Naim Ata

83 papers receiving 1.1k citations

Peers

Naim Ata
Comparison fields: 5 of 89
  • Geriatrics and Gerontology 41
  • Pathology and Forensic Medicine 157
  • Endocrinology, Diabetes and Metabolism 146
  • Infectious Diseases 164
  • Cardiology and Cardiovascular Medicine 150
Replace Tuba Taslamacıoğlu Duman with:
Tuba Taslamacıoğlu Duman Türkiye
Burçin Meryem Atak Tel Türkiye
Mark A. Klausner United States
Satılmış Bilgin Türkiye
Kathryn A. Britton United States
Meng‐Jiun Chiou Taiwan
Özge Kurtkulağı Türkiye
Sung Jin Moon South Korea
Vinod Bansal United States
Martijn G.H. van Oijen Netherlands
Naim Ata relative to Tuba Taslamacıoğlu Duman Türkiye Tuba Taslamacıoğlu Duman's profile →
Citations per field
00.5×10×20×25.5×
Tuba Taslamacıoğlu Duman · 1×
Citations per year

Countries citing papers authored by Naim Ata

Since Specialization
Citations

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

Fields of papers citing papers by Naim Ata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200999
2 202085
3 201070
4 201068
5 202062
6 201057
7
High-sensitivity C-reactive protein is a strong predictor of non-alcoholic fatty liver disease.
201451
8 200546
9 201139
10 201232
11 202130
12 202024
13 202024
14 202024
15 201523
16 201423
17 200820
18 201418
19 201018
20 201417

About Naim Ata

Naim Ata is a scholar working on Surgery, Infectious Diseases, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 99 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (11 papers), Vitamin D Research Studies (5 papers), Heart Failure Treatment and Management (5 papers), Thyroid Disorders and Treatments (4 papers), COVID-19 and healthcare impacts (4 papers), Myasthenia Gravis and Thymoma (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). The work is most often cited by research in Geriatrics and Gerontology (41 citations), Pathology and Forensic Medicine (157 citations), Endocrinology, Diabetes and Metabolism (146 citations), Infectious Diseases (164 citations) and Cardiology and Cardiovascular Medicine (150 citations). Naim Ata has collaborated with scholars based in Türkiye, Italy and Cambodia. Frequent co-authors include Derun Taner Ertuğrul, Bünyamin Yavuz, Metin Küçükazman, Ahmet Arif Yalçın, Kadir Okhan Akın, Kürşat Dal, Osman Çelik, Şuayıp Birinci, Onur Sinan Deveci and Emre Tutal. Their work appears in journals such as Multiple Sclerosis and Related Disorders, BMC Musculoskeletal Disorders, Atherosclerosis, The Lancet Regional Health - Europe and Journal of Pediatric Orthopaedics.

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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