G. Bastert

9.1k total citations · 1 hit paper
216 papers, 5.3k citations indexed

About

G. Bastert is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, G. Bastert has authored 216 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Oncology, 43 papers in Cancer Research and 30 papers in Molecular Biology. Recurrent topics in G. Bastert's work include Breast Cancer Treatment Studies (33 papers), Cancer Cells and Metastasis (22 papers) and Cancer Treatment and Pharmacology (22 papers). G. Bastert is often cited by papers focused on Breast Cancer Treatment Studies (33 papers), Cancer Cells and Metastasis (22 papers) and Cancer Treatment and Pharmacology (22 papers). G. Bastert collaborates with scholars based in Germany, United States and Switzerland. G. Bastert's 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 and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

G. Bastert

212 papers receiving 5.1k citations

Hit Papers

Reduction in New Metastases in Breast Cancer with Adjuvan... 1998 2026 2007 2016 1998 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Bastert Germany 37 2.8k 1.1k 1.0k 970 822 216 5.3k
Erich‐Franz Solomayer Germany 36 3.2k 1.1× 1.4k 1.3× 981 1.0× 880 0.9× 464 0.6× 227 5.1k
Davide Mauri Greece 38 2.0k 0.7× 1.6k 1.5× 824 0.8× 736 0.8× 2.2k 2.6× 144 7.0k
Saroj Vadhan‐Raj United States 47 3.6k 1.3× 291 0.3× 1.3k 1.3× 567 0.6× 1.2k 1.4× 168 7.7k
Nicolaì Maass Germany 33 1.8k 0.6× 1.1k 1.0× 1.3k 1.3× 427 0.4× 416 0.5× 274 4.9k
Rupert Bartsch Austria 42 3.4k 1.2× 1.1k 1.0× 837 0.8× 1.1k 1.1× 408 0.5× 275 5.8k
John N. Lukens United States 39 1.5k 0.5× 984 0.9× 1.9k 1.8× 262 0.3× 763 0.9× 204 7.1k
Yoh Watanabe Japan 44 2.2k 0.8× 903 0.8× 1.5k 1.4× 469 0.5× 602 0.7× 294 7.3k
I‐Tien Yeh United States 42 1.3k 0.4× 1.5k 1.4× 1.2k 1.1× 401 0.4× 369 0.4× 114 4.5k
Estrid Høgdall Denmark 48 2.1k 0.7× 1.6k 1.5× 2.4k 2.3× 427 0.4× 660 0.8× 325 7.3k
Hans Erik Johnsen Denmark 44 2.3k 0.8× 554 0.5× 2.1k 2.0× 537 0.6× 2.1k 2.6× 261 7.1k

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 of co-authors of G. Bastert

This figure shows the co-authorship network connecting the top 25 collaborators of G. Bastert. A scholar is included among the top collaborators of G. Bastert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Bastert. G. Bastert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gückel, Brigitte, et al.. (2007). Antigen loading of dendritic cells with apoptotic tumor cell-preparations is superior to that using necrotic cells or tumor lysates.. PubMed. 27(4B). 2121–9. 20 indexed citations
2.
Beckhove, Philipp, Markus Feuerer, Florian Schuetz, et al.. (2004). Specifically activated memory T cell subsets from cancer patients recognize and reject xenotransplanted autologous tumors. Journal of Clinical Investigation. 114(1). 67–76. 103 indexed citations
3.
Rudlowski, Christian, Nicolaus Friedrichs, Andreé Faridi, et al.. (2004). Her-2/neu Gene Amplification and Protein Expression in Primary Male Breast Cancer. Breast Cancer Research and Treatment. 84(3). 215–223. 88 indexed citations
4.
Sinn, Hans‐Peter, Susanne Popp, Rüdiger Klaes, et al.. (2003). Breast cancer in young women (≤35 years): Genomic aberrations detected by comparative genomic hybridization. International Journal of Cancer. 107(4). 583–592. 43 indexed citations
5.
Schneeweiß, Andreas, M. Hensel, Hans‐Peter Sinn, et al.. (2002). Characteristics associated withlong-term progression-free survival following high-dose chemotherapyin metastatic breast cancer and influence of chemotherapy dose. Annals of Oncology. 13(5). 679–688. 8 indexed citations
6.
Hensel, Manfred, Andreas Schneeweiß, Hans‐Peter Sinn, et al.. (2002). Stem Cell Dose and Tumorbiologic Parameters as Prognostic Markers for Patients with Metastatic Breast Cancer Undergoing High-Dose Chemotherapy with Autologous Blood Stem Cell Support. Stem Cells. 20(1). 32–40. 8 indexed citations
7.
Feuerer, Markus, Philipp Beckhove, Lianhua Bai, et al.. (2001). Therapy of human tumors in NOD/SCID mice with patient-derived reactivated memory T cells from bone marrow. Nature Medicine. 7(4). 452–458. 229 indexed citations
8.
Feuerer, Markus, Marian Rocha, Lianhua Bai, et al.. (2001). Enrichment of memory T cells and other profound immunological changes in the bone marrow from untreated breast cancer patients. International Journal of Cancer. 92(1). 96–105. 134 indexed citations
9.
Maksan, Saša-Marcel, Thomas Lehnert, G. Bastert, & Christian Herfarth. (2000). Curative liver resection for metastatic breast cancer. European Journal of Surgical Oncology. 26(3). 209–212. 61 indexed citations
10.
Zhong, Xiao Yan, et al.. (1999). Analysis of sensitivity and specificity of cytokeratin 19 reverse transcriptase/polymerase chain reaction for detection of occult breast cancer in bone marrow and leukapheresis products. Journal of Cancer Research and Clinical Oncology. 125(5). 286–291. 20 indexed citations
11.
Aydeniz, B., et al.. (1998). [Significance of myoma-induced complications in pregnancy. A comparative analysis of pregnancy course with and without myoma involvement].. PubMed. 202(4). 154–8. 17 indexed citations
12.
Khazaeli, M.B., et al.. (1994). Production of Mouse Monoclonal Anti-Idiotypic Antibodies Specific to Epitopes of Tumor-Associated Mucin TAG-12. Hybridoma. 13(5). 389–396. 5 indexed citations
13.
Breitbach, G. P., et al.. (1994). Pharmakokinetik von Droloxifen im Vergleich zu Tamoxifen. Oncology Research and Treatment. 17(1). 49–53. 2 indexed citations
14.
Grischke, E.‐M., et al.. (1994). Angiogenesis as a Diagnostic Factor in Primary Breast Cancer: Microvessel Quantitation by Stereological Methods and Correlation with Color Doppler Sonography. Oncology Research and Treatment. 17(1). 35–42. 12 indexed citations
16.
Gauwerky, J. F. H., et al.. (1994). Surgery: Hydrosalpinx formation and its regeneration after microsurgical reconstruction—a functional and morphological study on rabbits. Human Reproduction. 9(11). 2090–2102. 1 indexed citations
17.
Stolz, W., et al.. (1993). Dopplersonographie in der Gynäkologie und Geburtshilfe. Thieme eBooks. 1 indexed citations
18.
Fournier, D. von, et al.. (1991). Die brusterhaltende Behandlung des Mammakarzinoms: Ergebnisse, Risiken, neue Entwicklungen. Geburtshilfe und Frauenheilkunde. 51(12). 959–968. 6 indexed citations
19.
Bastert, G., et al.. (1988). Gene Amplification and Expression of the <i>neu </i>(c-erbB-2) Sequence in Human Mammary Carcinoma. Oncology. 45(5). 360–363. 22 indexed citations
20.
Ludwig, C, et al.. (1988). Cellular and genetic properties of two melanoma cell lines established from the same tumor.. PubMed. 8(1). 9–16. 3 indexed citations

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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