Gernot Hudelist is an expert in Gynecology at Hospital of the Brothers of St. John of God (Austria). As of October 2026, ScienceLeadR ranks Gernot Hudelist in the top 1% of experts worldwide for Endometriosis. Gernot Hudelist has authored 194 publications, the most recent in 2026, and is an investigator in 2 clinical trials. SLR score: 613 (community average: 125). How the SLR is computed.

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613 ScienceLeadR Reputation 613
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Gynecology

Subspecialties: Obstetrics - Medical Imaging - Surgery

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Expert Rankings

Top experts on the MeSH terms this expert works on

Organizations

Career arc: 2003 - 2026

Source: PubMed

University of Vienna

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 194

Citations

Citations: 8 465 1st author: 45 Last author: 44 Unique author: 2


Best Journals

Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Food and dietary supplement expenditures associated with dietary self-management among women with endometriosis: A cross-sectional study in Hungary.
PMID 42898086 — endometriosis, self-management, financial stress, cross-sectional studies, dietary supplements, self care, diet, food
Prev Med Rep20260
Aetiology of pelvic neuropathies in women: a narrative review.
PMID 42738799 — endometriosis, peripheral nervous system diseases, pain, iatrogenic disease, pelvic pain, neuralgia
Facts Views Vis Obgyn20260
Functional outcomes after laparoscopic colorectal resection with natural orifice specimen extraction and conventional specimen extraction for deep endometriosis: a 24-month prospective cohort study.
PMID 42742521 — regression analysis, endometriosis, quality of life, minimally invasive surgical procedures, pain, cohort studies, signs and symptoms, gynecology, colorectal surgery
Ginekol Pol20260
From ACR O-RADS 2022 to Explainable Deep Learning: Comparative Performance of Expert Radiologists, Convolutional Neural Networks, Vision Transformers, and Fusion Models for Ultrasound-Based Risk Stratification of Ovarian Masses.
PMID 42572015 — vision, ocular, radiologists, ovary, ultrasonics, deep learning, ovarian neoplasms, learning, artificial intelligence, wounds and injuries
J Ultrasound Med20260
Proposals for the #Enzian addendum and update: an international expert survey for item generation.
PMID 42533569 — urinary bladder, endometriosis, fertility, classification, adenomyosis, ligaments, reproductive medicine
Facts Views Vis Obgyn20260

Clinical Studies 2

Sources: ClinicalTrials, EU CTIS

Synthesis

By phase:

N/A 1
Phase 3 1

By status:

Completed 2

By type:

Interventional 2

By Monocentric/Multicentric:

monocentric 1
multicentric2to4 0
multicentric5to9 0
multicentricup10 1

Main Topics

Cohort/Consortium Investigators 1

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