Kai Hübel

4.4k total citations · 1 hit paper
83 papers, 2.1k citations indexed

About

Kai Hübel is a scholar working on Oncology, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Kai Hübel has authored 83 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Oncology, 33 papers in Hematology and 29 papers in Pathology and Forensic Medicine. Recurrent topics in Kai Hübel's work include Lymphoma Diagnosis and Treatment (28 papers), Hematopoietic Stem Cell Transplantation (27 papers) and Neutropenia and Cancer Infections (16 papers). Kai Hübel is often cited by papers focused on Lymphoma Diagnosis and Treatment (28 papers), Hematopoietic Stem Cell Transplantation (27 papers) and Neutropenia and Cancer Infections (16 papers). Kai Hübel collaborates with scholars based in Germany, United States and Italy. Kai Hübel's co-authors include W. Conrad Liles, Andreas Engert, David C. Dale, Elin Rodger, Gary Bridger, Giao Hangoc, Hal E. Broxmeyer, Gary Calandra, Geoffrey Henson and Brent L. Wood and has published in prestigious journals such as Journal of Clinical Oncology, Blood and JNCI Journal of the National Cancer Institute.

In The Last Decade

Kai Hübel

77 papers receiving 2.0k citations

Hit Papers

Mobilization of hematopoietic progenitor cells in healthy... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Hübel Germany 23 935 847 589 387 235 83 2.1k
Hiroyuki Fujisaki Japan 24 1.0k 1.1× 603 0.7× 1.3k 2.2× 725 1.9× 264 1.1× 74 2.8k
N. Miyasaka Japan 25 406 0.4× 532 0.6× 939 1.6× 420 1.1× 225 1.0× 76 2.8k
Fumihiko Kimura Japan 21 438 0.5× 520 0.6× 781 1.3× 700 1.8× 208 0.9× 138 2.1k
Christophe Ferrand France 28 1.0k 1.1× 402 0.5× 1.3k 2.2× 595 1.5× 531 2.3× 103 2.8k
Hansjörg Schwertz United States 26 381 0.4× 1.2k 1.5× 617 1.0× 909 2.3× 310 1.3× 50 2.8k
Yoshiyuki Kosaka Japan 26 514 0.5× 1.3k 1.5× 476 0.8× 792 2.0× 128 0.5× 146 2.6k
Sarfraz Memon United States 18 611 0.7× 366 0.4× 1.1k 1.9× 370 1.0× 488 2.1× 31 2.0k
Wolfgang Oster Germany 28 760 0.8× 666 0.8× 791 1.3× 674 1.7× 108 0.5× 101 3.0k
Christopher Ocampo United States 17 578 0.6× 862 1.0× 349 0.6× 929 2.4× 132 0.6× 33 2.2k
Consuelo Blosch United States 8 485 0.5× 463 0.5× 571 1.0× 509 1.3× 116 0.5× 11 2.1k

Countries citing papers authored by Kai Hübel

Since Specialization
Citations

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

Fields of papers citing papers by Kai Hübel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Hübel

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Hübel. A scholar is included among the top collaborators of Kai Hübel 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 Kai Hübel. Kai Hübel 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.
Schmalzing, Marc, Oliver Sander, Reinhard Marks, et al.. (2024). Castleman’s disease in the rheumatological practice. Zeitschrift für Rheumatologie. 83(S3). 289–298.
2.
Hoffmann, Christian, Marcus Hentrich, Markus Tiemann, et al.. (2022). Recent Advances in Castleman Disease. Oncology Research and Treatment. 45(11). 693–704. 15 indexed citations
3.
Hübel, Kai. (2020). The Changing Landscape of Lymphoma Associated with HIV Infection. Current Oncology Reports. 22(11). 111–111. 15 indexed citations
4.
Mohty, Mohamad, Nabih Azar, Christian Chabannon, et al.. (2017). Plerixafor in poor mobilizers with non-Hodgkin’s lymphoma: a multi-center time-motion analysis. Bone Marrow Transplantation. 53(3). 246–254. 23 indexed citations
5.
Wuchter, Patrick & Kai Hübel. (2016). How to Find the Optimal Mobilisation Strategy – Impact, Challenges and Solutions. European Oncology & Haematology. 12(2). 87–87. 1 indexed citations
6.
7.
Kornblit, Brian, DG Maloney, Barry E. Storer, et al.. (2014). A randomized phase II trial of tacrolimus, mycophenolate mofetil and sirolimus after non-myeloablative unrelated donor transplantation. Haematologica. 99(10). 1624–1631. 28 indexed citations
8.
Vehreschild, Maria J. G. T., Jörg Janne Vehreschild, Kai Hübel, et al.. (2013). Diagnosis and management of gastrointestinal complications in adult cancer patients: evidence-based guidelines of the Infectious Diseases Working Party (AGIHO) of the German Society of Hematology and Oncology (DGHO). Annals of Oncology. 24(5). 1189–1202. 14 indexed citations
9.
Vater, Axel, Nicolaus Kröger, Stefan Zöllner, et al.. (2013). Hematopoietic Stem and Progenitor Cell Mobilization in Mice and Humans by a First-in-Class Mirror-Image Oligonucleotide Inhibitor of CXCL12. Clinical Pharmacology & Therapeutics. 94(1). 150–157. 63 indexed citations
10.
Rancea, Michaela, Nicole Skoetz, Ina Monsef, et al.. (2012). Fourteenth Biannual Report of the Cochrane Haematological Malignancies Group--Focus on Autologous Stem Cell Transplantation in Hematological Malignancies. JNCI Journal of the National Cancer Institute. 104(14). NP–NP. 3 indexed citations
11.
Worel, Nina, Jane F. Apperley, Grzegorz Basak, et al.. (2012). European data on stem cell mobilization with plerixafor in patients with nonhematologic diseases: an analysis of the European consortium of stem cell mobilization. Transfusion. 52(11). 2395–2400. 16 indexed citations
12.
Bauer, K. H., Michaela Rancea, Sabine Kluge, et al.. (2011). Thirteenth Biannual Report of the Cochrane Haematological Malignancies Group--Focus on Multiple Myeloma. JNCI Journal of the National Cancer Institute. 103(17). E1–E19. 4 indexed citations
13.
Cremer, Birgit, Brenda M. Sandmaier, Wolfgang Bethge, et al.. (2011). Reduced-Intensity Conditioning in Allogeneic Stem Cell Transplantation for Hematological Malignancies: A Historical Perspective. Onkologie. 34(12). 710–715. 5 indexed citations
14.
Malard, Florent, Nicolaus Kröger, Ian H Gabriel, et al.. (2011). Plerixafor for Autologous Peripheral Blood Stem Cell Mobilization in Patients Previously Treated with Fludarabine or Lenalidomide. Biology of Blood and Marrow Transplantation. 18(2). 314–317. 32 indexed citations
15.
16.
Hübel, Kai, W. Conrad Liles, Hal E. Broxmeyer, et al.. (2004). Leukocytosis and Mobilization of CD34+ Hematopoietic Progenitor Cells by AMD3100, a CXCR4 Antagonist. PubMed. 1(3). 165–172. 77 indexed citations
19.
Borchmann, Peter, R. Schnell, Jan Oliver Staak, et al.. (2001). Phase I study of BBR 2778, a new aza-anthracenedione, in advanced or refractory non-Hodgkin’s lymphoma. Annals of Oncology. 12(5). 661–667. 44 indexed citations
20.
Hübel, Kai, et al.. (2000). Use of G-CSF for granulocyte transfusion therapy. PubMed. 6(2). 89–95. 7 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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