R. Schlenk

1.2k total citations
20 papers, 629 citations indexed

About

R. Schlenk is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, R. Schlenk has authored 20 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in R. Schlenk's work include Acute Myeloid Leukemia Research (7 papers), Acute Lymphoblastic Leukemia research (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). R. Schlenk is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Acute Lymphoblastic Leukemia research (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). R. Schlenk collaborates with scholars based in Germany, United States and Netherlands. R. Schlenk's co-authors include Konstanze Döhner, Hartmut Döhner, Markus Schaich, Gerhard Ehninger, Thomas Büchner, Arnold Ganser, Rainer Krahl, J Krauter, Cristina Sauerland and Dietger Niederwieser and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Annals of Oncology.

In The Last Decade

R. Schlenk

20 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Schlenk Germany 10 473 183 180 139 96 20 629
Susan R. Wiersma United States 13 260 0.5× 137 0.7× 175 1.0× 75 0.5× 78 0.8× 16 517
M Masi Italy 13 458 1.0× 218 1.2× 130 0.7× 105 0.8× 129 1.3× 26 597
MR Baer United States 11 569 1.2× 307 1.7× 194 1.1× 119 0.9× 88 0.9× 14 706
J O Moore United States 9 436 0.9× 148 0.8× 169 0.9× 126 0.9× 102 1.1× 9 600
Debora Capelli Italy 14 390 0.8× 175 1.0× 83 0.5× 133 1.0× 199 2.1× 27 542
M Cadiou France 11 476 1.0× 155 0.8× 251 1.4× 98 0.7× 195 2.0× 34 619
Eva Hoke United States 14 390 0.8× 183 1.0× 239 1.3× 157 1.1× 231 2.4× 22 662
April Sorrell United States 9 314 0.7× 114 0.6× 201 1.1× 105 0.8× 90 0.9× 18 498
Angeline Van Orshoven Belgium 15 488 1.0× 183 1.0× 152 0.8× 291 2.1× 75 0.8× 29 735
Samuel Kopel United States 8 369 0.8× 155 0.8× 179 1.0× 101 0.7× 197 2.1× 14 628

Countries citing papers authored by R. Schlenk

Since Specialization
Citations

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

Fields of papers citing papers by R. Schlenk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Schlenk

This figure shows the co-authorship network connecting the top 25 collaborators of R. Schlenk. A scholar is included among the top collaborators of R. Schlenk 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 R. Schlenk. R. Schlenk 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.
Horak, Peter, Simon Kreutzfeldt, Andreas Möck, et al.. (2019). Comprehensive genomic and transcriptomic profiling in advanced-stage cancers and rare malignancies: Clinical results from the MASTER trial of the German Cancer Consortium. Annals of Oncology. 30. vii24–vii24. 2 indexed citations
2.
Heilig, Christoph E., Daniel Hübschmann, Hans‐Georg Kopp, et al.. (2019). Randomized phase II study of trabectedin/olaparib compared to physician’s choice in subjects with previously treated advanced or recurrent solid tumors harboring dna repair deficiencies. Annals of Oncology. 30. v795–v796. 2 indexed citations
3.
Tausch, Eugen, R. Schlenk, Peter Hillmen, et al.. (2014). SF3B1 mutations and outcome in CLL patients treated with chlorambucil (CHL) or ofatumumab-CHL (O plus CHL): results from the phase III study complement 1 (OMB110911). Haematologica. 99. 522–523. 1 indexed citations
4.
Schroeder, Thomas, A. Kuendgen, Sabine Käyser, et al.. (2011). Therapy-related myeloid neoplasms following treatment with radioiodine. Haematologica. 97(2). 206–212. 25 indexed citations
5.
Rizzieri, David A., Utz Krug, R. Schlenk, et al.. (2011). A phase II study of elacytarabine plus idarubicin as second course remission-induction therapy in patients with acute myeloid leukemia.. Journal of Clinical Oncology. 29(15_suppl). TPS207–TPS207. 3 indexed citations
6.
Kündgen, Andrea, Nicolaus Kröger, Uwe Platzbecker, et al.. (2011). 103 Therapy-related myeloid neoplasms following treatment with radioiodine. Leukemia Research. 35. S39–S40. 2 indexed citations
7.
Seeringer, Angela, et al.. (2009). 9242 Pharmacogenetic factors in metabolism, transport and toxicity of cytarabine treatment in patients with AML. European Journal of Cancer Supplements. 7(2). 572–573. 3 indexed citations
8.
Messerer, D., Jutta Engel, Joerg Hasford, et al.. (2008). Impact of different post-remission strategies on quality of life in patients with acute myeloid leukemia. Haematologica. 93(6). 826–833. 51 indexed citations
9.
10.
Schlenk, R., Axel Benner, J Krauter, et al.. (2004). Individual Patient Data–Based Meta-Analysis of Patients Aged 16 to 60 Years With Core Binding Factor Acute Myeloid Leukemia: A Survey of the German Acute Myeloid Leukemia Intergroup. Journal of Clinical Oncology. 22(18). 3741–3750. 245 indexed citations
11.
12.
Marcucci, Guido, MA Caligiuri, H. Döhner, et al.. (2001). Quantification of CBFβ/MYH11 fusion transcript by Real Time RT-PCR in patients with INV(16) acute myeloid leukemia. Leukemia. 15(7). 1072–1080. 95 indexed citations
13.
Voso, Maria Teresa, Sylvia Martin, Stefan Hohaus, et al.. (2000). Prognostic factors for the clinical outcome of patients with follicular lymphoma following high-dose therapy and peripheral blood stem cell transplantation (PBSCT). Bone Marrow Transplantation. 25(9). 957–964. 38 indexed citations
14.
15.
Zimmermann, T, et al.. (1995). Prediction of phenotype for dextromethorphan O-demethylation by using polymerase chain reaction in healthy volunteers.. PubMed. 45(1). 41–3. 9 indexed citations
16.
Schlenk, R., A Wildfeuer, & O. Haferkamp. (1993). Identification of Legionella pneumophila in various specimens by the polymerase chain reaction.. PubMed. 43(11). 1249–52. 7 indexed citations
17.
Schlenk, R., et al.. (1992). Contact-induced neutrophil activation by platelets in human cell suspensions and whole blood. Blood. 80(5). 1238–1246. 65 indexed citations
18.
Schlenk, R., et al.. (1992). Contact-induced neutrophil activation by platelets in human cell suspensions and whole blood. Blood. 80(5). 1238–1246. 7 indexed citations
19.
Schmidt, G. D., R. Schlenk, & H. Seliger. (1988). The 4-Decyloxytrityl Group as an AID in the Affinity Chromatography of Synthetic Oligonucleotides. Nucleosides and Nucleotides. 7(5-6). 795–799. 2 indexed citations
20.
Schlenk, R., et al.. (1974). [Long-term study of the idiopathic nephrotic syndrome in childhood (67 children of the Pediatric clinic in Erlangen from 1948-1973) (author's transl)].. PubMed. 186(1). 3–8. 1 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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