Victoria Chernyak

6.1k citations
148 papers · 3.6k indexed · 2 hit papers · h-index 30

Victoria Chernyak

139 papers receiving 3.6k citations

Hit Papers

Liver Imaging Reporting and Data System (LI-RADS) Version...7362017202620202023200400600

Peers

Victoria Chernyak
Comparison fields: 5 of 118
  • Hepatology 1.9k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Epidemiology 1.3k
  • Health Informatics 33
  • Surgery 1.0k
Replace Vahid Yaghmai with:
Vahid Yaghmai United States
Woo Kyoung Jeong South Korea
Alessandro Furlan United States
Eun Sil Yu South Korea
Maxime Ronot France
Ijin Joo South Korea
Patrice Taourel France
Aya Kamaya United States
Zahra Kassam Canada
Ralf‐Thorsten Hoffmann Germany
Victoria Chernyak relative to Vahid Yaghmai United States Vahid Yaghmai's profile →
Citations per field
00.5×1.6×
Vahid Yaghmai · 1×
Citations per year

Countries citing papers authored by Victoria Chernyak

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Chernyak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 202416
4 20240
5 20244
6 20244
7 20234
8 20233
9 20224
10 202212
11 202120
12 202111
13 20216
14 20215
15 202047
16 201926
17 201917
18 201834
19 2017176
20 201231

About Victoria Chernyak

Victoria Chernyak is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 148 papers that have together received 3.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (70 papers), Liver Disease Diagnosis and Treatment (53 papers), MRI in cancer diagnosis (30 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Liver Disease and Transplantation (15 papers), Pelvic floor disorders treatments (14 papers), Appendicitis Diagnosis and Management (13 papers) and Pancreatic and Hepatic Oncology Research (12 papers). The work is most often cited by research in Hepatology (1.9k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Epidemiology (1.3k citations). Victoria Chernyak has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Claude B. Sirlin, An Tang, Aya Kamaya, Kathryn J. Fowler, Khaled M. Elsayes, Ania Z. Kielar, Mustafa R. Bashir, Yuko Kono, Alla M. Rozenblit and Richard Kinh Gian. Their work appears in journals such as Abdominal Radiology, Journal of the American College of Radiology, European Radiology, Radiology and Journal of Magnetic Resonance Imaging.

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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