Martin Ryser

3.7k total citations
28 papers, 594 citations indexed

About

Martin Ryser is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Martin Ryser has authored 28 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Genetics. Recurrent topics in Martin Ryser's work include Virus-based gene therapy research (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and CAR-T cell therapy research (4 papers). Martin Ryser is often cited by papers focused on Virus-based gene therapy research (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and CAR-T cell therapy research (4 papers). Martin Ryser collaborates with scholars based in Germany, Belgium and United States. Martin Ryser's co-authors include Sebastian Brenner, Martin Bornhäuser, Fernando Ugarte, Harry L. Malech, Fernando A. Fierro, Narda Whiting‐Theobald, Sina Koch, Angela Jacobi, Gilda F. Linton and Christian Thiede and has published in prestigious journals such as Blood, JNCI Journal of the National Cancer Institute and The Journal of Infectious Diseases.

In The Last Decade

Martin Ryser

25 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Ryser Germany 15 297 141 131 122 114 28 594
Erika A. de Wynter United Kingdom 15 226 0.8× 166 1.2× 204 1.6× 169 1.4× 264 2.3× 21 638
Nury L. Yim United States 7 151 0.5× 79 0.6× 152 1.2× 63 0.5× 110 1.0× 11 416
Matthew J. O’Shaughnessy United States 12 236 0.8× 140 1.0× 182 1.4× 119 1.0× 195 1.7× 21 669
Frédéric Lambert Belgium 11 197 0.7× 91 0.6× 54 0.4× 196 1.6× 138 1.2× 23 772
Emmanuel Ravet France 8 251 0.8× 162 1.1× 78 0.6× 147 1.2× 75 0.7× 10 500
Ian Dimmick United Kingdom 8 328 1.1× 79 0.6× 256 2.0× 188 1.5× 94 0.8× 13 731
Koji Mizuhashi Japan 10 466 1.6× 221 1.6× 61 0.5× 176 1.4× 47 0.4× 11 758
Terumasa Umemoto Japan 21 371 1.2× 124 0.9× 255 1.9× 88 0.7× 344 3.0× 43 1.1k
Alexey Bersenev United States 14 450 1.5× 238 1.7× 153 1.2× 230 1.9× 228 2.0× 24 838
G P Bagnara Italy 13 252 0.8× 176 1.2× 164 1.3× 90 0.7× 155 1.4× 22 679

Countries citing papers authored by Martin Ryser

Since Specialization
Citations

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

Fields of papers citing papers by Martin Ryser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Ryser

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Ryser. A scholar is included among the top collaborators of Martin Ryser 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 Martin Ryser. Martin Ryser 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.
Park, Walter D., S. Nair, Hani M. Wadei, et al.. (2025). Responses of Kidney Transplant Recipients to Vaccination and Boosting. Mayo Clinic Proceedings. 100(9). 1506–1518.
2.
Muangnoicharoen, Sant, Saranath Lawpoolsri, Sira Nanthapisal, et al.. (2024). Heterologous Ad26.COV2.S booster after primary BBIBP-CorV vaccination against SARS-CoV-2 infection: 1-year follow-up of a phase 1/2 open-label trial. Vaccine. 42(19). 3999–4010. 2 indexed citations
3.
Muangnoicharoen, Sant, Sira Nanthapisal, Anan Jongkaewwattana, et al.. (2023). Single Ad26.COV2.S Booster Dose Following Two Doses of BBIBP-CorV Vaccine Against SARS-CoV-2 Infection in Adults: Day 28 Results of a Phase 1/2 Open-Label Trial. SSRN Electronic Journal. 1 indexed citations
4.
Muangnoicharoen, Sant, Sira Nanthapisal, Saranath Lawpoolsri, et al.. (2023). Single Ad26.COV2.S booster dose following two doses of BBIBP-CorV vaccine against SARS-CoV-2 infection in adults: Day 28 results of a phase 1/2 open-label trial. Vaccine. 41(32). 4648–4657. 5 indexed citations
5.
Ryser, Martin, et al.. (2019). Post-hoc analysis from phase III trials of human papillomavirus vaccines: considerations on impact on non-vaccine types. Expert Review of Vaccines. 18(3). 309–322. 17 indexed citations
6.
Tota, Joseph E., Frank Struyf, Joshua N. Sampson, et al.. (2019). Efficacy of the AS04-Adjuvanted HPV16/18 Vaccine: Pooled Analysis of the Costa Rica Vaccine and PATRICIA Randomized Controlled Trials. JNCI Journal of the National Cancer Institute. 112(8). 818–828. 23 indexed citations
7.
Richter, Cornelia, Martin Ryser, Arshad Jamal, et al.. (2017). Neurotrophin Receptor p75NTR Regulates Immune Function of Plasmacytoid Dendritic Cells. Frontiers in Immunology. 8. 981–981. 15 indexed citations
8.
9.
Boulet, Gaëlle, Isabel Pintelon, Peter Verstraelen, et al.. (2012). High-Content Imaging in Cervical Cancer Screening. SLAS DISCOVERY. 18(1). 135–142. 2 indexed citations
10.
Jacobi, Angela, Sebastian Thieme, Fernando Ugarte, et al.. (2009). Impact of CXCR4 inhibition on FLT3-ITD−positive human AML blasts. Experimental Hematology. 38(3). 180–190. 33 indexed citations
11.
Thieme, Sebastian, Martin Ryser, Sebastian Brenner, et al.. (2009). Stromal Cell-Derived Factor-1α–Directed Chemoattraction of Transiently CXCR4-Overexpressing Bone Marrow Stromal Cells into Functionalized Three-Dimensional Biomimetic Scaffolds. Tissue Engineering Part C Methods. 15(4). 687–696. 30 indexed citations
12.
Ugarte, Fernando, et al.. (2009). Notch signaling enhances osteogenic differentiation while inhibiting adipogenesis in primary human bone marrow stromal cells. Experimental Hematology. 37(7). 867–875.e1. 99 indexed citations
13.
Ryser, Martin, et al.. (2009). Serum albumin strongly influences SDF-1 dependent migration. International Journal of Hematology. 89(3). 269–275. 7 indexed citations
14.
Ryser, Martin, et al.. (2008). mRNA Transfection of CXCR4-GFP Fusion—Simply Generated by PCR—Results in Efficient Migration of Primary Human Mesenchymal Stem Cells. Tissue Engineering Part C Methods. 14(3). 179–184. 30 indexed citations
15.
Koch, Sina, Angela Jacobi, Martin Ryser, Gerhard Ehninger, & Christian Thiede. (2008). Abnormal Localization and Accumulation of FLT3-ITD, a Mutant Receptor Tyrosine Kinase Involved in Leukemogenesis. Cells Tissues Organs. 188(1-2). 225–235. 30 indexed citations
16.
Moreno-Carranza, Bibiana, Stefan Stein, Axel Schambach, et al.. (2008). Transgene optimization significantly improves SIN vector titers, gp91phox expression and reconstitution of superoxide production in X-CGD cells. Gene Therapy. 16(1). 111–118. 43 indexed citations
17.
Ryser, Martin, et al.. (2007). Gene therapy for chronic granulomatous disease. Expert Opinion on Biological Therapy. 7(12). 1799–1809. 16 indexed citations
18.
Ugarte, Fernando, Martin Ryser, Sebastian Thieme, Martin Bornhaeuser, & Sebastian Brenner. (2007). Role of Jagged/Notch Signaling in the Cell Fate Determination of Bone Marrow Human Mesenchymal Stem Cells.. Blood. 110(11). 1923–1923.
19.
Brenner, Sebastian, Martin Ryser, Uimook Choi, et al.. (2006). Polyclonal Long-Term MFGS-gp91phox Marking in Rhesus Macaques after Nonmyeloablative Transplantation with Transduced Autologous Peripheral Blood Progenitor Cells. Molecular Therapy. 14(2). 202–211. 8 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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