Eva Berlin

462 citations
17 papers · 272 · 1 hit paper · h-index 6

Impact in

Papers in

Eva Berlin

14 papers receiving 268 citations

Eva Berlin's Hit Papers

Cardiovascular disease and cancer: shared risk factors and mechanisms 2024 · 168 citations
1680+1Years since publication50100150

Peers

Eva Berlin
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 67
  • Cancer Research 34
  • Oncology 42
  • Pathology and Forensic Medicine 25
  • Surgery 42
Replace Stefanie Bünger with:
Stefanie Bünger Germany
Carlo Materazzo Italy
Hannah Woopen Germany
Isabella Bisceglia Italy
Daan C.H. van Dorst Netherlands
Richard Partl Austria
Nickolas Stabellini Brazil
Naomi G. Dempsey United States
Sabine Balmer Majno Switzerland
Andrea Barina Italy
Eva Berlin relative to Stefanie Bünger Germany Stefanie Bünger's profile →
Citations per field
00.5×5×10×15×17.5×
Stefanie Bünger · 1×
Citations per year

Countries citing papers authored by Eva Berlin

Since Specialization
Citations

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

Fields of papers citing papers by Eva Berlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Cardiovascular disease and cancer: shared risk factors and mechanisms
Hit paper breakdown →
2024168
2 201829
3
Postmastectomy lymphoedema. Treatment and a five-year follow-up study.
199916
4 202316
5 202315
6 20256
7 20234
8 20233
9 20233
10 20233
11 20193
12 20233
13 20182
14 20221
15 20220
16 20190
17 20180

About Eva Berlin

Eva Berlin is a scholar working on Cancer Research, Obstetrics and Gynecology, Cardiology and Cardiovascular Medicine, Oncology and Surgery, having authored 17 papers that have together received 272 indexed citations. Recurring topics across this work include Chemotherapy-induced cardiotoxicity and mitigation (3 papers), Breast Cancer Treatment Studies (3 papers), Breast Implant and Reconstruction (2 papers), Breast Lesions and Carcinomas (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (67 citations), Cancer Research (34 citations), Oncology (42 citations), Pathology and Forensic Medicine (25 citations) and Surgery (42 citations). Eva Berlin has collaborated with scholars based in United States and Sweden. Frequent co-authors include Bonnie Ky, Nicholas S. Wilcox, Jacob B. Reibel, Richard Lorne Bakst, Manjeet Chadha, Christopher D. Mills, Nikhil Yegya‐Raman, Steven Joel Feigenberg, Lova Sun and Olav Thulesius. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Cancer, Advances in Radiation Oncology, Radiotherapy and Oncology and Nature Reviews Cardiology.

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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