Murat Uğur

1.1k citations
63 papers · 733 · h-index 16

Impact in

Papers in

Murat Uğur

58 papers receiving 716 citations

Peers

Murat Uğur
Comparison fields: 5 of 72
  • Cardiology and Cardiovascular Medicine 249
  • Internal Medicine 27
  • Oncology 161
  • Endocrinology, Diabetes and Metabolism 84
  • Nephrology 34
Replace Ahmet Taha Alper with:
Ahmet Taha Alper Türkiye
Nevzat Uslu Türkiye
Tolga Sinan Güvenç Türkiye
Jharendra Rijal United States
Mustafa Duran Türkiye
Ali Kemal Kalkan Türkiye
Burak Ayça Türkiye
Hamdi Püşüroğlu Türkiye
Orhan Maden Türkiye
Hussein El-Shafei United Kingdom
Murat Uğur relative to Ahmet Taha Alper Türkiye Ahmet Taha Alper's profile →
Citations per field
00.5×1.5×1.8×
Ahmet Taha Alper · 1×
Citations per year

Countries citing papers authored by Murat Uğur

Since Specialization
Citations

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

Fields of papers citing papers by Murat Uğur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Murat Uğur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Murat Uğur Line = papers co-authored together Murat Uğur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200960
2 201252
3 201448
4 200946
5 201446
6 201240
7 200935
8 201632
9 201426
10 200825
11 200923
12
Neutrophil-to-lymphocyte ratio as a prognostic marker in infective endocarditis: in-hospital and long-term clinical results.
201422
13 201020
14 201119
15 201419
16 201115
17 201414
18 201114
19 201412
20 201411

About Murat Uğur

Murat Uğur is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Oncology, having authored 63 papers that have together received 733 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (9 papers), Acute Myocardial Infarction Research (6 papers), Aortic Disease and Treatment Approaches (4 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Aortic aneurysm repair treatments (3 papers), Peripheral Artery Disease Management (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Acute Kidney Injury Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (249 citations), Internal Medicine (27 citations), Oncology (161 citations), Endocrinology, Diabetes and Metabolism (84 citations) and Nephrology (34 citations). Murat Uğur has collaborated with scholars based in Türkiye, United States and Antigua and Barbuda. Frequent co-authors include Altan Onat, Gülay Hergenç, Hüseyin Uyarel, Erkan Ayhan, Mehmet Bozbay, Mehmet Ergelen, Günay Can, Gökhan Çiçek, Mehmet Gül and Mehmet Eren. Their work appears in journals such as Coronary Artery Disease, The Heart Surgery Forum, Journal of Thoracic and Cardiovascular Surgery, International Journal of Cardiology and The Annals of Thoracic Surgery.

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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