Mesut Öztürk

444 citations
42 papers · 294 indexed · h-index 10
Topics
MRI in cancer diagnosis (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Ultrasound Imaging and Elastography (4 papers)
Journals
SHILAP Revista de lepidopterologíaAmerican Journal of RoentgenologyJournal of Orthopaedic Research®

In The Last Decade

Mesut Öztürk

42 papers receiving 287 citations

Peers

Mesut Öztürk
Comparison fields: 5 of 60
  • Surgery 89
  • Nephrology 70
  • Radiology, Nuclear Medicine and Imaging 70
  • Pulmonary and Respiratory Medicine 67
  • Oncology 46
Replace Deniz Cılız with:
Deniz Cılız Türkiye
Kayıhan Akın Türkiye
Emanuele David Italy
Francesco Iaselli Italy
Pamela Polito Italy
Jukka Schildt Finland
G Coari Italy
D. Lanigan United Kingdom
Efstratios Moralidis Greece
Özgür Demir Türkiye
Mesut Öztürk relative to Deniz Cılız Türkiye Deniz Cılız's profile →
Citations per field
00.5×1.5×2.3×
Deniz Cılız · 1×
Citations per year

Countries citing papers authored by Mesut Öztürk

Since Specialization
Citations

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

Fields of papers citing papers by Mesut Öztürk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mesut Öztürk

This figure shows the co-authorship network connecting the top 25 collaborators of Mesut Öztürk. A scholar is included among the top collaborators of Mesut Öztürk 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 Mesut Öztürk. Mesut Öztürk 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
#WorkIndexed citations
1 1
2 5
3 1
4 7
5 9
6 2
7 16
8 3
9 23
10
SINUS TYMPANI VOLUME IN TEMPORAL BONES WITH KÖRNER'S SEPTUM: A QUANTITATIVE THREE- DIMENSIONAL ANALYSIS
1
11 3
12 19
13 1
14 11
15 4
16 7
17 22
18
Characterization of cervical lymph nodes with 16 slice multislice computed tomography and histopathologic correlation.
1
19 6
20 3

About Mesut Öztürk

Mesut Öztürk is a scholar working on Orthopedics and Sports Medicine, Radiology, Nuclear Medicine and Imaging and Rheumatology, having authored 42 papers that have together received 294 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Ultrasound Imaging and Elastography (4 papers). The work is most often cited by research in Complementary and Manual Therapy (23 citations), Nephrology (70 citations) and Radiology, Nuclear Medicine and Imaging (70 citations). Mesut Öztürk has collaborated with scholars based in Türkiye, United States and Antigua and Barbuda. Frequent co-authors include Ahmet Veysel Polat, Tümay Bekçi, Çetin Kotan, Mustafa Köşem, Mustafa Harman, Mustafa Bekir Selçuk, Ekrem Algün, Cafer Polat, Çetin Çelenk and Ayfer Kamalı Polat. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Roentgenology and Journal of Orthopaedic Research®.

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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