Serhat V. Okar

676 citations
22 papers · 272 · h-index 10

Impact in

Papers in

Serhat V. Okar

21 papers receiving 270 citations

Peers

Serhat V. Okar
Comparison fields: 5 of 60
  • Cellular and Molecular Neuroscience 69
  • Neurology 30
  • Neurology 46
  • Pathology and Forensic Medicine 49
  • Health Informatics 3
Replace Arnolfo de Carvalho Neto with:
Arnolfo de Carvalho Neto Brazil
Ece Ercan Netherlands
Ulrike Bonati Switzerland
Renee K. Johnson United States
Ahmed Elsotouhy Qatar
Elżbieta Marszał Poland
Victor Hugo Rocha Marussi Brazil
Jaime Torres-Corzo Mexico
Alessandro F. Fois Australia
Abdulaziz Awad Saudi Arabia
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Citations per field
00.5×6.5×
Arnolfo de Carvalho Neto · 1×
Citations per year

Countries citing papers authored by Serhat V. Okar

Since Specialization
Citations

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

Fields of papers citing papers by Serhat V. Okar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Serhat V. Okar. 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 Serhat V. Okar. The network helps show where Serhat V. Okar may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202276
2 202237
3 202327
4 201820
5 201516
6 202316
7 202410
8 20209
9 20239
10 20239
11 20228
12 20208
13 20247
14 20216
15 20254
16
Can Convexity Subarachnoid Hemorrhage be Caused by Rupture of a Saccular Aneurysm?
20184
17 20252
18 20251
19 20181
20 20241

About Serhat V. Okar

Serhat V. Okar is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Neurology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 272 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), Cerebrospinal fluid and hydrocephalus (4 papers), Ultrasound Imaging and Elastography (2 papers), Neurosurgical Procedures and Complications (2 papers), Polyomavirus and related diseases (2 papers), Advanced MRI Techniques and Applications (2 papers), Image Processing Techniques and Applications (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (69 citations), Neurology (30 citations), Neurology (46 citations), Pathology and Forensic Medicine (49 citations) and Health Informatics (3 citations). Serhat V. Okar has collaborated with scholars based in United States, Türkiye and Switzerland. Frequent co-authors include Daniel S. Reich, Benjamin Victor Ineichen, Britta Engelhardt, Steven T. Proulx, Hans Lassmann, Russell T. Shinohara, Erin Beck, Govind Nair, Aslı Kurne and Fengling Hu. Their work appears in journals such as Journal of Neuroimmunology, Investigative Radiology, Pathogens, Frontiers in Neurology and Topics in Magnetic Resonance Imaging.

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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