Halit Nahit Şendur

39 papers receiving 346 citations

Peers

Halit Nahit Şendur
Comparison fields: 5 of 57
  • Health Informatics 12
  • Hepatology 31
  • Genetics 37
  • Orthopedics and Sports Medicine 24
  • Radiology, Nuclear Medicine and Imaging 60
Replace Mahi Nur Cerit with:
Mahi Nur Cerit Türkiye
Marcelo Straus Takahashi Brazil
Takeo Goto Japan
Oana Mirea Romania
Miyuki Nakatani Japan
Takeo Nakada Japan
Kutsi Köseoğlu Türkiye
Türker Acar Türkiye
C. Heycock United Kingdom
W Schneider Germany
Halit Nahit Şendur relative to Mahi Nur Cerit Türkiye Mahi Nur Cerit's profile →
Citations per field
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Mahi Nur Cerit · 1×
Citations per year

Countries citing papers authored by Halit Nahit Şendur

Since Specialization
Citations

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

Fields of papers citing papers by Halit Nahit Şendur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Halit Nahit Şendur. 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 Halit Nahit Şendur. The network helps show where Halit Nahit Şendur may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202045
2 201829
3 202028
4 202125
5 202023
6 201817
7 202015
8 202314
9 202313
10 202011
11 202210
12 202210
13 20209
14 20219
15 20217
16 20207
17 20197
18 20246
19 20235
20 20235

About Halit Nahit Şendur

Halit Nahit Şendur is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Epidemiology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 49 papers that have together received 350 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), COVID-19 diagnosis using AI (3 papers), Digital Radiography and Breast Imaging (3 papers), Cardiovascular Health and Disease Prevention (3 papers), COVID-19 and healthcare impacts (3 papers), Nutrition and Health in Aging (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Health Informatics (12 citations), Hepatology (31 citations), Genetics (37 citations), Orthopedics and Sports Medicine (24 citations) and Radiology, Nuclear Medicine and Imaging (60 citations). Halit Nahit Şendur has collaborated with scholars based in Türkiye, Germany and United States. Frequent co-authors include Mahi Nur Cerit, Emetullah Cındıl, Suna Özhan Oktar, Yusuf Öner, Turgut Talı, Koray Akkan, Mehmet Muhittin Yalçın, Filiz Çelebi, Gonca Erbaş and Abdurrahman Tufan. Their work appears in journals such as Academic Radiology, Journal of Ultrasound in Medicine, Skeletal Radiology, Lara D. Veeken and Dysphagia.

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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