G. Bastert

9.1k citations
216 papers · 5.3k indexed · 1 hit paper · h-index 37

G. Bastert

212 papers receiving 5.1k citations

Hit Papers

Reduction in New Metastases in Breast Cancer with Adjuvan...6271998202620072016200400600

Peers

G. Bastert
Comparison fields: 5 of 126
  • Oncology 2.8k
  • Cancer Research 1.1k
  • Obstetrics and Gynecology 347
  • Radiology, Nuclear Medicine and Imaging 970
  • Immunology 822
Replace Erich‐Franz Solomayer with:
Erich‐Franz Solomayer Germany
Davide Mauri Greece
Joachim Diebold Germany
Carlos Gamallo Spain
Nicolaì Maass Germany
I‐Tien Yeh United States
K.C. Allen Chan Hong Kong
Jerry A. Katzmann United States
Fon‐Jou Hsieh Taiwan
Maria De Santis Italy
G. Bastert relative to Erich‐Franz Solomayer Germany Erich‐Franz Solomayer's profile →
Citations per field
00.5×1.5×1.8×
Erich‐Franz Solomayer · 1×
Citations per year

Countries citing papers authored by G. Bastert

Since Specialization
Citations

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

Fields of papers citing papers by G. Bastert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2004103
2 200488
3 20028
4 20028
5 2001134
6 2001229
7 200061
8 199915
9
[Significance of myoma-induced complications in pregnancy. A comparative analysis of pregnancy course with and without myoma involvement].
199817
10 19954
11 19945
12 19942
13 199412
14
Dopplersonographie in der Gynäkologie und Geburtshilfe
19931
15 19916
16 19911
17
Cellular and genetic properties of two melanoma cell lines established from the same tumor.
19883
18 198822
19 19861
20 19811

About G. Bastert

G. Bastert is a scholar working on Obstetrics and Gynecology, Oncology and Cancer Research, having authored 216 papers that have together received 5.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (33 papers), Cancer Cells and Metastasis (22 papers), Cancer Treatment and Pharmacology (22 papers), HER2/EGFR in Cancer Research (16 papers), Immunotherapy and Immune Responses (14 papers), Cancer Diagnosis and Treatment (13 papers), Breast Lesions and Carcinomas (13 papers) and Estrogen and related hormone effects (11 papers). The work is most often cited by research in Oncology (2.8k citations), Cancer Research (1.1k citations) and Obstetrics and Gynecology (347 citations). G. Bastert has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ingo Diel, Erich‐Franz Solomayer, D. Wallwiener, Serban Dan Costa, Sepp Kaul, R. Goerner, Christina Gollan, M. Kaufmann, Manfred Kaufmann and Volker Schirrmacher. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, Archives of Gynecology and Obstetrics, International Journal of Cancer, European Journal of Cancer 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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