Meinolf Suttorp

6.7k total citations
184 papers, 4.0k citations indexed

About

Meinolf Suttorp is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Meinolf Suttorp has authored 184 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Hematology, 81 papers in Genetics and 54 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Meinolf Suttorp's work include Chronic Myeloid Leukemia Treatments (92 papers), Chronic Lymphocytic Leukemia Research (58 papers) and Acute Lymphoblastic Leukemia research (50 papers). Meinolf Suttorp is often cited by papers focused on Chronic Myeloid Leukemia Treatments (92 papers), Chronic Lymphocytic Leukemia Research (58 papers) and Acute Lymphoblastic Leukemia research (50 papers). Meinolf Suttorp collaborates with scholars based in Germany, France and Netherlands. Meinolf Suttorp's co-authors include Frédéric Millot, Norbert Schmitz, Peter Dreger, Torsten Haferlach, H. Löffler, Nobuko Hijiya, Markus Metzler, Josephine T. Tauer, Ann Hunter and NH Russell and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Meinolf Suttorp

177 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meinolf Suttorp Germany 32 2.6k 1.2k 951 944 752 184 4.0k
Guido Kobbe Germany 40 3.8k 1.5× 1.3k 1.1× 961 1.0× 1.3k 1.4× 1.0k 1.4× 204 5.2k
Paolo de Fabritiis Italy 32 1.8k 0.7× 814 0.7× 381 0.4× 708 0.8× 570 0.8× 199 3.2k
Sally Arai United States 35 2.4k 0.9× 548 0.5× 1.5k 1.6× 1.2k 1.3× 505 0.7× 149 4.4k
Attilio Olivieri Italy 33 2.2k 0.9× 680 0.6× 801 0.8× 1.1k 1.2× 385 0.5× 156 3.6k
Shigeki Ohtake Japan 27 1.7k 0.7× 480 0.4× 389 0.4× 593 0.6× 787 1.0× 134 2.6k
Andrew M. Yeager United States 30 2.8k 1.1× 805 0.7× 689 0.7× 899 1.0× 888 1.2× 91 4.5k
G.J. Ossenkoppele Netherlands 34 1.6k 0.6× 677 0.6× 607 0.6× 1.1k 1.2× 481 0.6× 84 3.3k
Judith M. Chessells United Kingdom 35 2.1k 0.8× 656 0.5× 471 0.5× 459 0.5× 1.9k 2.5× 91 3.8k
Franklin O. Smith United States 37 2.9k 1.1× 660 0.5× 672 0.7× 1.2k 1.3× 1.8k 2.4× 121 5.3k
Paul Browne Ireland 26 1.3k 0.5× 956 0.8× 1.5k 1.5× 457 0.5× 335 0.4× 68 3.7k

Countries citing papers authored by Meinolf Suttorp

Since Specialization
Citations

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

Fields of papers citing papers by Meinolf Suttorp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meinolf Suttorp

This figure shows the co-authorship network connecting the top 25 collaborators of Meinolf Suttorp. A scholar is included among the top collaborators of Meinolf Suttorp 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 Meinolf Suttorp. Meinolf Suttorp 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.
Chen, Jing, Meinolf Suttorp, & Nobuko Hijiya. (2025). How I treat chronic myeloid leukemia in children and adolescents. Blood. 147(4). 379–389.
2.
Seiser, Eric, Yvonne Lisa Behrens, Axel Karow, et al.. (2025). Distribution of BCR::ABL1 Transcript Types and Response to Therapy in Pediatric Patients with Chronic Myeloid Leukemia. Journal of Molecular Diagnostics. 27(4). 282–291.
3.
Pichler, Herbert, Petr Sedláček, Roland Meisel, et al.. (2024). Haematopoietic stem cell transplantation after reduced intensity conditioning in children and adolescents with chronic myeloid leukaemia: A prospective multicentre trial of the I‐BFM Study Group. British Journal of Haematology. 205(1). 268–279. 3 indexed citations
4.
Krumbholz, Manuela, Anna Dolnik, Eric Sträng, et al.. (2024). A high proportion of germline variants in pediatric chronic myeloid leukemia. Molecular Cancer. 23(1). 206–206. 4 indexed citations
5.
6.
Friedrich, Ulrike, Arne Jahn, Carolin Walter, et al.. (2023). A clinical screening tool to detect genetic cancer predisposition in pediatric oncology shows high sensitivity but can miss a substantial percentage of affected children. Genetics in Medicine. 25(8). 100875–100875. 2 indexed citations
7.
8.
Krumbholz, Manuela, Desiree Grabow, Friederike Erdmann, et al.. (2022). Patient-reported long-term outcome following allogeneic hematopoietic stem cell transplantation in pediatric chronic myeloid leukemia. Frontiers in Oncology. 12. 963223–963223. 4 indexed citations
9.
Rouger, Jérémie, David Brossier, Meinolf Suttorp, et al.. (2022). Prevalence of anemia at diagnosis of pediatric chronic myeloid leukemia and prognostic impact on the disease course. Annals of Hematology. 102(3). 563–570. 4 indexed citations
10.
Güneş, Adalet Meral, Frédéric Millot, Krzysztof Kałwak, et al.. (2020). Features and outcome of chronic myeloid leukemia at very young age: Data from the International Pediatric Chronic Myeloid Leukemia Registry. Pediatric Blood & Cancer. 68(1). e28706–e28706. 10 indexed citations
11.
Rossoff, Jenna, Van Huynh, Rachel E. Rau, et al.. (2020). Experience with ponatinib in paediatric patients with leukaemia. British Journal of Haematology. 189(2). 363–368. 20 indexed citations
12.
Suttorp, Meinolf, Markus Metzler, & Frédéric Millot. (2020). Horn of plenty: Value of the international registry for pediatric chronic myeloid leukemia. World Journal of Clinical Oncology. 11(6). 308–319. 10 indexed citations
13.
Hijiya, Nobuko & Meinolf Suttorp. (2019). How I treat chronic myeloid leukemia in children and adolescents. Blood. 133(22). 2374–2384. 77 indexed citations
14.
Suttorp, Meinolf, Markus Metzler, Frédéric Millot, et al.. (2018). Generic formulations of imatinib for treatment of Philadelphia chromosome–positive leukemia in pediatric patients. Pediatric Blood & Cancer. 65(12). e27431–e27431. 10 indexed citations
15.
16.
Range, Ursula, et al.. (2017). Evaluation of Platelet Parameters in Children. Blood. 130. 4842–4842. 1 indexed citations
17.
Millot, Frédéric, Joëlle Guilhot, Meinolf Suttorp, et al.. (2017). Prognostic discrimination based on the EUTOS long-term survival score within the International Registry for Chronic Myeloid Leukemia in children and adolescents. Haematologica. 102(10). 1704–1708. 38 indexed citations
18.
Neuhoff, Nils von, et al.. (1998). Comparison of different strategies of molecular genetic monitoring following autologous stem cell transplantation in patients with follicular lymphoma. Bone Marrow Transplantation. 22(2). 161–166. 23 indexed citations
19.
20.
Suttorp, Meinolf, et al.. (1988). Der Einsatz des Broviac/Hickman-Katheters in der pädiatrischen Onkologie. Klinische Pädiatrie. 200(1). 49–56. 5 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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