Daniel Buergy

1.2k citations
51 papers · 954 · h-index 16

Impact in

  • Radiation top 5%
    • Advanced Radiotherapy Techniques
  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

Daniel Buergy

47 papers receiving 939 citations

Peers

Daniel Buergy
Comparison fields: 5 of 63
  • Radiation 226
  • Oncology 211
  • Cardiology and Cardiovascular Medicine 137
  • Cancer Research 66
  • Pulmonary and Respiratory Medicine 121
Replace Rebecca S. Slack Tidwell with:
Rebecca S. Slack Tidwell United States
Reinhilde Weytjens Belgium
Carlotta Becherini Italy
Hiroshi Doi Japan
Youlia M. Kirova France
Michelle A. Neben-Wittich United States
Xindong Sun China
Eduardo Jose Stefano Brazil
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Citations per field
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Rebecca S. Slack Tidwell · 1×
Citations per year

Countries citing papers authored by Daniel Buergy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Buergy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012309
2 202059
3 200953
4 202140
5 201335
6 201732
7 201231
8 202128
9 202327
10 202225
11 200922
12 201820
13 202120
14 201218
15 201517
16 202117
17 201816
18 202216
19 201914
20 201812

About Daniel Buergy

Daniel Buergy is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 51 papers that have together received 954 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (23 papers), Cardiac Arrhythmias and Treatments (7 papers), Brain Metastases and Treatment (5 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Management of metastatic bone disease (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Mobile Health and mHealth Applications (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Radiation (226 citations), Oncology (211 citations), Cardiology and Cardiovascular Medicine (137 citations), Cancer Research (66 citations) and Pulmonary and Respiratory Medicine (121 citations). Daniel Buergy has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Frederik K. Wenz, Christoph Groden, Marc Alexander Brockmann, Giridhar Mudduluru, Heike Allgayer, Frank Lohr, Judit Boda‐Heggemann, Frank Anton Giordano, Florian Stieler and Stefan Post. Their work appears in journals such as Radiation Oncology, Strahlentherapie und Onkologie, International Journal of Cancer, Physics and Imaging in Radiation Oncology and Radiotherapy and 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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