Alejandro Solodky

1.6k total citations
67 papers, 1.1k citations indexed

About

Alejandro Solodky is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Alejandro Solodky has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cardiology and Cardiovascular Medicine, 33 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Surgery. Recurrent topics in Alejandro Solodky's work include Acute Myocardial Infarction Research (35 papers), Cardiac Imaging and Diagnostics (33 papers) and Cardiac electrophysiology and arrhythmias (21 papers). Alejandro Solodky is often cited by papers focused on Acute Myocardial Infarction Research (35 papers), Cardiac Imaging and Diagnostics (33 papers) and Cardiac electrophysiology and arrhythmias (21 papers). Alejandro Solodky collaborates with scholars based in Israel, United States and Spain. Alejandro Solodky's co-authors include Samuel Sclarovsky, Abid Assali, Ran Kornowski, Alexander Battler, Yochai Birnbaum, Nili Zafrir, Itzhak Herz, Boris Strasberg, Eldad Rechavia and Tuvia Ben‐Gal and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Alejandro Solodky

66 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alejandro Solodky Israel 20 881 561 362 121 72 67 1.1k
O. Madonna France 12 883 1.0× 428 0.8× 652 1.8× 122 1.0× 67 0.9× 22 1.1k
Jean Renkin Belgium 19 972 1.1× 412 0.7× 594 1.6× 206 1.7× 30 0.4× 60 1.3k
Takashi Tanigawa Japan 16 507 0.6× 226 0.4× 222 0.6× 88 0.7× 41 0.6× 59 781
Hee-Yeol Kim South Korea 16 638 0.7× 379 0.7× 498 1.4× 157 1.3× 46 0.6× 80 1.0k
Jang Ho Bae South Korea 19 803 0.9× 404 0.7× 525 1.5× 105 0.9× 30 0.4× 81 1.1k
Chris Koilpillai Canada 8 1.1k 1.2× 310 0.6× 202 0.6× 97 0.8× 73 1.0× 17 1.2k
Hirohiko Ando Japan 17 542 0.6× 434 0.8× 547 1.5× 169 1.4× 54 0.8× 83 883
Myeong‐Ho Yoon South Korea 19 1.1k 1.2× 735 1.3× 764 2.1× 168 1.4× 65 0.9× 116 1.5k
Dritan Keta Germany 11 622 0.7× 363 0.6× 386 1.1× 43 0.4× 37 0.5× 17 806
Nobuo Shiode Japan 15 664 0.8× 374 0.7× 601 1.7× 197 1.6× 24 0.3× 64 962

Countries citing papers authored by Alejandro Solodky

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Solodky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandro Solodky

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Solodky. A scholar is included among the top collaborators of Alejandro Solodky 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 Alejandro Solodky. Alejandro Solodky 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
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Zafrir, Nili, et al.. (2012). Feasibility of myocardial perfusion imaging with half the radiation dose using ordered-subset expectation maximization with resolution recovery software. Journal of Nuclear Cardiology. 19(4). 704–712. 21 indexed citations
4.
Vaduganathan, Muthiah, et al.. (2011). Clopidogrel tapering as a strategy to attenuate platelet rebound phenomenon in patients with bare-metal stents. Journal of Thrombosis and Thrombolysis. 33(1). 16–21. 8 indexed citations
5.
Solodky, Alejandro, et al.. (2010). Treatment of Aspirin-Resistant Patients with Omega-3 Fatty Acids versus Aspirin Dose Escalation. Journal of Vascular Surgery. 52(2). 520–520. 7 indexed citations
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Assali, Abid, Hana Vaknin‐Assa, Itsik Ben‐Dor, et al.. (2006). Drug‐eluting stents in bifurcation lesions: To stent one branch or both?. Catheterization and Cardiovascular Interventions. 68(6). 891–896. 30 indexed citations
8.
Zafrir, Nili, et al.. (2005). Prognostic value of stress myocardial perfusion imaging in octogenarian population. Journal of Nuclear Cardiology. 12(6). 671–675. 15 indexed citations
9.
Solodky, Alejandro, Solomon Behar, Valentina Boyko, Alexander Battler, & David Hasdai. (2004). The Outcome of Coronary Artery Bypass Grafting Surgery among Patients Hospitalized with Acute Coronary Syndrome: The Euro Heart Survey of Acute Coronary Syndrome Experience. Cardiology. 103(1). 44–47. 23 indexed citations
10.
Solodky, Alejandro, Abid Assali, Solomon Behar, et al.. (2003). Anterior wall myocardial infarction in real world: Does reperfusion strategy make any differences?. Catheterization and Cardiovascular Interventions. 61(1). 79–83. 3 indexed citations
11.
Solodky, Alejandro, et al.. (2001). Insulin Resistance Is Increased by Transdermal Estrogen Therapy in Postmenopausal Women with Cardiac Syndrome X. Cardiology. 95(1). 31–34. 7 indexed citations
12.
Porter, Avital, Alexander Mazur, Alejandro Solodky, et al.. (2000). Correlation of Predischarge Electrocardiographic Patterns with Left Ventricular Function in Patients with Anterior Wall Myocardial Infarction. Cardiology. 93(3). 163–167. 1 indexed citations
13.
Assali, Abid, Itzhak Herz, Irit Gil‐Ad, et al.. (2000). Persistent ST segment depression in precordial leads V5–V6 after Q-wave anterior wall myocardial infarction is associated with restrictive physiology of the left ventricle. Journal of the American College of Cardiology. 35(2). 352–357. 6 indexed citations
14.
Herz, Itzhak, Abid Assali, Alejandro Solodky, et al.. (2000). Coronary stenting without predilatation (SWOP): Applicable technique in everyday practice. Catheterization and Cardiovascular Interventions. 49(4). 384–388. 11 indexed citations
15.
Assali, Abid, et al.. (1999). Electrocardiographic criteria for predicting the culprit artery in inferior wall acute myocardial infarction. The American Journal of Cardiology. 84(1). 87–89. 28 indexed citations
16.
Ben‐Gal, Tuvia, Itzhak Herz, Alejandro Solodky, et al.. (1998). Acute anterior wall myocardial infarction entailing st‐segment elevation in lead v1: Electrocardiographic and angiographic correlations. Clinical Cardiology. 21(6). 399–404. 26 indexed citations
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Solodky, Alejandro, et al.. (1996). Relationship between late potentials and the predischarge electrocardiographic pattern in patients with acute anterior wall myocardial infarction. Clinical Cardiology. 19(8). 645–649. 6 indexed citations
19.
Hasdai, David, Samuel Sclarovsky, Alejandro Solodky, et al.. (1994). Prognostic significance of maximal precordial St-segment depression in right (V1 to V3) versus left (V4 to V6) leads in patients with inferior wall acute myocardial infarction. The American Journal of Cardiology. 74(11). 1081–1084. 34 indexed citations
20.
Birnbaum, Yochai, et al.. (1994). Implications of inferior ST-segment depression in anterior acute myocardial infarction: Electrocardiographic and angiographic correlation. American Heart Journal. 127(6). 1467–1473. 45 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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