Eva Brun

47 papers receiving 1.2k citations

Peers

Eva Brun
Comparison fields: 5 of 72
  • Otorhinolaryngology 332
  • Radiology, Nuclear Medicine and Imaging 335
  • Pathology and Forensic Medicine 204
  • Oncology 197
  • Obstetrics and Gynecology 53
Replace Sheila Rege with:
Sheila Rege United States
Simon Buus Denmark
B. Bridji France
J.J. Mazeron France
T F Pajak United States
J.M. Cosset France
Eugenio Borsatti Italy
Marcelo A. Queiroz Brazil
Roland Guttenberger Germany
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Eva Brun relative to Sheila Rege United States Sheila Rege's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eva Brun

Since Specialization
Citations

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

Fields of papers citing papers by Eva Brun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010254
2 2002226
3 1995112
4 2020107
5
2-Deoxy-2-[18F] fluoro-D-glucose uptake and correlation to intratumoral heterogeneity.
200769
6 199736
7 200734
8 201533
9 201524
10 200922
11 200120
12 200918
13 201515
14 200715
15 200113
16 200911
17 201811
18 201411
19 199511
20 200510

About Eva Brun

Eva Brun is a scholar working on Otorhinolaryngology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology and Pathology and Forensic Medicine, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (16 papers), Medical Imaging Techniques and Applications (8 papers), Lymphoma Diagnosis and Treatment (6 papers), Lung Cancer Treatments and Mutations (6 papers), Pain Management and Opioid Use (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Otorhinolaryngology (332 citations), Radiology, Nuclear Medicine and Imaging (335 citations), Pathology and Forensic Medicine (204 citations), Oncology (197 citations) and Obstetrics and Gynecology (53 citations). Eva Brun has collaborated with scholars based in Sweden, Qatar and Denmark. Frequent co-authors include Elisabeth Kjellén, Tomas Ohlsson, Johan Wennerberg, Jan Tennvall, Sven‐Erik Strand, A. Sandell, Roland Perfekt, Johan Wennerberg, Peter Wahlberg and Ulf K. Zätterström. Their work appears in journals such as Acta Oncologica, Head & Neck, Radiotherapy and Oncology, European Journal of Nuclear Medicine and Molecular Imaging 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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