Markus Schaich

13.7k total citations · 2 hit papers
116 papers, 6.1k citations indexed

About

Markus Schaich is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Markus Schaich has authored 116 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Hematology, 44 papers in Molecular Biology and 31 papers in Genetics. Recurrent topics in Markus Schaich's work include Acute Myeloid Leukemia Research (83 papers), Hematopoietic Stem Cell Transplantation (27 papers) and Chronic Myeloid Leukemia Treatments (25 papers). Markus Schaich is often cited by papers focused on Acute Myeloid Leukemia Research (83 papers), Hematopoietic Stem Cell Transplantation (27 papers) and Chronic Myeloid Leukemia Treatments (25 papers). Markus Schaich collaborates with scholars based in Germany, United States and France. Markus Schaich's co-authors include Gerhard Ehninger, Thomas Illmer, Christian Thiede, Martin Bornhäuser, Brigitte Mohr, Uwe Platzbecker, Christine Steudel, Ulrike Schäkel, Martin Wermke and Andreas Neubauer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Oncology.

In The Last Decade

Markus Schaich

112 papers receiving 6.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Analysis of FLT3-activating mutations in 979 patients with acute myelogenous leukemia: association with FAB subtypes and identification of subgroups with poor prognosis

2002 1.3k citations Christian Thiede, Christine Steudel et al. Blood profile →
Prevalence and prognostic impact of NPM1 mutations in 1485 adult patients with acute myeloid leukemia (AML)

2006 509 citations Christian Thiede, Sina Koch et al. Blood profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Schaich Germany	36	4.5k	2.1k	1.8k	1.4k	1.3k	116	6.1k
Ilene Galinsky United States	32	3.3k 0.7×	2.6k 1.2×	1.9k 1.1×	581 0.4×	969 0.7×	84	5.3k
Felicetto Ferrara Italy	37	3.9k 0.9×	2.6k 1.2×	1.0k 0.6×	1.6k 1.1×	1.1k 0.9×	196	5.7k
Matteo Giovanni Della Porta Italy	43	5.3k 1.2×	2.0k 0.9×	3.7k 2.1×	697 0.5×	795 0.6×	193	7.5k
David Bowen United Kingdom	36	4.4k 1.0×	2.1k 1.0×	1.7k 1.0×	862 0.6×	500 0.4×	132	5.4k
Norbert Gattermann Germany	44	5.6k 1.3×	2.1k 1.0×	3.7k 2.1×	561 0.4×	688 0.5×	256	7.2k
Luca Malcovati Italy	47	5.9k 1.3×	2.1k 1.0×	3.8k 2.2×	620 0.4×	574 0.4×	187	7.5k
Rami S. Komrokji United States	45	5.5k 1.2×	2.6k 1.2×	3.1k 1.7×	788 0.6×	1.2k 0.9×	584	7.5k
Mary Frances McMullin United Kingdom	43	4.2k 0.9×	3.6k 1.7×	4.4k 2.5×	455 0.3×	664 0.5×	215	7.5k
Eva Lengfelder Germany	34	2.6k 0.6×	2.0k 0.9×	1.6k 0.9×	709 0.5×	691 0.5×	95	4.2k
Wilson I. Gonsalves United States	33	1.8k 0.4×	2.0k 1.0×	696 0.4×	172 0.1×	1.2k 0.9×	236	3.4k

Countries citing papers authored by Markus Schaich

Since Specialization

Citations

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

Fields of papers citing papers by Markus Schaich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Schaich

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Schaich. A scholar is included among the top collaborators of Markus Schaich 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 Markus Schaich. Markus Schaich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Stölzel, Friedrich, Steffen Löck, Stefani Parmentier, et al.. (2019). The prevalence of extramedullary acute myeloid leukemia detected by ¹⁸FDG-PET/CT: final results from the prospective PETAML trial. Haematologica. 105(6). 1552–1558. 34 indexed citations

Bochtler, Tilmann, Friedrich Stölzel, Christoph E. Heilig, et al.. (2013). Clonal Heterogeneity As Detected by Metaphase Karyotyping Is an Indicator of Poor Prognosis in Acute Myeloid Leukemia. Journal of Clinical Oncology. 31(31). 3898–3905. 51 indexed citations

Stölzel, Friedrich, Brigitte Mohr, Michael Krämer, et al.. (2013). Karyotypic Complexity In Acute Myeloid Leukemia In The Context Of Adverse Prognosis. Blood. 122(21). 489–489. 1 indexed citations

Stölzel, Friedrich, Christoph Röllig, J. Radke, et al.. (2011). 18F-FDG-PET/CT for detection of extramedullary acute myeloid leukemia. Haematologica. 96(10). 1552–1556. 93 indexed citations

Schaich, Markus, Christoph Röllig, Silke Soucek, et al.. (2011). Cytarabine Dose of 36 g/m² Compared With 12 g/m² Within First Consolidation in Acute Myeloid Leukemia: Results of Patients Enrolled Onto the Prospective Randomized AML96 Study. Journal of Clinical Oncology. 29(19). 2696–2702. 67 indexed citations

Bornhäuser, Martin, et al.. (2011). The Hematopoietic Cell Transplantation-Specific Comorbidity Index Fails to Predict Outcomes in High-Risk AML Patients Undergoing Allogeneic Transplantation—Investigation of Potential Limitations of the Index. Biology of Blood and Marrow Transplantation. 17(12). 1822–1832. 30 indexed citations

Pfirrmann, Markus, Gerhard Ehninger, Christian Thiede, et al.. (2011). Prediction of post-remission survival in acute myeloid leukaemia: a post-hoc analysis of the AML96 trial. The Lancet Oncology. 13(2). 207–214. 44 indexed citations

Seifert, Hans‐Helge, Brigitte Mohr, Christian Thiede, et al.. (2009). The prognostic impact of 17p (p53) deletion in 2272 adults with acute myeloid leukemia. Leukemia. 23(4). 656–663. 115 indexed citations

Bonin, Malte von, Friedrich Stölzel, Katja Richter, et al.. (2008). Treatment of refractory acute GVHD with third-party MSC expanded in platelet lysate-containing medium. Bone Marrow Transplantation. 43(3). 245–251. 232 indexed citations

10.

Oelschlaegel, Uta, Sina Koch, Markus Schaich, et al.. (2008). A Rapid Flow Cytometric Method for the Detection of NPM1 Mutated Patients with Acute Myeloid Leukemia (AML).. Blood. 112(11). 1490–1490. 5 indexed citations

11.

Schaich, Markus, Markus Pfirrmann, Katja Robel, et al.. (2008). A MDR1 (ABCB1) gene single nucleotide polymorphism predicts outcome of temozolomide treatment in glioblastoma patients. Annals of Oncology. 20(1). 175–181. 111 indexed citations

12.

Julius, Ulrich, et al.. (2008). Immunogene Thrombozytopenie, Anämie und Leukopenie während Schwangerschaft: Erfolgreiche Extrakorporaltherapie mit Immunadsorption. DMW - Deutsche Medizinische Wochenschrift. 122(8). 220–224. 3 indexed citations

13.

Schaich, Markus & Gerhard Ehninger. (2006). Diagnostik und Therapie der akuten myeloischen Leukämie des Erwachsenen. Der Onkologe. 12(10). 1003–1011. 1 indexed citations

14.

Schaich, Markus, et al.. (2005). MDR1 and MRP1 gene expression are independent predictors for treatment outcome in adult acute myeloid leukaemia. British Journal of Haematology. 128(3). 324–332. 130 indexed citations

15.

Thiede, Christian, Sina Koch, Christine Steudel, et al.. (2005). Mutations of the Nucleophosmin (NPM1) Gene Are Common in Adult Acute Myeloid Leukemia and Associated with Favorable Prognosis If Present without FLT3-ITD Mutation.. Blood. 106(11). 224–224. 3 indexed citations

16.

Messerer, D., Jutta Engel, Joerg Hasford, et al.. (2005). Allogeneic Transplantation from an HLA-Matched Family Donor in First Complete Remission of Acute Myeloid Leukemia Had an Adverse Impact on Quality of Life in Patients Followed for at Least Five Years after Treatment: A Survey of the German AML Intergroup on 525 Patients.. Blood. 106(11). 747–747. 1 indexed citations

17.

Bornhäuser, Martin, Mathias Hänel, Markus Schaich, et al.. (2005). Graft clonogenicity and intensity of pre-treatment: factors affecting outcome of autologous peripheral hematopoietic cell transplantation in patients with acute myeloid leukemia in first remission. Bone Marrow Transplantation. 36(12). 1083–1088. 3 indexed citations

18.

Schaich, Markus, Ulrich Pascheberg, Brigitte Mohr, et al.. (2002). Association of specific cytogenetic aberrations with mdr1 gene expression in adult myeloid leukemia and its implication in treatment outcome.. PubMed. 87(5). 455–64. 16 indexed citations

19.

Bode, Antonio, et al.. (2001). Einsatz einer VR (Virtuelle Realität)-Software zur präoperativen Implantationsprüfung am Beispiel eines implantierbaren Hörgerätes. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 173(2). 103–108. 1 indexed citations

20.

Schaich, Markus, Thomas Illmer, Gabriele Seitz, et al.. (2001). The prognostic value of Bcl-XL gene expression for remission induction is influenced by cytogenetics in adult acute myeloid leukemia.. PubMed. 86(5). 470–7. 25 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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