Fenja Seither

1.0k citations
13 papers · 123 · h-index 6

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • PARP inhibition in cancer therapy
    • Cancer Risks and Factors
    • HER2/EGFR in Cancer Research

Papers in

    • Cancer Risks and Factors 3
    • Cancer Treatment and Pharmacology 3
    • PARP inhibition in cancer therapy 2
    • Breast Cancer Treatment Studies 8

Fenja Seither

13 papers receiving 121 citations

Peers

Fenja Seither
Comparison fields: 5 of 22
  • Cancer Research 57
  • Oncology 75
  • Genetics 17
  • Pulmonary and Respiratory Medicine 18
  • Pathology and Forensic Medicine 8
Replace Kelly Marcom with:
Kelly Marcom United States
Lucia Mentuccia Italy
Nawal Kassem United States
Alfonso Sánchez Muñoz Spain
P. Hill Australia
Antonio Juan Ribelles Spain
Claire Sénéchal France
Filippo Giovanardi Italy
Maribel Casas Spain
Joe Costantino United States
Fenja Seither relative to Kelly Marcom United States Kelly Marcom's profile →
Citations per field
00.5×1.5×2.3×
Kelly Marcom · 1×
Citations per year

Countries citing papers authored by Fenja Seither

Since Specialization
Citations

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

Fields of papers citing papers by Fenja Seither

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201936
2 202321
3 202217
4 202014
5 202210
6 20197
7 20224
8 20194
9 20213
10 20203
11 20172
12 20211
13 20191

About Fenja Seither

Fenja Seither is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 13 papers that have together received 123 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (8 papers), Cancer Risks and Factors (3 papers), Breast Lesions and Carcinomas (3 papers), Cancer Treatment and Pharmacology (3 papers), Advanced Breast Cancer Therapies (3 papers), Multiple and Secondary Primary Cancers (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Cancer Research (57 citations), Oncology (75 citations), Genetics (17 citations), Pulmonary and Respiratory Medicine (18 citations) and Pathology and Forensic Medicine (8 citations). Fenja Seither has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Michael Untch, Sibylle Loibl, Valentina Nekljudova, Andreas Schneeweiß, Jens Huober, Jens‐Uwe Blohmer, Carsten Denkert, Christian Jackisch, Kerstin Rhiem and Peter A. Fasching. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, European Journal of Cancer, Annals of Oncology and npj Breast Cancer.

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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