Hubert Serve
About
Hubert Serve is a scholar working on Hematology, Molecular Biology and Oncology.
According to data from OpenAlex, Hubert Serve has authored 299 papers receiving a total of 15.5k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Hematology, 140 papers in Molecular Biology and 81 papers in Oncology. Recurrent topics in Hubert Serve's work include Acute Myeloid Leukemia Research (114 papers), Chronic Myeloid Leukemia Treatments (49 papers) and Acute Lymphoblastic Leukemia research (37 papers). Hubert Serve is often cited by papers focused on Acute Myeloid Leukemia Research (114 papers), Chronic Myeloid Leukemia Treatments (49 papers) and Acute Lymphoblastic Leukemia research (37 papers). Hubert Serve collaborates with scholars based in Germany, United States and United Kingdom. Hubert Serve's co-authors include Wolfgang E. Berdel, Carsten Müller‐Tidow, Christian Brandts, Sven Diederichs, Ping Ji, Paul M. Schneider, Michael Thomas, Ralf Metzger, Etmar Bulk and Nicola Tidow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
In The Last Decade
Hubert Serve
287 papers receiving 15.3k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Hubert Serve Germany | 59 | 8.5k | 6.8k | 3.1k | 2.9k | 2.6k | 299 | 15.5k | ||
| Steven M. Kornblau United States | 69 | 8.3k 1.0× | 7.2k 1.1× | 3.4k 1.1× | 2.1k 0.7× | 2.6k 1.0× | 406 | 15.4k | ||
| Tomoki Naoe Japan | 56 | 8.1k 1.0× | 7.9k 1.2× | 2.9k 0.9× | 2.9k 1.0× | 2.7k 1.0× | 352 | 15.9k | ||
| Carsten Müller‐Tidow Germany | 64 | 11.4k 1.4× | 5.3k 0.8× | 4.3k 1.4× | 4.3k 1.5× | 1.8k 0.7× | 492 | 18.0k | ||
| Craig T. Jordan United States | 62 | 10.2k 1.2× | 6.6k 1.0× | 4.5k 1.5× | 3.6k 1.2× | 1.9k 0.7× | 237 | 17.3k | ||
| Edo Vellenga Netherlands | 72 | 7.6k 0.9× | 8.7k 1.3× | 5.3k 1.7× | 1.8k 0.6× | 2.7k 1.0× | 487 | 18.7k | ||
| Guido Marcucci United States | 77 | 14.3k 1.7× | 9.8k 1.4× | 3.1k 1.0× | 6.1k 2.1× | 3.2k 1.2× | 489 | 22.5k | ||
| Carlos E. Bueso‐Ramos United States | 59 | 5.8k 0.7× | 6.0k 0.9× | 3.0k 1.0× | 2.4k 0.8× | 4.3k 1.6× | 386 | 14.7k | ||
| Francesco Lo‐Coco Italy | 58 | 11.3k 1.3× | 11.2k 1.6× | 2.7k 0.9× | 2.2k 0.8× | 2.6k 1.0× | 276 | 18.0k | ||
| Michael Lübbert Germany | 60 | 7.4k 0.9× | 7.2k 1.1× | 2.0k 0.7× | 1.1k 0.4× | 2.2k 0.8× | 297 | 12.7k | ||
| Andrew H. Wei Australia | 43 | 7.4k 0.9× | 5.3k 0.8× | 2.8k 0.9× | 971 0.3× | 1.7k 0.6× | 258 | 11.7k |
Countries citing papers authored by Hubert Serve
Since
Specialization
Citations
This map shows the geographic impact of Hubert Serve'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 Hubert Serve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hubert Serve more than expected).
Fields of papers citing papers by Hubert Serve
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Hubert Serve. 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 Hubert Serve. The network helps show where Hubert Serve may publish in the future.
Co-authorship network of co-authors of Hubert Serve
This figure shows the co-authorship network connecting the top 25 collaborators of Hubert Serve. A scholar is included among the top collaborators of Hubert Serve 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 Hubert Serve. Hubert Serve is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Stasik, Sebastian, Jan‐Niklas Eckardt, Christoph Röllig, et al.. (2025). The IKZF1 N159S mutation is associated with poor outcome and a distinct molecular profile in adult patients with AML . British Journal of Haematology. 206(5). 1373–1379.
2.
Reck, Martin, Daniel Martín, Stefan Rieken, et al.. (2025). Efficacy and safety of immune checkpoint inhibition combined with concurrent chemoradiotherapy in patients with stage III unresectable non-small cell lung cancer: A systematic review and meta-analysis. European Journal of Cancer. 218. 115266–115266.
3.
Lang, Fabian, Andreas Voß, Guido Kobbe, et al.. (2025). Final analysis of the GMALL-PH-01 trial: phase II study of standard chemotherapy in combination with dasatinib in first line treatment of Philadelphia chromosome positive acute lymphoblastic leukemia. Leukemia & lymphoma. 66(6). 1079–1087.
4.
Chromik, Jörg, Sebastian Wolf, Julius C. Enßle, et al.. (2024). Real‐world effectiveness of first‐line azacitidine or decitabine with or without venetoclax in acute myeloid leukemia patients unfit for intensive therapy. European Journal Of Haematology. 113(5). 623–630.
5.
Röllig, Christoph, Christoph Schliemann, Leo Ruhnke, et al.. (2024). Gemtuzumab ozogamicin plus midostaurin in combination with standard ‘7 + 3’ induction therapy in newly diagnosed AML : Results from the SAL‐MODULE phase I study. British Journal of Haematology. 204(6). 2254–2258.
6.
Cremer, Anjali, Julius C. Enßle, Fabian Lang, et al.. (2023). Treatment with midostaurin and other FLT3 targeting inhibitors is associated with an increased risk of cardiovascular adverse events in patients who underwent allogeneic hematopoietic stem cell transplantation with FLT3-mutated AML. Annals of Hematology. 102(10). 2903–2908.
7.
Häupl, Björn, Dominik C. Fuhrmann, Frank Wempe, et al.. (2022). Identification of the Cysteine Protease Legumain as a Potential Chronic Hypoxia-Specific Multiple Myeloma Target Gene. Cells. 11(2). 292–292.
8.
Büttner, Stefan, Jan Stratmann, Uta Brunnberg, et al.. (2021). Acute kidney injury adversely affects the clinical course of acute myeloid leukemia patients undergoing induction chemotherapy. Annals of Hematology. 100(5). 1159–1167.
9.
Walker, Alison R., John C. Byrd, James S. Blachly, et al.. (2020). Entospletinib in Combination with Induction Chemotherapy in Previously Untreated Acute Myeloid Leukemia: Response and Predictive Significance of HOXA9 and MEIS1 Expression. Clinical Cancer Research. 26(22). 5852–5859.
10.
Lang, Fabian, Lydia Wunderle, Eberhard Schleyer, et al.. (2020). A phase I study of a dual PI3-kinase/mTOR inhibitor BEZ235 in adult patients with relapsed or refractory acute leukemia. BMC Pharmacology and Toxicology. 21(1). 70–70.
11.
Bohnenberger, Hanibal, Sebastian Mohr, Tobias Berg, et al.. (2015). Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors. Journal of Visualized Experiments.
12.
Kolodziej, Stephan, Olga N. Kuvardina, Thomas Oellerich, et al.. (2014). PADI4 acts as a coactivator of Tal1 by counteracting repressive histone arginine methylation. Nature Communications. 5(1). 3995–3995.
13.
Engelke, Michael, Thomas Oellerich, Kai Dittmann, et al.. (2013). Cutting Edge: Feed-Forward Activation of Phospholipase Cγ2 via C2 Domain–Mediated Binding to SLP65. The Journal of Immunology. 191(11). 5354–5358.
14.
Bäumer, Nicole, Lara Tickenbrock, Petra Tschanter, et al.. (2011). Inhibitor of Cyclin-dependent Kinase (CDK) Interacting with Cyclin A1 (INCA1) Regulates Proliferation and Is Repressed by Oncogenic Signaling. Journal of Biological Chemistry. 286(32). 28210–28222.
15.
Agrawal, Shuchi, Matthias Unterberg, Steffen Koschmieder, et al.. (2007). DNA Methylation of Tumor Suppressor Genes in Clinical Remission Predicts the Relapse Risk in Acute Myeloid Leukemia. Cancer Research. 67(3). 1370–1377.
16.
Steffen, Björn, Carsten Müller‐Tidow, Joachim Schwäble, Wolfgang E. Berdel, & Hubert Serve. (2005). The molecular pathogenesis of acute myeloid leukemia. Critical Reviews in Oncology/Hematology. 56(2). 195–221.
17.
Diederichs, Sven, Etmar Bulk, Björn Steffen, et al.. (2004). S100 Family Members and Trypsinogens Are Predictors of Distant Metastasis and Survival in Early-Stage Non-Small Cell Lung Cancer. Cancer Research. 64(16). 5564–5569.
18.
Mizuki, Masao, Joachim Schwäble, Chunaram Choudhary, et al.. (2003). Suppression of myeloid transcription factors and induction of STAT response genes by AML-specific Flt3 mutations. Blood. 101(8). 3164–3173.
19.
Tiesmeier, Jens, Andreas Czwalinna, Carsten Müller‐Tidow, et al.. (2003). Evidence for allelic evolution of C/EBPalpha mutations in acute myeloid leukaemia. British Journal of Haematology. 123(3). 413–419.
20.
Linggi, Bryan, Carsten Müller‐Tidow, Louis van de Locht, et al.. (2002). The t(8;21) fusion protein, AML1–ETO, specifically represses the transcription of the p14ARF tumor suppressor in acute myeloid leukemia. Nature Medicine. 8(7). 743–750.
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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