Bob Löwenberg

73.5k total citations · 12 hit papers
534 papers, 35.9k citations indexed

About

Bob Löwenberg is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Bob Löwenberg has authored 534 papers receiving a total of 35.9k indexed citations (citations by other indexed papers that have themselves been cited), including 352 papers in Hematology, 166 papers in Molecular Biology and 110 papers in Oncology. Recurrent topics in Bob Löwenberg's work include Acute Myeloid Leukemia Research (295 papers), Hematopoietic Stem Cell Transplantation (92 papers) and Acute Lymphoblastic Leukemia research (70 papers). Bob Löwenberg is often cited by papers focused on Acute Myeloid Leukemia Research (295 papers), Hematopoietic Stem Cell Transplantation (92 papers) and Acute Lymphoblastic Leukemia research (70 papers). Bob Löwenberg collaborates with scholars based in Netherlands, United States and Germany. Bob Löwenberg's co-authors include Ruud Delwel, Peter J.M. Valk, Alan K. Burnett, Claudia Erpelinck-Verschueren, Gert J. Ossenkoppele, Pieter Sonneveld, Jan J. Cornelissen, Elihu H. Estey, James R. Downing and Miguel Á. Sanz and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Bob Löwenberg

528 papers receiving 35.0k citations

Hit Papers

Diagnosis and management of acute myeloid leukemia in ... 1999 2026 2008 2017 2009 2003 1999 2004 2001 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bob Löwenberg Netherlands 89 23.5k 14.3k 8.0k 6.5k 5.9k 534 35.9k
Elihu H. Estey United States 100 27.6k 1.2× 16.0k 1.1× 8.6k 1.1× 8.7k 1.3× 8.7k 1.5× 687 39.7k
Martin S. Tallman United States 92 23.3k 1.0× 14.9k 1.0× 6.6k 0.8× 9.1k 1.4× 7.0k 1.2× 716 34.8k
Marina Konopleva United States 94 15.6k 0.7× 15.8k 1.1× 7.9k 1.0× 4.3k 0.7× 5.9k 1.0× 917 30.5k
Clara D. Bloomfield United States 91 28.5k 1.2× 17.7k 1.2× 6.6k 0.8× 9.6k 1.5× 12.1k 2.1× 406 42.9k
Guillermo Garcia‐Manero United States 106 30.6k 1.3× 17.8k 1.2× 7.5k 0.9× 8.3k 1.3× 14.7k 2.5× 1.5k 44.1k
Andrea Biondi Italy 85 14.9k 0.6× 10.0k 0.7× 5.3k 0.7× 10.2k 1.6× 3.7k 0.6× 655 27.5k
Gerhard Ehninger Germany 78 13.6k 0.6× 6.1k 0.4× 6.5k 0.8× 3.8k 0.6× 5.2k 0.9× 678 25.0k
Francis J. Giles United States 105 20.4k 0.9× 15.0k 1.0× 9.3k 1.2× 4.8k 0.7× 15.8k 2.7× 786 41.9k
James D. Griffin United States 95 12.4k 0.5× 12.8k 0.9× 7.4k 0.9× 2.3k 0.4× 6.3k 1.1× 354 29.7k
Farhad Ravandi United States 90 24.8k 1.1× 13.0k 0.9× 7.5k 0.9× 9.3k 1.4× 10.4k 1.8× 1.3k 34.7k

Countries citing papers authored by Bob Löwenberg

Since Specialization
Citations

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

Fields of papers citing papers by Bob Löwenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bob Löwenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Bob Löwenberg. A scholar is included among the top collaborators of Bob Löwenberg 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 Bob Löwenberg. Bob Löwenberg 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.
Grob, Tim, Adil S. A. Al Hinai, Mathijs A. Sanders, et al.. (2022). Molecular characterization of mutant TP53 acute myeloid leukemia and high-risk myelodysplastic syndrome. Blood. 139(15). 2347–2354. 159 indexed citations breakdown →
3.
Dzneladze, Irakli, John F. Woolley, Meong Hi Son, et al.. (2015). INPP4B overexpression is associated with poor clinical outcome and therapy resistance in acute myeloid leukemia. Leukemia. 29(7). 1485–1495. 43 indexed citations
4.
Ossenkoppele, Gert J. & Bob Löwenberg. (2014). How I treat the older patient with acute myeloid leukemia. Blood. 125(5). 767–774. 146 indexed citations
5.
Walter, Roland B., Megan Othus, Alan K. Burnett, et al.. (2013). Significance of FAB subclassification of “acute myeloid leukemia, NOS” in the 2008 WHO classification: analysis of 5848 newly diagnosed patients. Blood. 121(13). 2424–2431. 78 indexed citations
6.
Vliet, Martin H. van, Jaap Brand, Henk E. Viëtor, et al.. (2013). Detection of CEBPA Double Mutants in Acute Myeloid Leukemia Using a Custom Gene Expression Array. Genetic Testing and Molecular Biomarkers. 17(5). 395–400. 4 indexed citations
7.
Vliet, Martin H. van, Erik Simons, Lars Bullinger, et al.. (2013). Detection of Mutant NPM1 mRNA in Acute Myeloid Leukemia Using Custom Gene Expression Arrays. Genetic Testing and Molecular Biomarkers. 17(4). 295–300. 4 indexed citations
8.
Jonge, Hendrik J.M. de, Peter J.M. Valk, Nic J.G.M. Veeger, et al.. (2010). High VEGFC expression is associated with unique gene expression profiles and predicts adverse prognosis in pediatric and adult acute myeloid leukemia. Blood. 116(10). 1747–1754. 74 indexed citations
10.
Döhner, Hartmut, Elihu H. Estey, Sergio Amadori, et al.. (2009). Diagnosis and management of acute myeloid leukemia in adults: recommendations from an international expert panel, on behalf of the European LeukemiaNet. Blood. 115(3). 453–474. 2350 indexed citations breakdown →
12.
14.
Raponi, Mitch, Jean‐Luc Harousseau, Jeffrey E. Lancet, et al.. (2007). Identification of Molecular Predictors of Response in a Study of Tipifarnib Treatment in Relapsed and Refractory Acute Myelogenous Leukemia. Clinical Cancer Research. 13(7). 2254–2260. 52 indexed citations
15.
Erkeland, Stefan J., Roel G.W. Verhaak, Peter J.M. Valk, et al.. (2006). Significance of Murine Retroviral Mutagenesis for Identification of Disease Genes in Human Acute Myeloid Leukemia. Cancer Research. 66(2). 622–626. 19 indexed citations
16.
Erpelinck-Verschueren, Claudia, Gorica Nikoloski, Bert A. van der Reijden, et al.. (2005). ID1 and ID2 are retinoic acid responsive genes and induce a G0/G1 accumulation in acute promyelocytic leukemia cells. Leukemia. 19(5). 799–805. 35 indexed citations
17.
Greef, Georgine E. de, Wim L.J. van Putten, Marc Boogaerts, et al.. (2004). Criteria for defining a complete remission in acute myeloid leukaemia revisited. An analysis of patients treated in HOVON‐SAKK co‐operative group studies. British Journal of Haematology. 128(2). 184–191. 44 indexed citations
19.
Löwenberg, Bob & Riccardo Ghio. (1977). An assay for serum cytotoxicity against erythroid precursor cells in pure red cell aplasia.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 27(8). 285–9. 8 indexed citations
20.
Vriesendorp, H. M., et al.. (1976). Influence of genetic resistance and silica particles on survival after bone marrow transplantation.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 8(3). 483–9. 12 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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