Elwin Rombouts

3.0k total citations · 1 hit paper
17 papers, 1.8k citations indexed

About

Elwin Rombouts is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, Elwin Rombouts has authored 17 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 10 papers in Hematology and 6 papers in Molecular Biology. Recurrent topics in Elwin Rombouts's work include Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (4 papers) and T-cell and B-cell Immunology (4 papers). Elwin Rombouts is often cited by papers focused on Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (4 papers) and T-cell and B-cell Immunology (4 papers). Elwin Rombouts collaborates with scholars based in Netherlands, Germany and United States. Elwin Rombouts's co-authors include Rob E. Ploemacher, Jan J. Cornelissen, Hergen Spits, Bob Löwenberg, Kees Weijer, Willem E. Fibbe, Tom Cupedo, Natasha K. Crellin, Jane L. Grogan and Natalie Papazian and has published in prestigious journals such as Blood, Nature Immunology and The Journal of Immunology.

In The Last Decade

Elwin Rombouts

17 papers receiving 1.8k citations

Hit Papers

Human fetal lymphoid tissue–inducer cells are interleukin... 2008 2026 2014 2020 2008 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
Elwin Rombouts Netherlands 14 912 773 520 438 231 17 1.8k
Peggy Kirstetter France 12 602 0.7× 373 0.5× 854 1.6× 178 0.4× 85 0.4× 15 1.5k
Miriam Fogli Italy 17 744 0.8× 476 0.6× 419 0.8× 324 0.7× 103 0.4× 28 1.4k
Simonetta Rizzi Italy 21 334 0.4× 848 1.1× 362 0.7× 359 0.8× 99 0.4× 77 1.4k
Sabrina Moretti Italy 23 345 0.4× 280 0.4× 323 0.6× 234 0.5× 144 0.6× 59 1.3k
Jeff Grein United States 13 1.5k 1.7× 385 0.5× 499 1.0× 385 0.9× 110 0.5× 17 2.3k
Tracy Heng Australia 14 828 0.9× 191 0.2× 344 0.7× 305 0.7× 110 0.5× 21 1.4k
Guoguang Zheng China 22 611 0.7× 361 0.5× 610 1.2× 215 0.5× 40 0.2× 79 1.4k
Yaxian Kong China 16 805 0.9× 181 0.2× 346 0.7× 626 1.4× 98 0.4× 41 1.4k
Dengli Hong China 17 457 0.5× 516 0.7× 684 1.3× 303 0.7× 27 0.1× 30 1.5k
Francesca Bellora Italy 19 1.3k 1.5× 153 0.2× 348 0.7× 628 1.4× 101 0.4× 25 1.8k

Countries citing papers authored by Elwin Rombouts

Since Specialization
Citations

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

Fields of papers citing papers by Elwin Rombouts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elwin Rombouts

This figure shows the co-authorship network connecting the top 25 collaborators of Elwin Rombouts. A scholar is included among the top collaborators of Elwin Rombouts 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 Elwin Rombouts. Elwin Rombouts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 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.
Avellino, Roberto, Roger Mulet‐Lazaro, Marije Havermans, et al.. (2021). Induced cell-autonomous neutropenia systemically perturbs hematopoiesis in Cebpa enhancer-null mice. Blood Advances. 6(5). 1406–1419. 7 indexed citations
3.
Avellino, Roberto, Marije Havermans, Claudia Erpelinck-Verschueren, et al.. (2016). An autonomous CEBPA enhancer specific for myeloid-lineage priming and neutrophilic differentiation. Blood. 127(24). 2991–3003. 55 indexed citations
4.
Bindels, Eric M., Marije Havermans, Sanne Lugthart, et al.. (2012). EVI1 is critical for the pathogenesis of a subset of MLL-AF9–rearranged AMLs. Blood. 119(24). 5838–5849. 60 indexed citations
5.
Ackermann, Katrin, Victoria L. Revell, Óscar Lao, et al.. (2012). Diurnal Rhythms in Blood Cell Populations and the Effect of Acute Sleep Deprivation in Healthy Young Men. SLEEP. 35(7). 933–940. 88 indexed citations
6.
Wils, Evert‐Jan, Fatima Aerts‐Kaya, Elwin Rombouts, et al.. (2011). Keratinocyte Growth Factor and Stem Cell Factor to Improve Thymopoiesis after Autologous CD34+ Cell Transplantation in Rhesus Macaques. Biology of Blood and Marrow Transplantation. 18(1). 55–65. 21 indexed citations
7.
Wils, Evert‐Jan, Elwin Rombouts, Hergen Spits, et al.. (2011). Stem Cell Factor Consistently Improves Thymopoiesis after Experimental Transplantation of Murine or Human Hematopoietic Stem Cells in Immunodeficient Mice. The Journal of Immunology. 187(6). 2974–2981. 13 indexed citations
8.
Cupedo, Tom, Natasha K. Crellin, Natalie Papazian, et al.. (2008). Human fetal lymphoid tissue–inducer cells are interleukin 17–producing precursors to RORC+ CD127+ natural killer–like cells. Nature Immunology. 10(1). 66–74. 542 indexed citations breakdown →
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.
Rhenen, Anna van, Guus A.M.S. van Dongen, Elwin Rombouts, et al.. (2007). The novel AML stem cell–associated antigen CLL-1 aids in discrimination between normal and leukemic stem cells. Blood. 110(7). 2659–2666. 319 indexed citations
11.
Rhenen, Anna van, N Feller, Angèle Kelder, et al.. (2005). High Stem Cell Frequency in Acute Myeloid Leukemia at Diagnosis Predicts High Minimal Residual Disease and Poor Survival. Clinical Cancer Research. 11(18). 6520–6527. 272 indexed citations
12.
Ploemacher, Rob E., Kevin W. Johnson, Elwin Rombouts, et al.. (2004). Addition of treosulfan to a nonmyeloablative conditioning regimen results in enhanced chimerism and immunologic tolerance in an experimental allogeneic bone marrow transplant model. Biology of Blood and Marrow Transplantation. 10(4). 236–245. 40 indexed citations
13.
Rombouts, Elwin, et al.. (2004). Relation between CXCR-4 expression, Flt3 mutations, and unfavorable prognosis of adult acute myeloid leukemia. Blood. 104(2). 550–557. 222 indexed citations
14.
Cancelas, José A., et al.. (2000). Connexin-43 gap junctions are involved in multiconnexin-expressing stromal support of hemopoietic progenitors and stem cells. Blood. 96(2). 498–505. 78 indexed citations
15.
Cancelas, José A., et al.. (2000). Connexin-43 gap junctions are involved in multiconnexin-expressing stromal support of hemopoietic progenitors and stem cells. Blood. 96(2). 498–505. 33 indexed citations
16.
Rozemuller, Henk, Elwin Rombouts, Ivo P. Touw, et al.. (1997). Sensitivity of human acute myeloid leukaemia to diphtheria toxin‐GM‐CSF fusion protein. British Journal of Haematology. 98(4). 952–959. 5 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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