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Ege Akgun

ResearcherPublications, citations & collaboration network

Ege Akgun is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 20 works, 96 citations, an h-index of 6 and an i10-index of 3.

20
Works
96
Citations
6
h-index
3
i10-index

How has Ege Akgun's publication output changed over time?

ScholarIQpublication output · 2023–2025

Output declined75% over the shown period — from 4 works in 2023 to 1 in 2025.

4
5
1
202320242025

What are the most-cited papers on Ege Akgun?

ScholarIQmost cited works
Radiofrequency ablation versus microwave ablation for colorectal liver metastases: long-term results of a retrospective cohort surgical experience
Ali Gunduz Sarioglu, Chase J. Wehrle, Ege Akgun, Arturan İbrahimli, James Bena, Eren Berber
S2764661443. 202417 CitationsOPEN ACCESS
Near-Infrared Autofluorescence Signatures of Single- vs Multigland Disease in Primary Hyperparathyroidism
Ege Akgun, Eren Berber
JAMA Otolaryngology–Head & Neck Surgery. 202412 CitationsOPEN ACCESS
Comparison of incidental parathyroid tissue detection rates on pathology after total thyroidectomy performed with or without near-infrared autofluorescence imaging
Gustavo Romero-Vélez, Seyma Nazli Avci, Gizem Isiktas, Onuralp Ergun, Ege Akgun, Liudmila Muraveika, Judy Jin, Katherine Heiden, Vikram D. Krishnamurthy, Joyce Shin, Allan Siperstein, Eren Berber
Surgery. 202310 Citations

Related on ScholarIQ

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Institution
Radiofrequency ablation versus microwave ablation for colorectal liver metastases: long-term results of a retrospective cohort surgical experience
Paper
Near-Infrared Autofluorescence Signatures of Single- vs Multigland Disease in Primary Hyperparathyroidism
Paper
Comparison of incidental parathyroid tissue detection rates on pathology after total thyroidectomy performed with or without near-infrared autofluorescence imaging
Paper
The use of artificial intelligence to detect parathyroid tissue on ex vivo specimens during thyroidectomy and parathyroidectomy procedures using near-infrared autofluorescence signals
Paper
Assessing the efficacy of thyroid nodule radiofrequency ablation using patient-reported outcome measures
Paper
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