G. Raab

848 citations
19 papers · 669 · h-index 7

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • Cancer Cells and Metastasis

Papers in

    • Breast Cancer Treatment Studies 12
    • Cancer Genomics and Diagnostics 2
    • Cancer Treatment and Pharmacology 7
    • HER2/EGFR in Cancer Research 2

G. Raab

18 papers receiving 641 citations

Peers

G. Raab
Comparison fields: 5 of 46
  • Cancer Research 420
  • Oncology 306
  • Pathology and Forensic Medicine 78
  • Pulmonary and Respiratory Medicine 64
  • Radiology, Nuclear Medicine and Imaging 45
Replace A.H. Tulusan with:
A.H. Tulusan Germany
S. Peter Eggleton Germany
Maik Hauschild Germany
Günther Raab Germany
Riccardo Giovanazzi Italy
Terumasa Sawada Japan
Natalia Krawczyk Germany
Kari Hale United States
T. Harbitz Norway
J. De Waal Germany
G. Raab relative to A.H. Tulusan Germany A.H. Tulusan's profile →
Citations per field
00.5×1.5×2.4×
A.H. Tulusan · 1×
Citations per year

Countries citing papers authored by G. Raab

Since Specialization
Citations

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

Fields of papers citing papers by G. Raab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2005327
2 2001119
3 200899
4
Pilot trial of trastuzumab starting with or after the doxorubicin component of a doxorubicin plus paclitaxel regimen for women with HER2-positive advanced breast cancer.
200344
5 199018
6 200317
7
The effect of tamoxifen and stilboestrol on plasma hormone levels in postmenopausal women with advanced breast cancer.
197912
8 20035
9 20075
10 20045
11 20014
12 20014
13 20043
14 20013
15 20011
16 20061
17 20041
18 20041
19 20090

About G. Raab

G. Raab is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Genetics and Molecular Biology, having authored 19 papers that have together received 669 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (12 papers), Cancer Treatment and Pharmacology (7 papers), Estrogen and related hormone effects (3 papers), Advanced Breast Cancer Therapies (3 papers), Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers), HER2/EGFR in Cancer Research (2 papers) and Porphyrin and Phthalocyanine Chemistry (1 paper). The work is most often cited by research in Cancer Research (420 citations), Oncology (306 citations), Pathology and Forensic Medicine (78 citations), Pulmonary and Respiratory Medicine (64 citations) and Radiology, Nuclear Medicine and Imaging (45 citations). G. Raab has collaborated with scholars based in Germany, Italy and Switzerland. Frequent co-authors include J. Hilfrich, Gϋnter von Minckwitz, Jens‐Uwe Blohmer, Holger Eidtmann, Serban Dan Costa, E. Merkle, Manfred Kaufmann, Christian Jackisch, Angelika Caputo and Dieter Lampe. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Cancer, Archives of Gynecology and Obstetrics, Breast Cancer Research and The Breast.

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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