Daniel Stocker

850 citations
46 papers · 604 indexed · h-index 15

Impact in

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 14
    • Liver Disease and Transplantation 4
    • MRI in cancer diagnosis 12
    • Radiomics and Machine Learning in Medical Imaging 11
    • Advanced MRI Techniques and Applications 5

Daniel Stocker

44 papers receiving 598 citations

Peers

Daniel Stocker
Comparison fields: 5 of 62
  • Hepatology 168
  • Radiology, Nuclear Medicine and Imaging 318
  • Health Informatics 12
  • Pulmonary and Respiratory Medicine 209
  • Epidemiology 142
Replace Yongyan Gao with:
Yongyan Gao China
Qing Xu China
Hong Ai China
Yongping Lu China
Si‐Min Ruan China
Verena Carola Obmann Switzerland
Sandeep Arora United States
Milena Cerny Canada
Mario Jreige Switzerland
Franck Vandenbroucke‐Menu Canada
Daniel Stocker relative to Yongyan Gao China Yongyan Gao's profile →
Citations per field
00.5×1.6×
Yongyan Gao · 1×
Citations per year

Countries citing papers authored by Daniel Stocker

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Stocker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202060
2 202042
3 201742
4 201736
5 201832
6 201830
7 202129
8 201625
9 202120
10 201919
11 201918
12 202218
13 202016
14 201916
15 202115
16 202213
17 202313
18 202012
19 202312
20 202211

About Daniel Stocker

Daniel Stocker is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Urology, Epidemiology and Rheumatology, having authored 46 papers that have together received 604 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (14 papers), MRI in cancer diagnosis (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Liver Disease Diagnosis and Treatment (9 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Advanced MRI Techniques and Applications (5 papers), Urinary Bladder and Prostate Research (4 papers) and Liver Disease and Transplantation (4 papers). The work is most often cited by research in Hepatology (168 citations), Radiology, Nuclear Medicine and Imaging (318 citations), Health Informatics (12 citations), Pulmonary and Respiratory Medicine (209 citations) and Epidemiology (142 citations). Daniel Stocker has collaborated with scholars based in Switzerland, United States and Spain. Frequent co-authors include Bachir Taouli, Stefanie J. Hectors, Olivio F. Donati, Anton S. Becker, Borna K. Barth, Octavia Bane, Cäcilia S. Reiner, Paul Kennedy, Sara Lewis and Daniela Said. Their work appears in journals such as European Radiology, Abdominal Radiology, European Journal of Radiology, Investigative Radiology and Appetite.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026