M. Roemeling-van Rhijn

864 total citations
16 papers, 653 citations indexed

About

M. Roemeling-van Rhijn is a scholar working on Genetics, Surgery and Cancer Research. According to data from OpenAlex, M. Roemeling-van Rhijn has authored 16 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 7 papers in Surgery and 4 papers in Cancer Research. Recurrent topics in M. Roemeling-van Rhijn's work include Mesenchymal stem cell research (13 papers), Tissue Engineering and Regenerative Medicine (7 papers) and MicroRNA in disease regulation (4 papers). M. Roemeling-van Rhijn is often cited by papers focused on Mesenchymal stem cell research (13 papers), Tissue Engineering and Regenerative Medicine (7 papers) and MicroRNA in disease regulation (4 papers). M. Roemeling-van Rhijn collaborates with scholars based in Netherlands, Spain and United Kingdom. M. Roemeling-van Rhijn's co-authors include Martin J. Hoogduijn, Carla C. Baan, Sander S. Korevaar, Michiel G.H. Betjes, Willem Weimar, F. Mensah, Jan N.M. IJzermans, Anja U. Engela, Marcella Franquesa and Ron W.F. de Bruin and has published in prestigious journals such as International Journal of Molecular Sciences, Kidney International and Frontiers in Immunology.

In The Last Decade

M. Roemeling-van Rhijn

16 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Roemeling-van Rhijn Netherlands 11 510 330 160 79 75 16 653
Meindert J. Crop Netherlands 12 648 1.3× 394 1.2× 220 1.4× 121 1.5× 89 1.2× 18 916
Jesús María Sierra-Párraga United Kingdom 9 385 0.8× 312 0.9× 174 1.1× 85 1.1× 50 0.7× 12 610
Tanja Strini Netherlands 8 404 0.8× 203 0.6× 178 1.1× 106 1.3× 78 1.0× 14 568
Przemyslaw Slowik Germany 10 346 0.7× 320 1.0× 102 0.6× 57 0.7× 57 0.8× 14 521
Eva M. Villarón Spain 13 597 1.2× 240 0.7× 232 1.4× 137 1.7× 122 1.6× 23 1.1k
Anja U. Engela Netherlands 8 349 0.7× 158 0.5× 94 0.6× 95 1.2× 72 1.0× 10 454
Steve Elliman Ireland 7 517 1.0× 239 0.7× 184 1.1× 117 1.5× 67 0.9× 9 671
Michelle M. Duffy Ireland 7 434 0.9× 191 0.6× 153 1.0× 208 2.6× 88 1.2× 7 667
S Witte Netherlands 9 721 1.4× 345 1.0× 263 1.6× 176 2.2× 114 1.5× 12 912
Tony Rossetti Australia 11 504 1.0× 435 1.3× 293 1.8× 128 1.6× 140 1.9× 16 923

Countries citing papers authored by M. Roemeling-van Rhijn

Since Specialization
Citations

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

Fields of papers citing papers by M. Roemeling-van Rhijn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Roemeling-van Rhijn. 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 M. Roemeling-van Rhijn. The network helps show where M. Roemeling-van Rhijn may publish in the future.

Co-authorship network of co-authors of M. Roemeling-van Rhijn

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

All Works

16 of 16 papers shown
1.
Trompet, Stella, Diana van Heemst, Frederiek van den Bos, et al.. (2023). The association of blood biomarkers with treatment response and adverse health outcomes in older patients with solid tumors: A systematic review. Journal of Geriatric Oncology. 14(7). 101567–101567. 3 indexed citations
2.
Pool, Merel B. F., Jesús María Sierra-Párraga, M. Roemeling-van Rhijn, et al.. (2019). Infusing Mesenchymal Stromal Cells into Porcine Kidneys during Normothermic Machine Perfusion: Intact MSCs Can Be Traced and Localised to Glomeruli. International Journal of Molecular Sciences. 20(14). 3607–3607. 48 indexed citations
3.
Pool, Merel B. F., M. Roemeling-van Rhijn, Marlies E. J. Reinders, et al.. (2017). Treating Ischemically Damaged Porcine Kidneys with Mesenchymal Stromal Cells During Normothermic Machine Perfusion. American Journal of Transplantation. 17. 282–282. 1 indexed citations
4.
Luk, Franka, S Witte, Sander S. Korevaar, et al.. (2016). Inactivated Mesenchymal Stem Cells Maintain Immunomodulatory Capacity. Stem Cells and Development. 25(18). 1342–1354. 108 indexed citations
5.
Hoogduijn, Martin J., Monique M.A. Verstegen, Anja U. Engela, et al.. (2014). No Evidence for Circulating Mesenchymal Stem Cells in Patients with Organ Injury. Stem Cells and Development. 23(19). 2328–2335. 54 indexed citations
6.
Korevaar, Sander S., M. Roemeling-van Rhijn, Thierry van den Bosch, et al.. (2014). Human renal tubular epithelial cells suppress alloreactive T cell proliferation. Clinical & Experimental Immunology. 179(3). 509–519. 11 indexed citations
7.
Rhijn, M. Roemeling-van, Meriem Khairoun, Sander S. Korevaar, et al.. (2014). Bone marrow and adipose tissue derived mesenchymal stromal cells have similar immunosuppressive capacities in vitro and in a humanized allograft rejection model. Transplant Immunology. 31(4). 246–246. 2 indexed citations
8.
Hoogduijn, Martin J., M. Roemeling-van Rhijn, Anja U. Engela, et al.. (2013). Mesenchymal Stem Cells Induce an Inflammatory Response After Intravenous Infusion. Stem Cells and Development. 22(21). 2825–2835. 103 indexed citations
9.
Rhijn, M. Roemeling-van, F. Mensah, Sander S. Korevaar, et al.. (2013). Effects of Hypoxia on the Immunomodulatory Properties of Adipose Tissue-Derived Mesenchymal Stem cells. Frontiers in Immunology. 4. 203–203. 110 indexed citations
10.
Rhijn, M. Roemeling-van, Annelies de Klein, Hannie Douben, et al.. (2013). Culture expansion induces non-tumorigenic aneuploidy in adipose tissue-derived mesenchymal stromal cells. Cytotherapy. 15(11). 1352–1361. 35 indexed citations
11.
Reinders, Marlies E. J., M. Roemeling-van Rhijn, Meriem Khairoun, et al.. (2013). Bone marrow-derived mesenchymal stromal cells from patients with end-stage renal disease are suitable for autologous therapy. Cytotherapy. 15(6). 663–672. 36 indexed citations
12.
Franquesa, Marcella, Carla C. Baan, Sander S. Korevaar, et al.. (2013). The effect of rabbit antithymocyte globulin on human mesenchymal stem cells. Transplant International. 26(6). 651–658. 7 indexed citations
13.
Rhijn, M. Roemeling-van, Marlies E. J. Reinders, Annelies de Klein, et al.. (2012). Mesenchymal stem cells derived from adipose tissue are not affected by renal disease. Kidney International. 82(7). 748–758. 45 indexed citations
14.
Hoogduijn, Martin J., M. Roemeling-van Rhijn, Anja U. Engela, et al.. (2012). Infusion of Syngeneic Mesenchymal Stem Cells Causes An Inflammatory Response Followed by Immune Suppression. Transplantation. 94(10S). 199–199. 1 indexed citations
15.
Hoogduijn, Martin J., M. Roemeling-van Rhijn, Sander S. Korevaar, et al.. (2011). Immunological Aspects of Allogeneic and Autologous Mesenchymal Stem Cell Therapies. Human Gene Therapy. 22(12). 1587–1591. 48 indexed citations
16.
Rhijn, M. Roemeling-van, Willem Weimar, & Martin J. Hoogduijn. (2011). Mesenchymal stem cells. Current Opinion in Organ Transplantation. 17(1). 55–62. 41 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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