed citations
12.
Ahmed, Amjad, et al.. (2017). Cardiovascular risk factors burden in Saudi Arabia: The Africa Middle East Cardiovascular Epidemiological (ACE) study. Journal of the Saudi Heart Association. 29(4). 235–243. 85 indexed citations
13.
Sakr, Sherif, Radwa Elshawi, Amjad Ahmed, et al.. (2017). Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project. BMC Medical Informatics and Decision Making. 17(1). 174–174. 69 indexed citations
14.
Al‐Mallah, Mouaz H., Radwa Elshawi, Amjad Ahmed, et al.. (2017). Using Machine Learning to Define the Association between Cardiorespiratory Fitness and All-Cause Mortality (from the Henry Ford Exercise Testing Project). The American Journal of Cardiology. 120(11). 2078–2084. 19 indexed citations
15.
Al‐Mallah, Mouaz H., Amjad Ahmed, Waqas Qureshi, et al.. (2017). USING MACHINE LEARNING TO DEFINE THE ASSOCIATION BETWEEN CARDIORESPIRATORY FITNESS AND ALL-CAUSE MORTALITY: THE FIT (HENRY FORD EXERCISE TESTING) PROJECT. Journal of the American College of Cardiology. 69(11). 1612–1612. 2 indexed citations
16.
Ahmed, Amjad, Dalia Ahmed, Ahmed Aljizeeri, et al.. (2017). NON-INVASIVE CORONARY FLOW RESERVE PREDICTS MAJOR ADVERSE CARDIAC EVENTS IN PATIENTS WITH PRIOR CORONARY ARTERY BYPASS GRAFTING. Journal of the American College of Cardiology. 69(11). 1400–1400. 1 indexed citations
17.
Al‐Mallah, Mouaz H., et al.. (2017). Multimodality Imaging of Pericardial Diseases. Current Treatment Options in Cardiovascular Medicine. 19(12). 89–89. 13 indexed citations
18.
Ahmed, Amjad, et al.. (2017). Low-dose attenuation correction in diagnosis of non-alcoholic fatty liver disease. Abdominal Radiology. 42(10). 2454–2459. 2 indexed citations
19.
Ahmed, Amjad, et al.. (2017). The role of myocardial viability in contemporary cardiac practice. Heart Failure Reviews. 22(4). 401–413. 15 indexed citations
20.
Qureshi, Waqas, et al.. (2016). The impact of digoxin on mortality in patients with chronic systolic heart failure: A propensity-matched cohort study. International Journal of Cardiology. 228. 214–218. 14 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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