Zwi Berneman

18.8k total citations · 3 hit papers
320 papers, 13.2k citations indexed

About

Zwi Berneman is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Zwi Berneman has authored 320 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Immunology, 90 papers in Oncology and 89 papers in Molecular Biology. Recurrent topics in Zwi Berneman's work include Immunotherapy and Immune Responses (101 papers), Immune Cell Function and Interaction (53 papers) and CAR-T cell therapy research (42 papers). Zwi Berneman is often cited by papers focused on Immunotherapy and Immune Responses (101 papers), Immune Cell Function and Interaction (53 papers) and CAR-T cell therapy research (42 papers). Zwi Berneman collaborates with scholars based in Belgium, Netherlands and United States. Zwi Berneman's co-authors include Dirk R. Van Bockstaele, Viggo Van Tendeloo, Katrien Vermeulen, Peter Ponsaerts, Evelien Smits, Sébastien Anguille, Eva Lion, Nathalie Cools, Wilfried Schroyens and Jan Michiels and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Zwi Berneman

315 papers receiving 12.9k citations

Hit Papers

The cell cycle: a review of regulation, deregulation and ... 2003 2026 2010 2018 2003 2014 2009 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The cell cycle: a review of regulation, deregulation and therapeutic targets in cancer
    2003 1.3k citations Zwi Berneman et al. profile →
  2. Clinical use of dendritic cells for cancer therapy
    2014 541 citations Sébastien Anguille, Evelien Smits et al. profile →
  3. Prevalence, determinants, and outcomes of nonadherence to imatinib therapy in patients with chronic myeloid leukemia: the ADAGIO study
    2009 463 citations Lucien Noens, Pierre Zachée et al. Blood profile →

Peers

Zwi Berneman
Ifor R. Williams United States
Tadashi Matsuda Japan
Giorgio Zauli Italy
Hiroshi Shiku Japan
Jonathan D. Powell United States
Clifford A. Lowell United States
Leonidas C. Platanias United States
Massimo Gadina United States
Geoffrey Neale United States
Ugo Testa Italy
Ifor R. Williams United States
Zwi Berneman
Citations per year, relative to Zwi Berneman Zwi Berneman (= 1×) peers Ifor R. Williams

Countries citing papers authored by Zwi Berneman

Since Specialization
Citations

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

Fields of papers citing papers by Zwi Berneman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zwi Berneman

This figure shows the co-authorship network connecting the top 25 collaborators of Zwi Berneman. A scholar is included among the top collaborators of Zwi Berneman 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 Zwi Berneman. Zwi Berneman 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
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Reu, Hans De, Diana Campillo-Davó, Yannick Willemen, et al.. (2023). In vitro expansion of Wilms’ tumor protein 1 epitope-specific primary T cells from healthy human peripheral blood mononuclear cells. STAR Protocols. 4(1). 102053–102053. 2 indexed citations
3.
Pintelon, Isabel, et al.. (2022). A Microfluidic In Vitro Three-Dimensional Dynamic Model of the Blood–Brain Barrier to Study the Transmigration of Immune Cells. Brain Sciences. 12(10). 1293–1293. 16 indexed citations
4.
Campillo-Davó, Diana, et al.. (2022). Engineering of regulatory T cells by means of mRNA electroporation in a GMP-compliant manner. Cytotherapy. 24(6). 659–672. 7 indexed citations
5.
Öner, Gizem, Sevilay Altıntaş, Zafer Cantürk, et al.. (2019). Triple‐negative breast cancer—Role of immunology: A systemic review. The Breast Journal. 26(5). 995–999. 41 indexed citations
6.
Acker, Heleen H. Van, Zoë P. Van Acker, Peter Ponsaerts, et al.. (2019). CD56 Homodimerization and Participation in Anti-Tumor Immune Effector Cell Functioning: A Role for Interleukin-15. Cancers. 11(7). 1029–1029. 8 indexed citations
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Mansilla, María José, Juan Navarro‐Barriuso, Nathalie Cools, et al.. (2016). Cryopreserved vitamin D3-tolerogenic dendritic cells pulsed with autoantigens as a potential therapy for multiple sclerosis patients. Journal of Neuroinflammation. 13(1). 113–113. 43 indexed citations
10.
Willekens, Barbara, Patrick Cras, Herman Goossens, et al.. (2016). Immunomodulatory Effects of 1,25-Dihydroxyvitamin D3on Dendritic Cells Promote Induction of T Cell Hyporesponsiveness to Myelin-Derived Antigens. Journal of Immunology Research. 2016. 1–16. 17 indexed citations
11.
Wens, Inez, Niel Hens, Benedicte Y. De Winter, et al.. (2016). 12 Weeks of Combined Endurance and Resistance Training Reduces Innate Markers of Inflammation in a Randomized Controlled Clinical Trial in Patients with Multiple Sclerosis. Mediators of Inflammation. 2016. 1–13. 50 indexed citations
12.
Wens, Inez, Niel Hens, Gudrun Koppen, et al.. (2015). Rapid Exercise‐Induced Mobilization of Dendritic Cells Is Potentially Mediated by a Flt3L‐ and MMP‐9‐Dependent Process in Multiple Sclerosis. Mediators of Inflammation. 2015(1). 158956–158956. 8 indexed citations
13.
Devos, Timothy, Pierre Zachée, Dominique Bron, et al.. (2014). Myelofibrosis patients in Belgium: disease characteristics. Acta Clinica Belgica. 70(2). 105–111. 6 indexed citations
14.
Ysebaert, Dirk, et al.. (2013). Dendritic Cells: Cellular Mediators for Immunological Tolerance. SHILAP Revista de lepidopterología. 2013. 1–8. 52 indexed citations
15.
Berneman, Zwi, et al.. (2013). Neuroendocrine Immunoregulation in Multiple Sclerosis. SHILAP Revista de lepidopterología. 2013. 1–23. 49 indexed citations
16.
Berneman, Zwi, et al.. (2008). Can cell therapy heal a spinal cord injury?. Spinal Cord. 46(8). 532–539. 49 indexed citations
17.
Ponsaerts, Peter, et al.. (2004). Highly Efficient mRNA-Based Gene Transfer in Feeder-Free Cultured H9 Human Embryonic Stem Cells. Cloning and Stem Cells. 6(3). 211–216. 16 indexed citations
18.
Michiels, Jan, Zwi Berneman, Wilfried Schroyens, & Gabriël P. Krestin. (2002). Bilateral adrenal swelling as a cause of chest, back, and upper abdominal pain in essential thrombocythemia and polycythemia vera is due to microvascular ischemic thrombosis rather than to hemorrhage. Annals of Hematology. 81(12). 691–694. 16 indexed citations
19.
Lemière, Filip, Walter Van Dongen, Koen Vanhoutte, et al.. (1999). Analysis of melphalan adducts of 2 '-deoxynucleotides in calf thymus DNA hydrolysates by capillary high-performance liquid chromatography-electrospray tandem mass spectrometry.. Ghent University Academic Bibliography (Ghent University). 14 indexed citations
20.

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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