Alparslan Kılıç

673 total citations
31 papers, 496 citations indexed

About

Alparslan Kılıç is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Alparslan Kılıç has authored 31 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 7 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in Alparslan Kılıç's work include Acute Myocardial Infarction Research (9 papers), Cardiovascular Function and Risk Factors (7 papers) and Cardiac Imaging and Diagnostics (5 papers). Alparslan Kılıç is often cited by papers focused on Acute Myocardial Infarction Research (9 papers), Cardiovascular Function and Risk Factors (7 papers) and Cardiac Imaging and Diagnostics (5 papers). Alparslan Kılıç collaborates with scholars based in Türkiye, United States and Spain. Alparslan Kılıç's co-authors include İbrahim Etem Çelik, Mikail Yarlıoğlueş, Sani Namık Murat, Alparslan Kurtul, Mustafa Duran, Adil Hakan Öcek, Fatih Öksüz, Mustafa Duran, Cemal Köseoğlu and Deniz Elçik and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Cardiology and Coronary Artery Disease.

In The Last Decade

Alparslan Kılıç

31 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alparslan Kılıç Türkiye 12 325 138 111 103 75 31 496
İbrahim Etem Çelik Türkiye 13 332 1.0× 168 1.2× 134 1.2× 106 1.0× 79 1.1× 29 508
Zeki Yüksel Günaydın Türkiye 13 298 0.9× 104 0.8× 142 1.3× 86 0.8× 68 0.9× 53 494
Hamdi Püşüroğlu Türkiye 16 434 1.3× 97 0.7× 151 1.4× 123 1.2× 86 1.1× 65 687
Fatih Öksüz Türkiye 16 287 0.9× 152 1.1× 86 0.8× 105 1.0× 46 0.6× 36 525
Mehmet Fatih Özlü Türkiye 13 252 0.8× 100 0.7× 69 0.6× 104 1.0× 58 0.8× 41 449
Selim Topçu Türkiye 10 251 0.8× 96 0.7× 117 1.1× 58 0.6× 71 0.9× 37 418
Sadık Açıkel Türkiye 11 321 1.0× 112 0.8× 62 0.6× 73 0.7× 63 0.8× 49 505
Adil Hakan Öcek Türkiye 8 270 0.8× 91 0.7× 156 1.4× 85 0.8× 59 0.8× 9 401
Gökhan Ergün Türkiye 12 314 1.0× 107 0.8× 232 2.1× 121 1.2× 54 0.7× 21 534
Erdoğan Sökmen Türkiye 11 210 0.6× 129 0.9× 84 0.8× 109 1.1× 27 0.4× 35 416

Countries citing papers authored by Alparslan Kılıç

Since Specialization
Citations

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

Fields of papers citing papers by Alparslan Kılıç

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alparslan Kılıç

This figure shows the co-authorship network connecting the top 25 collaborators of Alparslan Kılıç. A scholar is included among the top collaborators of Alparslan Kılıç 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 Alparslan Kılıç. Alparslan Kılıç 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.
Kılıç, Alparslan, et al.. (2023). Relationship between the triglyceride-glucose index and the SYNTAX score 2 in patients with non-ST elevation myocardial infarction. PubMed. 12(1). e0277–e0277. 3 indexed citations
2.
Kılıç, Alparslan, et al.. (2021). Relationship Between Fasting Glucose, HbA1c Levels, and the SYNTAX Score 2 in Patients With Non-ST-Elevation Myocardial Infarction. Angiology. 73(2). 177–181. 2 indexed citations
3.
İncir, Said, K. Erhan Palaoğlu, Mahir Kapmaz, et al.. (2021). Immature platelet fraction: is a novel early predictive marker for disease severity in patients with Covid-19 pneumonia?. Turkish Journal of Biochemistry. 46(4). 359–366. 5 indexed citations
4.
Kılıç, Alparslan, et al.. (2021). The Triglyceride-Glucose Index, a Predictor of Insulin Resistance, Is Associated With Subclinical Atherosclerosis. Angiology. 72(10). 994–1000. 24 indexed citations
5.
Kılıç, Alparslan, et al.. (2020). Role of dyslipidemia in early vascular aging syndrome. TURKISH JOURNAL OF MEDICAL SCIENCES. 51(2). 727–734. 11 indexed citations
6.
Kılıç, Alparslan, et al.. (2020). Understanding Vascular Age: Are Clinical scoring systems useful for Early Vascular Aging Syndrome Prediction ?. High Blood Pressure & Cardiovascular Prevention. 27(6). 569–577. 1 indexed citations
7.
8.
Öksüz, Fatih, Mikail Yarlıoğlueş, Mustafa Duran, et al.. (2019). Mitral annular calcification and its severity predict high risk for cardio-embolic stroke in elderly patients with first diagnosed atrial fibrillation. Acta cardiologica. Supplementum. 76(1). 56–62. 2 indexed citations
9.
Kılıç, Alparslan. (2019). Reference pulse wave velocity values in a normotensive healthy Turkish population. SHILAP Revista de lepidopterología. 47(5). 373–378. 3 indexed citations
10.
Çelik, İbrahim Etem, et al.. (2019). Anterior myocardial infarction in a patient with isolated left ventricular non-compaction. Cardiology in the Young. 29(5). 708–710. 1 indexed citations
11.
12.
Öksüz, Fatih, Mikail Yarlıoğlueş, Selçuk Öztürk, et al.. (2017). Atrial electromechanical delay analysed by tissue Doppler echocardiography is prolonged in patients with generalised anxiety disorders. Kardiologia Polska. 75(6). 581–588. 5 indexed citations
13.
Kılıç, Alparslan, et al.. (2016). Deaf Athlete: Is There Any Difference Beyond The Hearing Loss?. Revista de Cercetare si Interventie Sociala. 241–251. 4 indexed citations
14.
Kılıç, Alparslan, et al.. (2015). TOPLUM RUH SAĞLIĞI MERKEZİNDEN HİZMET ALAN HASTALARIN SOSYAL PROFİLİ VE MERKEZDE VERİLEN HİZMETLER. DergiPark (Istanbul University). 26(2). 53–72. 4 indexed citations
15.
Murat, Sani Namık, Alparslan Kurtul, İbrahim Etem Çelik, et al.. (2015). The association of serum procalcitonin level with the no-reflow phenomenon after a primary percutaneous coronary intervention in patients with ST-elevation myocardial infarction. Coronary Artery Disease. 27(2). 116–121. 9 indexed citations
16.
Kurtul, Alparslan, Sani Namık Murat, Mikail Yarlıoğlueş, et al.. (2015). Usefulness of Serum Albumin Concentration to Predict High Coronary SYNTAX Score and In-Hospital Mortality in Patients With Acute Coronary Syndrome. Angiology. 67(1). 34–40. 102 indexed citations
17.
Kurtul, Alparslan, Mikail Yarlıoğlueş, Sani Namık Murat, et al.. (2015). The association of plasma fibrinogen with the extent and complexity of coronary lesions in patients with acute coronary syndrome. Kardiologia Polska. 74(4). 338–345. 19 indexed citations
18.
Kurtul, Alparslan, Mikail Yarlıoğlueş, İbrahim Etem Çelik, et al.. (2015). Association of lymphocyte-to-monocyte ratio with the no-reflow phenomenon in patients who underwent a primary percutaneous coronary intervention for ST-elevation myocardial infarction. Coronary Artery Disease. 26(8). 706–712. 42 indexed citations
19.
20.
Kılıç, Alparslan, Mikail Yarlıoğlueş, Mustafa Duran, et al.. (2015). Association of total serum antioxidant capacity with the Tei index in echocardiography in patients with microvascular angina. Coronary Artery Disease. 26(7). 620–625. 4 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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