Robert Rieben

5.6k total citations
149 papers, 3.8k citations indexed

About

Robert Rieben is a scholar working on Surgery, Immunology and Hematology. According to data from OpenAlex, Robert Rieben has authored 149 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Surgery, 43 papers in Immunology and 30 papers in Hematology. Recurrent topics in Robert Rieben's work include Xenotransplantation and immune response (45 papers), Organ Transplantation Techniques and Outcomes (21 papers) and Blood groups and transfusion (20 papers). Robert Rieben is often cited by papers focused on Xenotransplantation and immune response (45 papers), Organ Transplantation Techniques and Outcomes (21 papers) and Blood groups and transfusion (20 papers). Robert Rieben collaborates with scholars based in Switzerland, Germany and United States. Robert Rieben's co-authors include Yara Banz, Jörg D. Seebach, Urs E. Nydegger, Nicolai V. Bovin, Paul Mohaçsi, Caroline Tinguely, Esther Vögelin, Anjan K. Bongoni, Mohamed R. Daha and Anja Roos and has published in prestigious journals such as Nature Communications, Blood and The Journal of Immunology.

In The Last Decade

Robert Rieben

143 papers receiving 3.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert Rieben 1.7k 927 656 646 505 149 3.8k
Reza Abdi 2.0k 1.2× 2.0k 2.2× 1.7k 2.5× 885 1.4× 643 1.3× 176 6.7k
Jörg D. Seebach 2.1k 1.2× 1.6k 1.7× 686 1.0× 1.1k 1.7× 344 0.7× 173 4.6k
Cesare Perotti 964 0.6× 772 0.8× 479 0.7× 271 0.4× 130 0.3× 145 4.1k
Yuichi Iwaki 1.2k 0.7× 785 0.8× 518 0.8× 564 0.9× 805 1.6× 66 3.0k
Pierre Gianello 4.1k 2.4× 530 0.6× 742 1.1× 1.1k 1.7× 776 1.5× 242 5.4k
M. Abbal 795 0.5× 1.2k 1.3× 572 0.9× 425 0.7× 208 0.4× 117 4.5k
Veit Krenn 1.8k 1.1× 2.6k 2.8× 1.7k 2.6× 362 0.6× 159 0.3× 202 7.8k
John C. Papadimitriou 1.9k 1.1× 1.2k 1.3× 1.4k 2.2× 441 0.7× 1.5k 3.1× 213 7.9k
Finn P. Reinholt 2.1k 1.2× 526 0.6× 1.6k 2.5× 831 1.3× 305 0.6× 199 6.8k
Joren C. Madsen 3.0k 1.7× 2.2k 2.4× 930 1.4× 351 0.5× 1.9k 3.7× 221 6.1k

Countries citing papers authored by Robert Rieben

Since Specialization
Citations

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

Fields of papers citing papers by Robert Rieben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Rieben

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Rieben. A scholar is included among the top collaborators of Robert Rieben 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 Robert Rieben. Robert Rieben 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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Rieben, Robert, et al.. (2025). Pulsatile-flow culture: a novel system for assessing vascular-cell dynamics. Lab on a Chip. 25(7). 1755–1766. 1 indexed citations
3.
Zhang, Lei, Yara Banz, Stefanie Hirsiger, et al.. (2024). Transcriptome profiling of immune rejection mechanisms in a porcine vascularized composite allotransplantation model. Frontiers in Immunology. 15. 1390163–1390163. 3 indexed citations
4.
Gultom, Mitra & Robert Rieben. (2024). Complement, Coagulation, and Fibrinolysis: The Role of the Endothelium and Its Glycocalyx Layer in Xenotransplantation. Transplant International. 37. 13473–13473. 1 indexed citations
5.
Zhang, Lei, et al.. (2024). Immune Rejection of Cartilage in a Swine Vascularized Composite Allotransplantation Model. Transplantation Proceedings. 56(8). 1896–1903. 2 indexed citations
6.
7.
Hirsiger, Stefanie, David Haberthür, Ruslan Hlushchuk, et al.. (2024). Lymph Node Inclusion in a Modified Osteomyocutaneous Allograft for Vascularized Composite Allotransplantation: Establishment and Feasibility Assessment in a Pig Model. Plastic & Reconstructive Surgery Global Open. 12(11). e6296–e6296.
8.
Zhang, Lei, et al.. (2023). Challenges and opportunities in vascularized composite allotransplantation of joints: a systematic literature review. Frontiers in Immunology. 14. 1179195–1179195. 2 indexed citations
9.
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Milusev, Anastasia, Jane Shaw, Matthias Längin, et al.. (2023). Glycocalyx dynamics and the inflammatory response of genetically modified porcine endothelial cells. Xenotransplantation. 30(5). e12820–e12820. 5 indexed citations
11.
Boligan, Kayluz Frias, Johanna Oechtering, Christian W. Keller, et al.. (2020). Xenogeneic Neu5Gc and self-glycan Neu5Ac epitopes are potential immune targets in MS. Neurology Neuroimmunology & Neuroinflammation. 7(2). 11 indexed citations
12.
Wuensch, A., Petra Kameritsch, Riccardo Sfriso, et al.. (2020). Genetically encoded Ca2+‐sensor reveals details of porcine endothelial cell activation upon contact with human serum. Xenotransplantation. 27(5). e12585–e12585. 2 indexed citations
13.
Prost, Jean‐Christophe, Cédric Bovet, Yara Banz, et al.. (2019). Delivery of Rapamycin Using In Situ Forming Implants Promotes Immunoregulation and Vascularized Composite Allograft Survival. Scientific Reports. 9(1). 20 indexed citations
14.
Boligan, Kayluz Frias, David F. Smith, Bodo Grimbacher, et al.. (2019). The architecture of the IgG anti-carbohydrate repertoire in primary antibody deficiencies. Blood. 134(22). 1941–1950. 16 indexed citations
15.
Banz, Yara, Anjan K. Bongoni, Adriano Taddeo, et al.. (2018). Effects of C1 inhibitor on endothelial cell activation in a rat hind limb ischemia-reperfusion injury model. Journal of Vascular Surgery. 68(6). 209S–221S.e2. 21 indexed citations
16.
Banz, Yara, et al.. (2009). Dextran sulfate modulates MAP kinase signaling and reduces endothelial injury in a rat aortic clamping model. Journal of Vascular Surgery. 50(1). 161–170. 6 indexed citations
17.
Spirig, Rolf, Cees van Kooten, Carolina Obregon, et al.. (2008). The Complement Inhibitor Low Molecular Weight Dextran Sulfate Prevents TLR4-Induced Phenotypic and Functional Maturation of Human Dendritic Cells. The Journal of Immunology. 181(2). 878–890. 22 indexed citations
18.
Baumann, Bettina C., Pietro Forte, Robert J. Hawley, et al.. (2004). Lack of Galactose-α-1,3-Galactose Expression on Porcine Endothelial Cells Prevents Complement-Induced Lysis but Not Direct Xenogeneic NK Cytotoxicity. The Journal of Immunology. 172(10). 6460–6467. 70 indexed citations
19.
Laumonier, Thomas, Elena Korchagina, Nicolai V. Bovin, et al.. (2004). Multimeric tyrosine sulfate acts as an endothelial cell protectant and prevents complement activation in xenotransplantation models. Xenotransplantation. 11(3). 262–268. 8 indexed citations
20.
Ushakova, Natalia A., M. E. Preobrazhenskaya, Nikolay E. Nifantiev, et al.. (2003). P-selectin blocking potency of multimeric tyrosine sulfates in vitro and in vivo. Bioorganic & Medicinal Chemistry Letters. 13(10). 1709–1712. 8 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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