Daniel R. Zwahlen

3.1k citations
102 papers · 1.7k indexed · h-index 24

Daniel R. Zwahlen

95 papers receiving 1.7k citations

Peers

Daniel R. Zwahlen
Comparison fields: 5 of 94
  • Radiation 610
  • Health Informatics 41
  • Pulmonary and Respiratory Medicine 880
  • Radiology, Nuclear Medicine and Imaging 461
  • Cancer Research 265
Replace Jee Suk Chang with:
Jee Suk Chang South Korea
Francesca Botta Italy
Juliane Hörner‐Rieber Germany
Ane Appelt United Kingdom
Gian Carlo Mattiucci Italy
Martin Housset France
Keiichi Jingu Japan
Shahed N. Badiyan United States
Raquibul Hannan United States
Sujay A. Vora United States
Daniel R. Zwahlen relative to Jee Suk Chang South Korea Jee Suk Chang's profile →
Citations per field
00.5×1.6×
Jee Suk Chang · 1×
Citations per year

Countries citing papers authored by Daniel R. Zwahlen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Zwahlen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20240
4 20234
5 20233
6 202326
7 20232
8 20223
9 202215
10 20225
11 20212
12 202122
13 202033
14 20206
15 20198
16 20196
17 20196
18 20177
19 201720
20 201528

About Daniel R. Zwahlen

Daniel R. Zwahlen is a scholar working on Radiation, Health Informatics and Pulmonary and Respiratory Medicine, having authored 102 papers that have together received 1.7k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (32 papers), Prostate Cancer Treatment and Research (30 papers), Advanced Radiotherapy Techniques (26 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Urologic and reproductive health conditions (7 papers), Head and Neck Cancer Studies (6 papers), Brain Metastases and Treatment (5 papers) and Testicular diseases and treatments (5 papers). The work is most often cited by research in Radiation (610 citations), Health Informatics (41 citations) and Pulmonary and Respiratory Medicine (880 citations). Daniel R. Zwahlen has collaborated with scholars based in Switzerland, Germany and Canada. Frequent co-authors include Uwe Schneider, Barbara Kaser‐Hotz, Dieter Ross, Paul Windisch, Jeremy Millar, Robert Förster, Jarad Martin, Katrin D. M. Stumpe, Matthias T. Wyss and Peter Chung. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Cancers, Radiation Oncology, Frontiers in Oncology and Journal of Clinical Oncology.

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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