Elgin Özkan

936 citations
84 papers · 608 · h-index 14

Impact in

Papers in

Elgin Özkan

76 papers receiving 597 citations

Peers

Elgin Özkan
Comparison fields: 5 of 57
  • Endocrinology, Diabetes and Metabolism 114
  • Radiology, Nuclear Medicine and Imaging 141
  • Pulmonary and Respiratory Medicine 163
  • Oncology 133
  • Nephrology 35
Replace Hiroaki Hazama with:
Hiroaki Hazama Japan
J M Miranda Mexico
Bedii Kanmaz Türkiye
Erwin J. M. van Geenen Netherlands
A. R. Boerner Germany
Davide Prezzi United Kingdom
Herbert Maier Austria
Young‐Tae Ju South Korea
Sith Phongkitkarun Thailand
Suresh Maximin United States
Elgin Özkan relative to Hiroaki Hazama Japan Hiroaki Hazama's profile →
Citations per field
00.5×3.5×
Hiroaki Hazama · 1×
Citations per year

Countries citing papers authored by Elgin Özkan

Since Specialization
Citations

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

Fields of papers citing papers by Elgin Özkan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201338
2 201834
3 201232
4 201131
5 201231
6 201628
7 201525
8 200824
9 201623
10 201118
11 201417
12 201617
13 199517
14 201414
15 201113
16 201212
17 201111
18 201711
19 201711
20 20159

About Elgin Özkan

Elgin Özkan is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Oncology and Surgery, having authored 84 papers that have together received 608 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (14 papers), Medical Imaging Techniques and Applications (10 papers), Medical Imaging and Pathology Studies (10 papers), Prostate Cancer Treatment and Research (8 papers), Radiopharmaceutical Chemistry and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Multiple Myeloma Research and Treatments (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (114 citations), Radiology, Nuclear Medicine and Imaging (141 citations), Pulmonary and Respiratory Medicine (163 citations), Oncology (133 citations) and Nephrology (35 citations). Elgin Özkan has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Çiğdem Soydal, Mine Araz, Metin Kır, Gülseren Araş, Erkan İbiş, Sadık Bilgiç, Murat Faik Erdoğan, Çağdaş Kalkan, İrfan Soykan and Devrim Akıncı. Their work appears in journals such as Nuclear Medicine Communications, European Journal of Nuclear Medicine and Molecular Imaging, The Quarterly Journal of Nuclear Medicine and Molecular Imaging, Annals of Nuclear Medicine and Cancer Biotherapy and Radiopharmaceuticals.

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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