Viola Poeschel

3.9k citations
39 papers · 872 indexed · h-index 13

Impact in

Papers in

Viola Poeschel

36 papers receiving 861 citations

Peers

Viola Poeschel
Comparison fields: 5 of 64
  • Pathology and Forensic Medicine 707
  • Genetics 269
  • Oncology 459
  • Neurology 236
  • Radiology, Nuclear Medicine and Imaging 120
Replace Alden A. Moccia with:
Alden A. Moccia Switzerland
Maria Giuseppina Cabras Italy
Evelyn Kuhnt Germany
Igor Aurer Croatia
Niels Murawski Germany
Allison Crosby‐Thompson United States
Anton Kruger United Kingdom
Flavia Salvi Italy
Alessia Bari Italy
Eve Gallop‐Evans United Kingdom
Viola Poeschel relative to Alden A. Moccia Switzerland Alden A. Moccia's profile →
Citations per field
00.5×1.5×
Alden A. Moccia · 1×
Citations per year

Countries citing papers authored by Viola Poeschel

Since Specialization
Citations

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

Fields of papers citing papers by Viola Poeschel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 20242
4 20232
5 20231
6 20230
7 202120
8 20212
9 20217
10 202114
11 2020199
12 201830
13
Radiotherapy to bulky disease PET-negative after immunochemotherapy can be spared in elderly DLBCL patients: results of a planned interim analysis of the first 187 patients with bulky disease treated in the OPTIMAL > 60 study of the DSHNHL
20170
14 201546
15 201459
16 201448
17 20146
18 20141
19 20121
20 2012186

About Viola Poeschel

Viola Poeschel is a scholar working on Genetics, Pathology and Forensic Medicine, Neurology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 872 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (34 papers), Chronic Lymphocytic Leukemia Research (21 papers), CNS Lymphoma Diagnosis and Treatment (14 papers), Acute Lymphoblastic Leukemia research (5 papers), Viral-associated cancers and disorders (5 papers), Lung Cancer Treatments and Mutations (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (707 citations), Genetics (269 citations), Oncology (459 citations), Neurology (236 citations) and Radiology, Nuclear Medicine and Imaging (120 citations). Viola Poeschel has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Michael Pfreundschuh, Norbert Schmitz, Gerhard Held, Samira Zeynalova, Niels Murawski, Tanja Rixecker, Marita Ziepert, Marcel Reiser, Martin H. J. Wiesen and Carsten Zwick. Their work appears in journals such as Journal of Clinical Oncology, Blood, Annals of Oncology, International Journal of Radiation Oncology*Biology*Physics and Pharmacogenomics.

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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