Salih Topal

553 citations
26 papers · 393 · h-index 12

Impact in

Papers in

Salih Topal

24 papers receiving 381 citations

Peers

Salih Topal
Comparison fields: 5 of 73
  • Developmental Neuroscience 27
  • Cardiology and Cardiovascular Medicine 100
  • Nephrology 27
  • Family Practice 5
  • Oncology 57
Replace Zsolt Bagyura with:
Zsolt Bagyura Hungary
Elias Rawish Germany
Sarah A. Aroner United States
Jin Hyuk Kim South Korea
Selçuk Daşdemir Türkiye
Carson Flamm United States
Qingxiao Hong China
Zhengbao Zhu China
Tsuyoshi Mashitani Japan
Nicholas Russell Australia
Salih Topal relative to Zsolt Bagyura Hungary Zsolt Bagyura's profile →
Citations per field
00.5×2.7×
Zsolt Bagyura · 1×
Citations per year

Countries citing papers authored by Salih Topal

Since Specialization
Citations

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

Fields of papers citing papers by Salih Topal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201573
2 201359
3 201938
4 200930
5 200824
6 201419
7 201416
8 200813
9 201913
10 201013
11 201412
12 201111
13 201411
14 201110
15 201210
16 202010
17
Relationship between elevated levels of serum uric acid and saphenous vein graft disease.
20089
18 20157
19
Optical Coherence Tomography and Angiography of Choroidal Vascular Changes in Congestive Heart Failure
20205
20 20214

About Salih Topal

Salih Topal is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Nephrology, having authored 26 papers that have together received 393 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (2 papers), Cardiac Health and Mental Health (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Genomics and Chromatin Dynamics (2 papers), Cardiac Imaging and Diagnostics (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Retinal Imaging and Analysis (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (27 citations), Cardiology and Cardiovascular Medicine (100 citations), Nephrology (27 citations), Family Practice (5 citations) and Oncology (57 citations). Salih Topal has collaborated with scholars based in Türkiye, United States and Brazil. Frequent co-authors include Sadık Kadri Açi̇kgöz, Sinan Aydoğdu, Craig L. Peterson, Marta Radman‐Livaja, Yusuf Tavıl, Atiye Çengel, Melody P. Lun, Anthony S. LaMantia, Kevin G. Broadbelt and Maria K. Lehtinen. Their work appears in journals such as Coronary Artery Disease, Canadian Journal of Cardiology, Developmental Cell, Cell Reports and Nature Communications.

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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