Mücahid Yılmaz

452 total citations
29 papers, 326 citations indexed

About

Mücahid Yılmaz is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Oncology. According to data from OpenAlex, Mücahid Yılmaz has authored 29 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 7 papers in Surgery and 5 papers in Oncology. Recurrent topics in Mücahid Yılmaz's work include Cardiovascular Disease and Adiposity (6 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Mücahid Yılmaz is often cited by papers focused on Cardiovascular Disease and Adiposity (6 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Mücahid Yılmaz collaborates with scholars based in Türkiye, Cambodia and Italy. Mücahid Yılmaz's co-authors include Hasan Korkmaz, Ertuğrul Kurtoğlu, Erdal Aktürk, Şevket Balta, Saıt Demırkol, Selim Kılıç, Hilmi Umut Ünal, Cengiz Öztürk, Francesco Fıcı and İsa Sıncer and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Cardiology and Journal of Clinical Medicine.

In The Last Decade

Mücahid Yılmaz

27 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mücahid Yılmaz Türkiye 9 123 71 68 57 52 29 326
Larisa Anghel Romania 10 169 1.4× 29 0.4× 73 1.1× 40 0.7× 57 1.1× 43 372
Mahmut Özdemir Türkiye 9 133 1.1× 82 1.2× 39 0.6× 47 0.8× 51 1.0× 28 312
K. van der Putten Netherlands 11 92 0.7× 34 0.5× 33 0.5× 59 1.0× 75 1.4× 17 547
Wojciech Romanowski Poland 13 64 0.5× 38 0.5× 36 0.5× 43 0.8× 24 0.5× 37 379
Thomas Hilberg Germany 14 120 1.0× 50 0.7× 77 1.1× 58 1.0× 18 0.3× 19 502
Joseph Galea Malta 12 117 1.0× 166 2.3× 148 2.2× 129 2.3× 22 0.4× 37 527
Seung‐Jae Joo South Korea 11 186 1.5× 33 0.5× 94 1.4× 45 0.8× 15 0.3× 68 497
Damian Ziaja Poland 12 74 0.6× 56 0.8× 140 2.1× 76 1.3× 20 0.4× 59 427
Barbara Nikolaidou Greece 12 180 1.5× 71 1.0× 34 0.5× 32 0.6× 15 0.3× 37 345
Stamatios Lampsas Greece 11 161 1.3× 51 0.7× 112 1.6× 50 0.9× 9 0.2× 35 389

Countries citing papers authored by Mücahid Yılmaz

Since Specialization
Citations

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

Fields of papers citing papers by Mücahid Yılmaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mücahid Yılmaz

This figure shows the co-authorship network connecting the top 25 collaborators of Mücahid Yılmaz. A scholar is included among the top collaborators of Mücahid Yılmaz 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 Mücahid Yılmaz. Mücahid Yılmaz 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.
Yılmaz, Mücahid, et al.. (2025). Retrospective Cohort Study: Severe COVID-19 Leads to Permanent Blunted Heart Rate Turbulence. Diagnostics. 15(5). 621–621. 1 indexed citations
2.
Yılmaz, Mücahid, et al.. (2025). Individuals Recovered from Severe COVID-19 are Predispose to Develop Atrial Fibrillation. International Journal of General Medicine. Volume 18. 4379–4390. 1 indexed citations
3.
Yılmaz, Mücahid, et al.. (2024). Monocyte to HDL cholesterol ratio and smoking are predictors of epicardial fat tissue thickness. World Journal of Biology Pharmacy and Health Sciences. 18(1). 12–20.
4.
Yılmaz, Mücahid & Seda Güleç Yılmaz. (2023). Major depressive disorder is an independent predictor of the electrocardiographic frontal QRS-T angle. Bratislavské lekárske listy/Bratislava medical journal. 124(4). 313–319. 3 indexed citations
5.
Yılmaz, Mücahid, et al.. (2023). Electrocardiographic frontal QRS-T angle is independently associated with panic disorder. The International Journal of Psychiatry in Medicine. 59(2). 167–181. 1 indexed citations
6.
Yılmaz, Mücahid & Hasan Korkmaz. (2022). Recurrent births (multiparity) lead to permanent changes in cardiac structure. Journal of obstetrics and gynaecology research. 48(4). 946–955. 2 indexed citations
7.
8.
Yılmaz, Mücahid, et al.. (2020). Spotlights on some electrocardiographic paradigms: How should we evaluate normal reference values of Tp–Te interval, Tp–Te dispersion and Tp–Te/QT ratio?. Advances in Clinical and Experimental Medicine. 29(9). 1091–1099. 5 indexed citations
9.
Yılmaz, Mücahid, et al.. (2020). A new inflammatory marker: elevated eosinophil-tolymphocyte ratio associated with presence and severity of isolated coronary artery ectasia. Cardiovascular journal of South Africa. 31(5). 7–15. 2 indexed citations
10.
Yılmaz, Mücahid, et al.. (2020). Is there a relationship between epicardial fat tissue thickness and Tp-Te/QT ratio in healthy individuals?. Archives of Medical Science - Atherosclerotic Diseases. 5(1). 127–139. 1 indexed citations
11.
Yılmaz, Mücahid, et al.. (2019). New inflammatory indicators: association of high eosinophil-to-lymphocyte ratio and low lymphocyte-to-monocyte ratio with smoking. Journal of International Medical Research. 47(9). 4292–4303. 27 indexed citations
12.
Yılmaz, Mücahid, et al.. (2019). Elevated blood basophil count may has a role in etiopathogenesis of isolated coronary artery ectasia. SHILAP Revista de lepidopterología. 8(4). 800–800. 1 indexed citations
13.
Yılmaz, Mücahid, et al.. (2018). Elevated LV Mass and LV Mass Index Sign on the Athlete’s ECG: Athletes’ Hearts are Prone to Ventricular Arrhythmia. Journal of Clinical Medicine. 7(6). 122–122. 5 indexed citations
14.
Köseoğlu, Sabri, et al.. (2018). Association of epicardial fat thickness with clinical and polysomnographic parameters in non-obese obstructive sleep apnoea patients. The Journal of Laryngology & Otology. 132(5). 439–445. 9 indexed citations
15.
Yılmaz, Mücahid, et al.. (2018). A New Inflammatory Marker: Elevated Monocyte to HDL Cholesterol Ratio Associated with Smoking. Journal of Clinical Medicine. 7(4). 76–76. 62 indexed citations
16.
Yılmaz, Mücahid, et al.. (2017). P-Wave and QT Dispersions on Electrocardiography in Coronary Artery Slow Flow Phenomenon. DergiPark (Istanbul University).
17.
Yılmaz, Mücahid, et al.. (2017). Focusing on a complete blood cell parameter: mean platelet volume levels may be a predictor of coronary slow flow. Vascular Health and Risk Management. Volume 13. 255–261. 4 indexed citations
18.
Yılmaz, Mücahid. (2017). Kounis Syndrome: A Paradoxal Non-ST Elevation Myocardial Infarction Case After Triamcinolone Treatment For Dermatitis. Turk Kardiyoloji Dernegi Arsivi-Archives of the Turkish Society of Cardiology. 46(3). 223–227. 1 indexed citations
19.
Kurtoğlu, Ertuğrul, Erdal Aktürk, Hasan Korkmaz, et al.. (2013). Elevated red blood cell distribution width in healthy smokers. Turk Kardiyoloji Dernegi Arsivi-Archives of the Turkish Society of Cardiology. 41(3). 199–206. 29 indexed citations
20.
Ayabakan, Canan, et al.. (2003). A Case of Superoinferior Ventricular Heart with Situs Ambiguus, Dextroventricular Loop, and Levo Transposition of the Arteries. Pediatric Cardiology. 24(5). 498–502. 2 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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