Nihat Şen

2.1k citations
85 papers · 1.7k · h-index 23

Impact in

Papers in

Nihat Şen

80 papers receiving 1.6k citations

Peers

Nihat Şen
Comparison fields: 5 of 112
  • Internal Medicine 175
  • Cardiology and Cardiovascular Medicine 741
  • Nephrology 223
  • Oncology 515
  • Epidemiology 349
Replace Çağrı Yayla with:
Çağrı Yayla Türkiye
Ender Örnek Türkiye
Mustafa Kurt Türkiye
Fırat Özcan Türkiye
Mahmut Akpek Türkiye
Atiye Çengel Türkiye
Mikail Yarlıoğlueş Türkiye
Osman Turak Türkiye
Lucia Barbieri Italy
Murat Çaylı Türkiye
Nihat Şen relative to Çağrı Yayla Türkiye Çağrı Yayla's profile →
Citations per field
00.5×1.5×1.9×
Çağrı Yayla · 1×
Citations per year

Countries citing papers authored by Nihat Şen

Since Specialization
Citations

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

Fields of papers citing papers by Nihat Şen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nihat Şen, 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 Nihat Şen Line = papers co-authored together Nihat Şen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012165
2 2006145
3 2013122
4 2013115
5 200779
6 201375
7 201258
8 201046
9 200639
10 201035
11 201334
12 201333
13 201133
14 200732
15 201232
16 200930
17
Nebivolol therapy improves endothelial function and increases exercise tolerance in patients with cardiac syndrome X.
200930
18 200928
19 201128
20 201325

About Nihat Şen

Nihat Şen is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Oncology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 85 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (15 papers), Inflammatory Biomarkers in Disease Prognosis (14 papers), Cardiovascular Disease and Adiposity (14 papers), Cardiovascular Function and Risk Factors (13 papers), Cardiac Imaging and Diagnostics (12 papers), Cardiac Arrhythmias and Treatments (8 papers), Venous Thromboembolism Diagnosis and Management (8 papers) and Inflammasome and immune disorders (8 papers). The work is most often cited by research in Internal Medicine (175 citations), Cardiology and Cardiovascular Medicine (741 citations), Nephrology (223 citations), Oncology (515 citations) and Epidemiology (349 citations). Nihat Şen has collaborated with scholars based in Türkiye, United States and Romania. Frequent co-authors include Yusuf Tavıl, Atiye Çengel, Adnan Burak Akçay, Mustafa Kurt, Eyüp Büyükkaya, M.F. Karakaş, Adnan Abacı, Esra Karakaş, İbrahi̇m Hali̇l Tanboğa and Fırat Özcan. Their work appears in journals such as Journal of Investigative Medicine, Coronary Artery Disease, Clinical and investigative medicine, Atherosclerosis and Clinical Rheumatology.

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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