Lutz Uharek

3.1k total citations
72 papers, 1.3k citations indexed

About

Lutz Uharek is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, Lutz Uharek has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Hematology, 35 papers in Immunology and 20 papers in Oncology. Recurrent topics in Lutz Uharek's work include Hematopoietic Stem Cell Transplantation (32 papers), Immune Cell Function and Interaction (21 papers) and Acute Myeloid Leukemia Research (14 papers). Lutz Uharek is often cited by papers focused on Hematopoietic Stem Cell Transplantation (32 papers), Immune Cell Function and Interaction (21 papers) and Acute Myeloid Leukemia Research (14 papers). Lutz Uharek collaborates with scholars based in Germany, United States and Italy. Lutz Uharek's co-authors include Matthias Zeis, Eckhard Thiel, Igor Wolfgang Blau, Norbert Schmitz, Carmen Scheibenbogen, Anne Marie Asemissen, Anne Letsch, Ulrich Keilholz, Antonia Busse and Wolf-Karsten Hofmann and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Scientific Reports.

In The Last Decade

Lutz Uharek

71 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lutz Uharek Germany 20 777 595 448 266 137 72 1.3k
Hans-G. Klingemann Canada 16 1.0k 1.3× 450 0.8× 733 1.6× 237 0.9× 86 0.6× 47 1.5k
João F. Lacerda Portugal 18 622 0.8× 533 0.9× 457 1.0× 215 0.8× 136 1.0× 59 1.4k
RA Nash United States 17 521 0.7× 948 1.6× 272 0.6× 130 0.5× 200 1.5× 33 1.4k
Andrew J. Nicol Australia 26 1.8k 2.3× 371 0.6× 997 2.2× 265 1.0× 237 1.7× 60 2.4k
Shotaro Iwamoto Japan 15 680 0.9× 294 0.5× 508 1.1× 266 1.0× 70 0.5× 65 1.2k
Sabine Huenecke Germany 19 711 0.9× 309 0.5× 504 1.1× 197 0.7× 143 1.0× 53 1.2k
Daniela Longoni Italy 22 782 1.0× 519 0.9× 271 0.6× 362 1.4× 188 1.4× 43 1.5k
Pedro Cano United States 19 740 1.0× 806 1.4× 159 0.4× 134 0.5× 102 0.7× 56 1.4k
F. García‐Sánchez Spain 17 420 0.5× 383 0.6× 218 0.5× 219 0.8× 132 1.0× 119 1000

Countries citing papers authored by Lutz Uharek

Since Specialization
Citations

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

Fields of papers citing papers by Lutz Uharek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lutz Uharek

This figure shows the co-authorship network connecting the top 25 collaborators of Lutz Uharek. A scholar is included among the top collaborators of Lutz Uharek 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 Lutz Uharek. Lutz Uharek 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.
Uharek, Lutz, et al.. (2015). Management of Chronic Myeloid Leukemia Patients Resistant to Tyrosine Kinase Inhibitors Treatment. Biomarker Insights. 10s3(Suppl 3). BMI.S22431–BMI.S22431. 9 indexed citations
2.
Hildebrandt, Martin, Karl S. Peggs, Lutz Uharek, Catherine M. Bollard, & Helen E. Heslop. (2014). Immunotherapy: opportunities, risks and future perspectives. Cytotherapy. 16(4). S120–S129. 8 indexed citations
3.
Uharek, Lutz, et al.. (2013). Genetically Modified T Cells for the Treatment of Malignant Disease. Transfusion Medicine and Hemotherapy. 40(6). 388–402. 19 indexed citations
4.
Wittenbecher, Friedrich, Kathrin Rieger, Igor Wolfgang Blau, et al.. (2013). Rabbit antithymocyte globulin induces rapid expansion of effector memory CD8 T cells without accelerating acute graft versus host disease. Leukemia Research Reports. 2(2). 82–85. 2 indexed citations
5.
Burmeister, Thomas, Mara Molkentin, Claus Meyer, et al.. (2012). Molecular monitoring of minimal residual disease in two patients with MLL-rearranged acute myeloid leukemia and haploidentical transplantation after relapse. Experimental Hematology and Oncology. 1(1). 6–6. 1 indexed citations
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Schmidt‐Hieber, Martin, Igor Wolfgang Blau, Gregor Richter, et al.. (2010). Cytogenetic studies in acute leukemia patients relapsing after allogeneic stem cell transplantation. Cancer Genetics and Cytogenetics. 198(2). 135–143. 13 indexed citations
9.
Nahmod, Karen, Mónica Vermeulen, Lutz Uharek, et al.. (2010). Impaired Function of Dendritic Cells Deficient in Angiotensin II Type 1 Receptors. Journal of Pharmacology and Experimental Therapeutics. 334(3). 854–862. 19 indexed citations
10.
Wendtner, Clemens‐Martin, Daruka Mahadevan, Stephan Stilgenbauer, et al.. (2008). Preliminary Results of a Phase 1/2, Multi-Center, Open-Label Study (CLL- 001) Investigating a Stepwise Dose-Escalation Schedule of Lenalidomide in Relapsed or Refractory Chronic Lymphocytic Leukemia.. Blood. 112(11). 2104–2104. 7 indexed citations
11.
Schmidt‐Hieber, Martin, Janine Zweigner, Lutz Uharek, Igor W. Blau, & Eckhard Thiel. (2008). Central nervous system infections in immunocompromised patients – update on diagnostics and therapy. Leukemia & lymphoma. 50(1). 24–36. 31 indexed citations
12.
Thiel, Eckhard, et al.. (2008). Treatment of Leukemic Meningeosis by CD 14 Depleted Adoptive Intrathecal Cell Therapy.. Blood. 112(11). 3261–3261. 1 indexed citations
13.
Passweg, Jakob, Ulrike Koehl, Lutz Uharek, Sandrine Meyer‐Monard, & André Tichelli. (2006). Natural-killer-cell-based treatment in haematopoietic stem-cell transplantation. Best Practice & Research Clinical Haematology. 19(4). 811–824. 50 indexed citations
14.
Rieger, Kathrin, Christoph Loddenkemper, Jochen Maul, et al.. (2005). Mucosal Foxp3 + Regulatory T Cells Show Significant Numerical Differences in Patients with Intestinal Graft-Versus-Host Disease Compared to Infectious Diseases of the Gut.. Blood. 106(11). 596–596. 1 indexed citations
15.
Schmidt‐Hieber, Martin, Thomas Fietz, Wolfgang Knauf, et al.. (2005). Efficacy of the interleukin‐2 receptor antagonist basiliximab in steroid‐refractory acute graft‐versus‐host disease. British Journal of Haematology. 130(4). 568–574. 58 indexed citations
16.
Penack, Olaf, Karl‐Jürgen Wolf, & Lutz Uharek. (2005). Air embolism simulating atypical pneumonia. British Journal of Haematology. 130(4). 468–468. 1 indexed citations
17.
18.
Zeis, Matthias, et al.. (2001). Graft-vs-leukemia activity and graft-vs-host disease induced by allogeneic Th1- and Th2-type CD4+ T cells in mice. The Hematology Journal. 2(2). 136–144. 14 indexed citations
19.
Glaß, Bertram, Lutz Uharek, Matthias Zeis, et al.. (1997). Allogeneic Peripheral Blood Progenitor Cell Transplantation in a Murine Model: Evidence for an Improved Graft-Versus-Leukemia Effect. Blood. 90(4). 1694–1700. 51 indexed citations
20.
Dreger, Peter, et al.. (1996). Allogeneic Peripheral Blood Progenitor Cells: Current Status and Future Directions. Journal of Hematotherapy. 5(4). 331–337. 9 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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