G von Minckwitz

1.5k total citations
48 papers, 1.0k citations indexed

About

G von Minckwitz is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, G von Minckwitz has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 28 papers in Cancer Research and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in G von Minckwitz's work include Breast Cancer Treatment Studies (23 papers), Cancer Treatment and Pharmacology (15 papers) and Advanced Breast Cancer Therapies (14 papers). G von Minckwitz is often cited by papers focused on Breast Cancer Treatment Studies (23 papers), Cancer Treatment and Pharmacology (15 papers) and Advanced Breast Cancer Therapies (14 papers). G von Minckwitz collaborates with scholars based in Germany, United States and Switzerland. G von Minckwitz's co-authors include Sibylle Loibl, M. Kaufmann, Holger Eidtmann, Claus Hanusch, Sherko Kümmel, B. Gerber, K. Mehta, Martin Kaufmann, Helmut Ponta and Christian Jackisch and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

G von Minckwitz

44 papers receiving 980 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G von Minckwitz Germany 15 604 460 259 162 159 48 1.0k
Kenneth Villman Sweden 19 678 1.1× 318 0.7× 323 1.2× 91 0.6× 158 1.0× 33 1.1k
Akemi Kataoka Japan 21 680 1.1× 447 1.0× 425 1.6× 184 1.1× 99 0.6× 55 1.2k
Sergio Aguggini Italy 17 665 1.1× 709 1.5× 470 1.8× 140 0.9× 121 0.8× 34 1.3k
Yoshio Tanji Japan 13 745 1.2× 426 0.9× 372 1.4× 119 0.7× 133 0.8× 24 1.2k
Synnöve Staff Finland 20 429 0.7× 172 0.4× 454 1.8× 103 0.6× 85 0.5× 48 1.2k
Davendra Segara Australia 18 585 1.0× 520 1.1× 660 2.5× 152 0.9× 123 0.8× 27 1.4k
Akiyo Yoshimura Japan 18 508 0.8× 352 0.8× 377 1.5× 177 1.1× 93 0.6× 67 1.2k
Timothy McDonnell United States 12 406 0.7× 219 0.5× 343 1.3× 186 1.1× 52 0.3× 19 866
Ulla Johansson Sweden 16 598 1.0× 493 1.1× 272 1.1× 168 1.0× 110 0.7× 21 1.1k
Lola Anagnostaki Sweden 18 435 0.7× 314 0.7× 295 1.1× 162 1.0× 34 0.2× 38 861

Countries citing papers authored by G von Minckwitz

Since Specialization
Citations

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

Fields of papers citing papers by G von Minckwitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G von Minckwitz

This figure shows the co-authorship network connecting the top 25 collaborators of G von Minckwitz. A scholar is included among the top collaborators of G von Minckwitz 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 von Minckwitz. G von Minckwitz 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
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Nekljudova, Valentina, Carsten Denkert, G von Minckwitz, et al.. (2016). Abstract P3-07-28: BRCA1-like profile as predictive biomarker in non myeloablative chemotherapy (GAIN study). Cancer Research. 76(4_Supplement). P3–7. 1 indexed citations
3.
Branstetter, Daniel, Blake Mergler, S. Loibl, et al.. (2013). Abstract P1-08-25: RANK expression is prognostic and predictive in primary breast carcinoma: Analysis of samples from the GeparTrio study. Cancer Research. 73(24_Supplement). P1–8. 2 indexed citations
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Loibl, Sibylle, Christian Jackisch, Michael Untch, et al.. (2012). Abstract S3-1: Neoadjuvant Chemotherapy in the very young 35 years of age or younger. Cancer Research. 72(24_Supplement). S3–1. 13 indexed citations
6.
Minckwitz, G von, Jens‐Uwe Blohmer, Serban Dan Costa, et al.. (2011). S3-2: Neoadjuvant Chemotherapy Adapted by Interim Response Improves Overall Survival of Primary Breast Cancer Patients – Results of the GeparTrio Trial.. Cancer Research. 71(24_Supplement). S3–2. 28 indexed citations
7.
Witzel, Isabell, Sibylle Loibl, G von Minckwitz, et al.. (2010). Monitoring serum HER2 levels during neoadjuvant trastuzumab treatment within the GeparQuattro trial. Breast Cancer Research and Treatment. 123(2). 437–445. 37 indexed citations
8.
Noske, Aurelia, Sibylle Loibl, Silvia Darb‐Esfahani, et al.. (2010). Comparison of different approaches for assessment of HER2 expression on protein and mRNA level: prediction of chemotherapy response in the neoadjuvant GeparTrio trial (NCT00544765). Breast Cancer Research and Treatment. 126(1). 109–117. 47 indexed citations
9.
Sehouli, Jalid, et al.. (2010). Pegfilgrastim vs. Filgrastim zur Primärprophylaxe der febrilen Neutropenie bei Brustkrebspatientinnen nach Chemotherapie. DMW - Deutsche Medizinische Wochenschrift. 135(9). 385–389. 9 indexed citations
10.
Witzel, Isabell, Volkmar Müller, Sibylle Loibl, et al.. (2010). 12 Monitoring serum HER2 levels in the neoadjuvant “Geparquattro” trial – a decrease predicts pathological complete remission. European Journal of Cancer Supplements. 8(3). 61–61. 1 indexed citations
11.
Kusterer, Klaus, et al.. (2009). Macrophage and lymphocyte homing in experimental diabetes. Experimental and Clinical Endocrinology & Diabetes. 107(S 03). S102–S107.
13.
Minckwitz, G von, M. Kaufmann, Sherko Kümmel, et al.. (2009). Integrated meta-analysis on 6402 patients with early breast cancer receiving neoadjuvant anthracycline-taxane +/- trastuzumab containing chemotherapy.. Cancer Research. 69(2_Supplement). 79–79. 24 indexed citations
14.
Oskay-Özcelik, Gülten, Walter Lehmacher, Dominique Könsgen, et al.. (2007). Breast cancer patients' expectations in respect of the physician–patient relationship and treatment management results of a survey of 617 patients. Annals of Oncology. 18(3). 479–484. 76 indexed citations
15.
Rody, Achim, Uwe Holtrich, Christine Solbach, et al.. (2005). Methylation of estrogen receptor β promoter correlates with loss of ER-β expression in mammary carcinoma and is an early indication marker in premalignant lesions. Endocrine Related Cancer. 12(4). 903–916. 65 indexed citations
16.
Minckwitz, G von & Sibylle Loibl. (2005). In vivo chemosensitivity adapted preoperative chemotherapy in patients with early stage breast cancer: the Gepartrio pilot study. Annals of Oncology. 16(9). 1560–1561. 1 indexed citations
17.
Loibl, Sibylle, G von Minckwitz, Marc Roller, et al.. (2004). The role of early expression of inducible nitric oxide synthase in human breast cancer. European Journal of Cancer. 41(2). 265–271. 77 indexed citations
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Loibl, S., G von Minckwitz, & M. Kaufmann. (2002). Adjuvant hormone therapy following primary therapy for endometrial cancer. European Journal of Cancer. 38. 41–43. 2 indexed citations
20.
Costa, Serban Dan, G von Minckwitz, Günther Raab, et al.. (1999). The role of docetaxel (Taxotere) in neoadjuvant chemotherapy of breast cancer.. PubMed. 26(3 Suppl 9). 24–31. 33 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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