Julius Chapiro

5.0k citations
144 papers · 3.1k indexed · 2 hit papers · h-index 30

Impact in

Papers in

Julius Chapiro

139 papers receiving 3.1k citations

Hit Papers

Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction 2022 · 119 citations
119201920262021202350100150200

Peers

Julius Chapiro
Comparison fields: 5 of 130
  • Hepatology 1.5k
  • Health Informatics 169
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Cancer Research 341
  • Oncology 544
Replace MingDe Lin with:
MingDe Lin United States
Lynn Jeanette Savic Germany
Todd Schlachter United States
Shi‐Ting Feng China
Dongsheng Gu China
M.M. Matuszak United States
Aniek J.G. Even Netherlands
Laurent Dercle United States
Ruud G.P.M. van Stiphout Netherlands
Clare Verrill United Kingdom
Julius Chapiro relative to MingDe Lin United States MingDe Lin's profile →
Citations per field
00.5×2.7×
MingDe Lin · 1×
Citations per year

Countries citing papers authored by Julius Chapiro

Since Specialization
Citations

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

Fields of papers citing papers by Julius Chapiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20248
4 20245
5 20233
6 202324
7 20227
8 20217
9 20218
10 20206
11 20207
12 202022
13 201953
14 20193
15
Minimally Invasive, Image-Guided Therapy for Liver Cancer: What Every Oncologist Needs to Know
20171
16 201625
17 201448
18 201422
19 201389
20 20014

About Julius Chapiro

Julius Chapiro is a scholar working on Hepatology, Health Informatics, Radiology, Nuclear Medicine and Imaging, Cancer Research and Oncology, having authored 144 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (100 papers), Radiomics and Machine Learning in Medical Imaging (44 papers), MRI in cancer diagnosis (39 papers), Liver Disease Diagnosis and Treatment (16 papers), Liver Disease and Transplantation (14 papers), Renal cell carcinoma treatment (13 papers), Cancer, Hypoxia, and Metabolism (13 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (10 papers). The work is most often cited by research in Hepatology (1.5k citations), Health Informatics (169 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations), Cancer Research (341 citations) and Oncology (544 citations). Julius Chapiro has collaborated with scholars based in United States, Germany and France. Frequent co-authors include MingDe Lin, Lynn Jeanette Savic, Rafael Durán, Jean-François H. Geschwind, Todd Schlachter, James S. Duncan, Rüdiger Schernthaner, Isabel Schobert, Brian Letzen and Clinton J. Wang. Their work appears in journals such as European Radiology, Journal of Vascular and Interventional Radiology, Radiology, CardioVascular and Interventional Radiology and Scientific Reports.

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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