Stefan Glück

7.3k total citations
199 papers, 5.6k citations indexed

About

Stefan Glück is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Stefan Glück has authored 199 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Oncology, 71 papers in Cancer Research and 62 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Stefan Glück's work include Cancer Treatment and Pharmacology (70 papers), Breast Cancer Treatment Studies (61 papers) and HER2/EGFR in Cancer Research (49 papers). Stefan Glück is often cited by papers focused on Cancer Treatment and Pharmacology (70 papers), Breast Cancer Treatment Studies (61 papers) and HER2/EGFR in Cancer Research (49 papers). Stefan Glück collaborates with scholars based in United States, Canada and Germany. Stefan Glück's co-authors include Alberto J. Montero, Michael H. Antoni, Suzanne C. Lechner, Charles S. Carver, Soley Bayraktar, Bonnie B. Blomberg, Muaiad Kittaneh, Rachel Syme, Eli Avisar and Kristin Phillips and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Stefan Glück

192 papers receiving 5.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Glück United States 40 3.2k 1.2k 1.1k 1.0k 546 199 5.6k
Maryam B. Lustberg United States 40 4.0k 1.3× 953 0.8× 1.1k 1.0× 641 0.6× 631 1.2× 326 6.4k
Donn C. Young United States 42 1.8k 0.6× 1.2k 1.0× 1.1k 1.0× 766 0.8× 323 0.6× 137 5.7k
William P. Tew United States 44 3.3k 1.0× 1.1k 1.0× 1.6k 1.5× 694 0.7× 265 0.5× 217 9.3k
Noriyuki Katsumata Japan 38 2.8k 0.9× 776 0.7× 811 0.7× 708 0.7× 165 0.3× 183 5.7k
Paul Sabbatini United States 45 4.0k 1.3× 1.8k 1.5× 1.9k 1.7× 658 0.6× 369 0.7× 182 8.8k
David J. Vaughn United States 48 4.7k 1.5× 2.3k 2.0× 2.4k 2.1× 919 0.9× 290 0.5× 262 10.8k
Bryan P. Schneider United States 37 3.3k 1.1× 1.7k 1.4× 1.2k 1.1× 1.1k 1.1× 435 0.8× 165 6.3k
Andreas Obermair Australia 50 2.6k 0.8× 2.0k 1.7× 877 0.8× 1.7k 1.6× 198 0.4× 279 9.1k
Wim J. Sluiter Netherlands 55 1.6k 0.5× 2.2k 1.9× 1.4k 1.2× 752 0.7× 263 0.5× 252 9.8k
Martin D. Abeloff United States 41 3.1k 1.0× 1.5k 1.3× 988 0.9× 1.8k 1.8× 694 1.3× 119 6.4k

Countries citing papers authored by Stefan Glück

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Glück

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Glück

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Glück. A scholar is included among the top collaborators of Stefan Glück 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 Stefan Glück. Stefan Glück 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.
Parisi, Monika, Stefan Glück, Sungha Park, et al.. (2018). Comparative effectiveness of early-line nab-paclitaxel vs. paclitaxel in patients with metastatic breast cancer: a US community-based real-world analysis. SHILAP Revista de lepidopterología. 2 indexed citations
2.
3.
Bayraktar, Soley, Melanie Royce, Lisette Stork‐Sloots, Femke De Snoo, & Stefan Glück. (2014). Molecular subtyping predicts pathologic tumor response in early-stage breast cancer treated with neoadjuvant docetaxel plus capecitabine with or without trastuzumab chemotherapy. Medical Oncology. 31(10). 163–163. 14 indexed citations
4.
Han, Hyo S., Isildinha M. Reis, Wei Zhao, et al.. (2011). Racial differences in acute toxicities of neoadjuvant or adjuvant chemotherapy in patients with early-stage breast cancer. European Journal of Cancer. 47(17). 2537–2545. 51 indexed citations
5.
Castrellon, Aurelio & Stefan Glück. (2008). Adjuvant therapy for HER2 positive breast cancer: are anthracyclines still necessary?. PubMed. 6(9). 666–72. 5 indexed citations
6.
7.
Bewick, Mary A., et al.. (2004). Evaluation of sICAM-1, sVCAM-1, and sE-Selectin Levels in Patients with Metastatic Breast Cancer Receiving High-Dose Chemotherapy. Stem Cells and Development. 13(3). 281–294. 18 indexed citations
9.
Russell, Jeffrey A., Hai T. Tran, Diana Quinlan, et al.. (2002). Once-daily intravenous busulfan given with fludarabine as conditioning for allogeneic stem cell transplantation: Study of pharmacokinetics and early clinical outcomes. Biology of Blood and Marrow Transplantation. 8(9). 468–476. 220 indexed citations
10.
Syme, Rachel & Stefan Glück. (2001). Effects of Cytokines on the Culture and Differentiation of Dendritic Cells In Vitro. Journal of Hematotherapy & Stem Cell Research. 10(1). 43–51. 17 indexed citations
11.
Syme, Rachel, Peter Duggan, Doug Stewart, & Stefan Glück. (2001). Generation of Dendritic Cells Ex Vivo: Differences in Steady State Versus Mobilized Blood from Patients with Breast Cancer, with Lymphoma, and from Normal Donors. Journal of Hematotherapy & Stem Cell Research. 10(5). 621–630. 9 indexed citations
12.
Bewick, Mary A., et al.. (2001). Soluble Fas (CD95) Is a Prognostic Factor in Patients with Metastatic Breast Cancer Undergoing High-Dose Chemotherapy and Autologous Stem Cell Transplantation. Journal of Hematotherapy & Stem Cell Research. 10(6). 759–768. 24 indexed citations
13.
Syme, Rachel, et al.. (2001). Dendritic Cell-Based Therapy: A Review Focusing on Antigenic Selection. Journal of Hematotherapy & Stem Cell Research. 10(5). 601–608. 6 indexed citations
14.
Schimmer, Aaron D., Shahin Jamal, Hans A. Messner, et al.. (2000). Allogeneic or autologous bone marrow transplantation (BMT) for non-Hodgkin’s lymphoma (NHL): results of a provincial strategy. Bone Marrow Transplantation. 26(8). 859–864. 51 indexed citations
15.
Bewick, Mary A., Michael Conlon, Robert M. Lafrenie, et al.. (1999). Expression of C-erbB-2/HER-2 in patients with metastatic breast cancer undergoing high-dose chemotherapy and autologous blood stem cell support. Bone Marrow Transplantation. 24(4). 377–384. 23 indexed citations
16.
Wang, Zhixiang, Stefan Glück, Zhang Lian-feng, & Michael F. Moran. (1998). Requirement for Phospholipase C-γ1 Enzymatic Activity in Growth Factor-Induced Mitogenesis. Molecular and Cellular Biology. 18(1). 590–597. 92 indexed citations
17.
Glück, Stefan, et al.. (1997). High-dose chemotherapy followed by autologous blood cell transplantation: a safe and effective outpatient approach. Bone Marrow Transplantation. 20(6). 431–434. 35 indexed citations
18.
Passos‐Coelho, José Luís, John M. Davis, A M Huelskamp, et al.. (1996). Comparative Analysis of Breast Cancer Contamination in Mobilized and Nonmobilized Hematopoietic Grafts. Journal of Hematotherapy. 5(5). 549–552. 11 indexed citations
19.
Hortobágyi, Gabriel N., Lon A. Porter, R. Theriault, et al.. (1996). PP-8-9 Reduction of skeletal related complications in breast cancer patients with osteolytic bone metastases receiving chemotherapy (CT), by monthly pamidronate sodium (PAM) (AREDIA®) infusion. European Journal of Cancer. 32. 50–50. 1 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026