Nicolaus Kröger
About
Nicolaus Kröger is a scholar working on Hematology, Oncology and Genetics.
According to data from OpenAlex, Nicolaus Kröger has authored 583 papers receiving a total of 17.0k indexed citations (citations by other indexed papers that have themselves been cited), including 465 papers in Hematology, 169 papers in Oncology and 136 papers in Genetics. Recurrent topics in Nicolaus Kröger's work include Hematopoietic Stem Cell Transplantation (311 papers), Acute Myeloid Leukemia Research (202 papers) and Chronic Myeloid Leukemia Treatments (106 papers). Nicolaus Kröger is often cited by papers focused on Hematopoietic Stem Cell Transplantation (311 papers), Acute Myeloid Leukemia Research (202 papers) and Chronic Myeloid Leukemia Treatments (106 papers). Nicolaus Kröger collaborates with scholars based in Germany, France and Italy. Nicolaus Kröger's co-authors include Mohamad Mohty, Axel R. Zander, Francis Ayuk, Tatjana Zabelina, Boris Fehse, Christine Wolschke, Arnon Nagler, William Krüger, Carlo Dufour and Helmut Renges and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.
In The Last Decade
Nicolaus Kröger
557 papers receiving 16.8k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Nicolaus Kröger Germany | 70 | 12.0k | 5.1k | 3.9k | 3.5k | 3.4k | 583 | 17.0k | ||
| Jakob Passweg Switzerland | 72 | 13.3k 1.1× | 6.1k 1.2× | 5.5k 1.4× | 3.1k 0.9× | 4.7k 1.4× | 497 | 21.0k | ||
| Mark R. Litzow United States | 70 | 11.9k 1.0× | 4.8k 0.9× | 4.9k 1.3× | 5.5k 1.6× | 2.3k 0.7× | 597 | 18.9k | ||
| John F. DiPersio United States | 70 | 12.0k 1.0× | 5.9k 1.2× | 3.2k 0.8× | 6.4k 1.9× | 5.1k 1.5× | 596 | 20.8k | ||
| André Tichelli Switzerland | 62 | 9.2k 0.8× | 3.3k 0.6× | 4.9k 1.3× | 2.8k 0.8× | 2.8k 0.8× | 331 | 14.0k | ||
| Gerhard Ehninger Germany | 78 | 13.6k 1.1× | 6.5k 1.3× | 5.2k 1.3× | 6.1k 1.8× | 4.3k 1.3× | 678 | 25.0k | ||
| Jeff Szer Australia | 58 | 8.4k 0.7× | 3.5k 0.7× | 3.2k 0.8× | 1.5k 0.4× | 4.8k 1.4× | 385 | 15.3k | ||
| Richard T. Maziarz United States | 59 | 7.5k 0.6× | 4.0k 0.8× | 2.5k 0.6× | 1.8k 0.5× | 2.6k 0.8× | 361 | 13.1k | ||
| Aloïs Gratwohl Switzerland | 80 | 17.1k 1.4× | 4.7k 0.9× | 4.8k 1.2× | 2.8k 0.8× | 5.7k 1.7× | 515 | 23.8k | ||
| Ted Gooley United States | 73 | 10.3k 0.9× | 4.9k 1.0× | 2.2k 0.6× | 1.9k 0.6× | 4.7k 1.4× | 322 | 18.3k | ||
| Brenda M. Sandmaier United States | 74 | 16.1k 1.3× | 5.4k 1.1× | 3.5k 0.9× | 2.1k 0.6× | 5.1k 1.5× | 421 | 21.8k |
Countries citing papers authored by Nicolaus Kröger
Since
Specialization
Citations
This map shows the geographic impact of Nicolaus Kröger'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 Nicolaus Kröger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolaus Kröger more than expected).
Fields of papers citing papers by Nicolaus Kröger
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Nicolaus Kröger. 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 Nicolaus Kröger. The network helps show where Nicolaus Kröger may publish in the future.
Co-authorship network of co-authors of Nicolaus Kröger
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolaus Kröger. A scholar is included among the top collaborators of Nicolaus Kröger 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 Nicolaus Kröger. Nicolaus Kröger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Esteve, Jordi, Arnon Nagler, Myriam Labopin, et al.. (2025). Allogeneic Hematopoietic Cell Transplantation in Patients With Acute Myeloid Leukemia With Myelodysplasia‐Related Genetic Features: Relevance of the Genetic Underlying Category. A Retrospective Analysis on Behalf of the Acute Leukemia Working Party of the EBMT . American Journal of Hematology. 100(6). 954–962.
2.
Penack, Olaf, Christophe Peczynski, Nicolaus Kröger, et al.. (2024). ATG or post-transplant cyclophosphamide to prevent GVHD in matched unrelated stem cell transplantation?. Leukemia. 38(5). 1156–1163.
3.
Passweg, Jakob, Helen Baldomero, Christian Chabannon, et al.. (2022). Impact of the SARS-CoV-2 pandemic on hematopoietic cell transplantation and cellular therapies in Europe 2020: a report from the EBMT activity survey. Bone Marrow Transplantation. 57(5). 742–752.
4.
Fehse, Boris, Nuray Akyüz, Maria Geffken, et al.. (2022). Molecular monitoring of T-cell kinetics and migration in severe neurotoxicity after real-world CD19-specific chimeric antigen receptor T cell therapy. Haematologica. 108(2). 444–456.
5.
Baron, Frédéric, Myriam Labopin, Jan J. Cornelissen, et al.. (2021). Comparison of long-term outcome for AML patients alive free of disease 2 years after allogeneic hematopoietic cell transplantation with umbilical cord blood versus unrelated donor: a study from the ALWP of the EBMT. Bone Marrow Transplantation. 56(11). 2742–2748.
6.
Ljungman, Per, Małgorzata Mikulska, Rafael de la Cámara, et al.. (2020). Correction: The challenge of COVID-19 and hematopoietic cell transplantation: EBMT recommendations for management of hematopoietic cell transplant recipients, their donors, and patients undergoing CAR T-cell therapy. Bone Marrow Transplantation. 56(3). 755–755.
7.
Fenk, Roland, Aristoteles Giagounidis, Hartmut Goldschmidt, et al.. (2020). Efficacy and Tolerability of High- versus Low-dose Lenalidomide Maintenance Therapy of Multiple Myeloma after Autologous Blood Stem Cell Transplantation. Clinical Cancer Research. 26(22). 5879–5886.
8.
Nagler, Arnon, Myriam Labopin, Bhagirathbhai Dholaria, et al.. (2020). Comparison of Haploidentical Bone Marrow versus Matched Unrelated Donor Peripheral Blood Stem Cell Transplantation with Posttransplant Cyclophosphamide in Patients with Acute Leukemia. Clinical Cancer Research. 27(3). 843–851.
9.
Minnema, Monique C., Kazem Nasserinejad, Bouke P. C. Hazenberg, et al.. (2019). Bortezomib-based induction followed by stem cell transplantation in light chain amyloidosis: results of the multicenter HOVON 104 trial. Haematologica. 104(11). 2274–2282.
10.
Gagelmann, Nico, Markus Ditschkowski, Swann Bredin, et al.. (2019). Comprehensive clinical-molecular transplant scoring system for myelofibrosis undergoing stem cell transplantation. Blood. 133(20). 2233–2242.
11.
Shouval, Roni, Myriam Labopin, Avichai Shimoni, et al.. (2015). Prediction of Allogeneic Hematopoietic Stem-Cell Transplantation Mortality 100 Days After Transplantation Using a Machine Learning Algorithm: A European Group for Blood and Marrow Transplantation Acute Leukemia Working Party Retrospective Data Mining Study. Journal of Clinical Oncology. 33(28). 3144–3151.
12.
Brammer, I., Andrea Pace, Gunter Schuch, et al.. (2014). Synergistic cytotoxic activity of treosulfan and gemcitabine in pancreatic cancer cell lines.. PubMed. 34(4). 1779–84.
13.
Klyuchnikov, Evgeny, Jean El Cheikh, Andreas Sputtek, et al.. (2013). CD34+-Selected Stem Cell Boost without Further Conditioning for Poor Graft Function after Allogeneic Stem Cell Transplantation in Patients with Hematological Malignancies. Biology of Blood and Marrow Transplantation. 20(3). 382–386.
14.
Alchalby, Haefaa, Tatjana Zabelina, Guido Kobbe, et al.. (2012). Risk models predicting survival after reduced‐intensity transplantation for myelofibrosis. British Journal of Haematology. 157(1). 75–85.
15.
Bishop, Michael, Edwin P. Alyea, Mitchell S. Cairo, et al.. (2011). National Cancer Institute’s First International Workshop on the Biology, Prevention, and Treatment of Relapse after Allogeneic Hematopoietic Stem Cell Transplantation: Summary and Recommendations from the Organizing Committee. Biology of Blood and Marrow Transplantation. 17(4). 443–454.
16.
Kröger, Nicolaus, Kais Hussein, Jérôme Schlué, et al.. (2010). Thrombospondin-1 (TSP-1) in primary myelofibrosis (PMF) — a megakaryocyte-derived biomarker which largely discriminates PMF from essential thrombocythemia. Annals of Hematology. 90(1). 33–40.
17.
Atanackovic, Djordje, Tim Luetkens, Jens Panse, et al.. (2008). CD4+CD25+FOXP3+ T regulatory cells reconstitute and accumulate in the bone marrow of patients with multiple myeloma following allogeneic stem cell transplantation. Haematologica. 93(3). 423–430.
18.
Lioznov, Michael, et al.. (2008). Transportation and cryopreservation may impair haematopoietic stem cell function and engraftment of allogeneic PBSCs, but not BM. Bone Marrow Transplantation. 42(2). 121–128.
19.
Onida, Francesco, R. Brand, Anja van Biezen, et al.. (2007). Effect of cytogenetics classification according to IPSS on the outcome of allogeneic HSCT from HLA-identical siblings in patients with MDS or secondary AML : a retrospective analysis from the EBMT-CLWP. Bone Marrow Transplantation. 39.
20.
Kröger, Nicolaus, Lloyd E. Damon, A R Zander, et al.. (2003). Secondary acute leukemia following mitoxantrone-based high-dose chemotherapy for primary breast cancer patients. Bone Marrow Transplantation. 32(12). 1153–1157.
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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