G. Bastert

96 papers receiving 1.2k citations

Peers

G. Bastert
Comparison fields: 5 of 105
  • Cancer Research 267
  • Oncology 348
  • Obstetrics and Gynecology 83
  • Statistics and Probability 98
  • Reproductive Medicine 67
Replace A. Akdaş with:
A. Akdaş Türkiye
R.D. Gelber Switzerland
E. Neely Atkinson United States
R Winn United States
B Chevallier France
Atreya Dash United States
Raymond S. Lance United States
Vernon Harvey New Zealand
V. Ravery France
Gennaro Daniele Italy
G. Bastert relative to A. Akdaş Türkiye A. Akdaş's profile →
Citations per field
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A. Akdaş · 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-authors

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

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994159
2 1994123
3 2000118
4 2008112
5 200078
6 199647
7 200442
8
Time independence of the prognostic impact of tumor cell detection in the bone marrow of primary breast cancer patients.
200140
9
Allelic imbalance on chromosome 13q: evidence for the involvement of BRCA2 and RB1 in sporadic breast cancer.
199635
10 200432
11 199727
12 200124
13 198024
14 200424
15 199821
16 200920
17
CD80-transfected human breast and ovarian tumor cell lines: improved immunogenicity and induction of cytolytic CD8+ T lymphocytes.
199516
18 199015
19 199913
20 200113

About G. Bastert

G. Bastert is a scholar working on Surgery, Oncology, Obstetrics and Gynecology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 107 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Gynecological conditions and treatments (9 papers), Cancer Diagnosis and Treatment (7 papers), Uterine Myomas and Treatments (6 papers), Preterm Birth and Chorioamnionitis (5 papers), Endometriosis Research and Treatment (5 papers), Ureteral procedures and complications (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Cancer Research (267 citations), Oncology (348 citations), Obstetrics and Gynecology (83 citations), Statistics and Probability (98 citations) and Reproductive Medicine (67 citations). G. Bastert has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Claudia Schmoor, Willi Sauerbrei, Martin Schumacher, Jenny Chang‐Claude, D. Wallwiener, M. Kaufmann, Heiko Becher, Nancy Eby, Hans Bojar and Erich‐Franz Solomayer. Their work appears in journals such as European Journal of Cancer, Journal of Clinical Oncology, Journal of Cancer Research and Clinical Oncology, Geburtshilfe und Frauenheilkunde and Ultraschall in der Medizin - European Journal of Ultrasound.

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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