Renata Zelić

543 citations
16 papers · 355 · h-index 7

Impact in

Papers in

Renata Zelić

14 papers receiving 352 citations

Peers

Renata Zelić
Comparison fields: 5 of 55
  • Radiology, Nuclear Medicine and Imaging 101
  • Pulmonary and Respiratory Medicine 121
  • Health Informatics 4
  • Cancer Research 41
  • Internal Medicine 6
Replace Yishu Deng with:
Yishu Deng China
Karim Saba Switzerland
Jamie Dean United Kingdom
Kelsey Ayers United States
Haohua Teng China
Ping Hu China
Omar Lababede United States
Yosuke Iwatate Japan
Renata Zelić relative to Yishu Deng China Yishu Deng's profile →
Citations per field
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Yishu Deng · 1×
Citations per year

Countries citing papers authored by Renata Zelić

Since Specialization
Citations

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

Fields of papers citing papers by Renata Zelić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2019115
2 201991
3 201456
4 201524
5 201823
6 202412
7 202111
8 20186
9
Prognostic Utility of the Gleason Grading System Revisions and Histopathological Factors Beyond Gleason Grade
20225
10 20194
11 20233
12 20212
13 20252
14 20221
15 20250
16 20250

About Renata Zelić

Renata Zelić is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Artificial Intelligence, Health and Internal Medicine, having authored 16 papers that have together received 355 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (5 papers), Epigenetics and DNA Methylation (2 papers), AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Prostate Cancer Treatment and Research (1 paper), Urologic and reproductive health conditions (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (101 citations), Pulmonary and Respiratory Medicine (121 citations), Health Informatics (4 citations), Cancer Research (41 citations) and Internal Medicine (6 citations). Renata Zelić has collaborated with scholars based in Sweden, Italy and United States. Frequent co-authors include Lorenzo Richiardi, Andreas Pettersson, Daniela Zugna, Olof Akre, Pär Stattin, Hans Garmo, Chiara Grasso, Valentina Fiano, Armando Santoro and Rita De Sanctis. Their work appears in journals such as Prostate Cancer and Prostatic Diseases, Scientific Reports, European Urology, Journal of Alzheimer s Disease and Clinical Cancer Research.

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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