Saim Sağ

657 citations
29 papers · 255 · h-index 10

Impact in

Papers in

Saim Sağ

26 papers receiving 245 citations

Peers

Saim Sağ
Comparison fields: 5 of 57
  • Internal Medicine 21
  • Nephrology 28
  • Cardiology and Cardiovascular Medicine 82
  • Biochemistry 8
  • Pathology and Forensic Medicine 19
Replace Teuku Heriansyah with:
Teuku Heriansyah Indonesia
Tianlei Cui China
Zhaoliang Shan China
Mutlu Büyüklü Türkiye
Ji-Hung Wang Taiwan
Xianhua Ye China
Udayan Ray Australia
L. Zezza Italy
Adela Navarro Spain
Saim Sağ relative to Teuku Heriansyah Indonesia Teuku Heriansyah's profile →
Citations per field
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Citations per year

Countries citing papers authored by Saim Sağ

Since Specialization
Citations

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

Fields of papers citing papers by Saim Sağ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200652
2 201631
3 201622
4 200821
5 201616
6 201615
7 201614
8 201411
9 20129
10 20159
11 20168
12 20176
13 20166
14
Arterial dysfunction in early autosomal dominant polycystic kidney disease independent of fibroblast growth factor 23.
20146
15 20155
16 20214
17 20144
18 20153
19 20163
20 20152

About Saim Sağ

Saim Sağ is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Critical Care and Intensive Care Medicine and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 255 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (3 papers), Ultrasound in Clinical Applications (3 papers), Cardiac tumors and thrombi (2 papers), Paraoxonase enzyme and polymorphisms (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Cardiovascular Conditions and Treatments (2 papers). The work is most often cited by research in Internal Medicine (21 citations), Nephrology (28 citations), Cardiology and Cardiovascular Medicine (82 citations), Biochemistry (8 citations) and Pathology and Forensic Medicine (19 citations). Saim Sağ has collaborated with scholars based in Türkiye. Frequent co-authors include Ali Aydınlar, Sümeyye Güllülü, Jale Cordan, Dilek Yeşilbursa, Tunay Şentürk, B. Handan Özdemir, Zehra Serdar, Abdülmecit Yıldız, İbrahim Baran and Mustafa Güllülü. Their work appears in journals such as The Heart Surgery Forum, SpringerPlus, Renal Failure, International Journal of Impotence Research and Journal of Thrombosis and Thrombolysis.

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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