Eric Braakman

1.8k total citations
63 papers, 1.3k citations indexed

About

Eric Braakman is a scholar working on Immunology, Hematology and Oncology. According to data from OpenAlex, Eric Braakman has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Immunology, 27 papers in Hematology and 16 papers in Oncology. Recurrent topics in Eric Braakman's work include Immune Cell Function and Interaction (30 papers), Hematopoietic Stem Cell Transplantation (27 papers) and T-cell and B-cell Immunology (22 papers). Eric Braakman is often cited by papers focused on Immune Cell Function and Interaction (30 papers), Hematopoietic Stem Cell Transplantation (27 papers) and T-cell and B-cell Immunology (22 papers). Eric Braakman collaborates with scholars based in Netherlands, United States and Germany. Eric Braakman's co-authors include R. L. H. Bolhuis, Jan J. Cornelissen, Els Sturm, Bob Löwenberg, Bronno van der Holt, B.A. Van Krimpen, Annoek E. C. Broers, Francien T.M. Rotteveel, Gijs A. van Seventer and Paul Fisch and has published in prestigious journals such as Nature Communications, Blood and The Journal of Immunology.

In The Last Decade

Eric Braakman

61 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
Eric Braakman Netherlands 24 801 421 329 279 174 63 1.3k
Paulo Vidal Campregher Brazil 12 950 1.2× 569 1.4× 429 1.3× 323 1.2× 133 0.8× 57 1.7k
Ludger Große‐Hovest Germany 19 712 0.9× 655 1.6× 221 0.7× 282 1.0× 281 1.6× 46 1.2k
GJ Freeman United States 12 1.1k 1.3× 602 1.4× 329 1.0× 220 0.8× 106 0.6× 15 1.6k
Ingrid L. M. Wolvers‐Tettero Netherlands 18 771 1.0× 339 0.8× 235 0.7× 237 0.8× 80 0.5× 23 1.3k
G. Reisbach Germany 16 458 0.6× 511 1.2× 156 0.5× 258 0.9× 123 0.7× 26 1.1k
Robert Wasserman United States 18 945 1.2× 344 0.8× 537 1.6× 545 2.0× 314 1.8× 35 1.8k
Marilyn Thien Australia 7 856 1.1× 153 0.4× 242 0.7× 227 0.8× 209 1.2× 14 1.3k
José A. Brieva Spain 24 1.0k 1.3× 187 0.4× 199 0.6× 348 1.2× 125 0.7× 45 1.6k
Brigitte Birebent France 17 604 0.8× 258 0.6× 252 0.8× 249 0.9× 84 0.5× 33 1.1k
Stefan Wirths Germany 17 1.2k 1.5× 575 1.4× 219 0.7× 601 2.2× 217 1.2× 55 1.6k

Countries citing papers authored by Eric Braakman

Since Specialization
Citations

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

Fields of papers citing papers by Eric Braakman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Braakman

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Braakman. A scholar is included among the top collaborators of Eric Braakman 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 Eric Braakman. Eric Braakman 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.
Kenswil, Keane Jared Guillaume, et al.. (2021). Immune composition and its association with hematologic recovery after chemotherapeutic injury in acute myeloid leukemia. Experimental Hematology. 105. 32–38.e2. 3 indexed citations
2.
Kraal, Kathelijne C.J.M., Ilse Timmerman, Cor van den Bos, et al.. (2018). Peripheral Stem Cell Apheresis is Feasible Post 131Iodine-Metaiodobenzylguanidine-Therapy in High-Risk Neuroblastoma, but Results in Delayed Platelet Reconstitution. Clinical Cancer Research. 25(3). 1012–1021. 5 indexed citations
3.
Duinhouwer, Lucia, Nick Beije, Bronno van der Holt, et al.. (2018). Impaired thymopoiesis predicts for a high risk of severe infections after reduced intensity conditioning without anti-thymocyte globulin in double umbilical cord blood transplantation. Bone Marrow Transplantation. 53(6). 673–682. 6 indexed citations
4.
Aerts, Joachim G.J.V., Pauline L. de Goeje, Robin Cornelissen, et al.. (2017). Autologous Dendritic Cells Pulsed with Allogeneic Tumor Cell Lysate in Mesothelioma: From Mouse to Human. Clinical Cancer Research. 24(4). 766–776. 71 indexed citations
5.
Tüysüz, Nesrin, Louis van Bloois, Stieneke van den Brink, et al.. (2017). Lipid-mediated Wnt protein stabilization enables serum-free culture of human organ stem cells. Nature Communications. 8(1). 14578–14578. 59 indexed citations
6.
Aerts, Joachim G.J.V., Robin Cornelissen, Cor van der Leest, et al.. (2017). OA13.06 Autologous Dendritic Cells Loaded with Allogeneic Tumor Cell Lysate (Pheralys®) in Patients with Mesothelioma: Final Results of a Phase I Study. Journal of Thoracic Oncology. 12(1). S295–S295. 5 indexed citations
7.
Lamers, C. B. H. W., Rebecca Wijers, Cornelis A.M. van Bergen, et al.. (2016). CD4+ T-cell alloreactivity toward mismatched HLA class II alleles early after double umbilical cord blood transplantation. Blood. 128(17). 2165–2174. 24 indexed citations
8.
Bruinsma, Marieke, P. L. van Soest, Pieter J. M. Leenen, et al.. (2007). Keratinocyte Growth Factor Induces Expansion of Murine Peripheral CD4+Foxp3+ Regulatory T Cells and Increases Their Thymic Output. The Journal of Immunology. 179(11). 7424–7430. 19 indexed citations
9.
Wils, Evert‐Jan, Eric Braakman, Georges M. G. M. Verjans, et al.. (2007). Flt3 Ligand Expands Lymphoid Progenitors Prior to Recovery of Thymopoiesis and Accelerates T Cell Reconstitution after Bone Marrow Transplantation. The Journal of Immunology. 178(6). 3551–3557. 34 indexed citations
10.
11.
Broers, Annoek E. C., Sandra J. Posthumus-van Sluijs, Hergen Spits, et al.. (2003). Interleukin-7 improves T-cell recovery after experimental T-cell–depleted bone marrow transplantation in T-cell–deficient mice by strong expansion of recent thymic emigrants. Blood. 102(4). 1534–1540. 50 indexed citations
12.
13.
Beusechem, Victor W. van, et al.. (1993). Retrovirus-Mediated Gene Transfer into Rhesus Monkey Hematopoietic Stem Cells: The Effect of Viral Titers on Transduction Efficiency. Human Gene Therapy. 4(3). 239–247. 28 indexed citations
14.
Braakman, Eric, Jan G. J. van de Winkel, B.A. Van Krimpen, Margriet Jansze, & R. L. H. Bolhuis. (1992). CD16 on human γδ T lymphocytes: Expression, function, and specificity for mouse IgG isotypes. Cellular Immunology. 143(1). 97–107. 62 indexed citations
15.
Bolhuis, R. L. H., Els Sturm, & Eric Braakman. (1991). T cell targeting in cancer therapy. Cancer Immunology Immunotherapy. 34(1). 1–8. 27 indexed citations
16.
Braakman, Eric, Els Sturm, Kitty Vijverberg, et al.. (1991). Expression of CD45 isoforms by fresh and activated human γδ T lymphocytes and natural killer cells. International Immunology. 3(7). 691–697. 32 indexed citations
17.
18.
Rotteveel, Francien T.M., et al.. (1988). Recognition of influenza virus-infected B-cell lines by human influenza virus-specific CTL. Cellular Immunology. 111(2). 473–481. 5 indexed citations
19.
Bolhuis, R. L. H. & Eric Braakman. (1988). Lymphocyte-mediated responses: activation of, and lysis by, cytotoxic lymphocytes. Current Opinion in Immunology. 1(2). 236–240. 4 indexed citations
20.
Braakman, Eric, et al.. (1987). Are MHC class II-restricted cytotoxic T lymphocytes important?. Immunology Today. 8(9). 265–267. 83 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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