Simon Reinke

1.5k total citations
20 papers, 875 citations indexed

About

Simon Reinke is a scholar working on Surgery, Genetics and Immunology. According to data from OpenAlex, Simon Reinke has authored 20 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Genetics and 6 papers in Immunology. Recurrent topics in Simon Reinke's work include Mesenchymal stem cell research (5 papers), Orthopaedic implants and arthroplasty (4 papers) and Orthopedic Infections and Treatments (3 papers). Simon Reinke is often cited by papers focused on Mesenchymal stem cell research (5 papers), Orthopaedic implants and arthroplasty (4 papers) and Orthopedic Infections and Treatments (3 papers). Simon Reinke collaborates with scholars based in Germany, United States and Japan. Simon Reinke's co-authors include Georg N. Duda, Sven Geißler, Hans‐Dieter Volk, Petra Reinke, William R. Taylor, Katharina Schmidt‐Bleek, Michael Dahne, Verena Schwachmeyer, Christian Meisel and Levent Akyüz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biomaterials.

In The Last Decade

Simon Reinke

18 papers receiving 863 citations

Peers

Simon Reinke
Paula Kolar Germany
Elke Kunisch Germany
Nasser Nooh Saudi Arabia
Daniel Toben Germany
Leandra A. Barnes United States
Ran Xiao China
Paula Kolar Germany
Simon Reinke
Citations per year, relative to Simon Reinke Simon Reinke (= 1×) peers Paula Kolar

Countries citing papers authored by Simon Reinke

Since Specialization
Citations

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

Fields of papers citing papers by Simon Reinke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Reinke

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Reinke. A scholar is included among the top collaborators of Simon Reinke 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 Simon Reinke. Simon Reinke 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.
Ferreira‐Gomes, Marta, Gabriela Maria Guerra, Pawel Durek, et al.. (2025). Surface CD69‐Negative CD4 and CD8 Bone Marrow‐Resident Human Memory T Cells. European Journal of Immunology. 55(5). e202451529–e202451529.
2.
Voß, Jan Oliver, Katharina Schmidt‐Bleek, Georg N. Duda, et al.. (2024). Prognostic implications of a CD8+ TEMRA to CD4+Treg imbalance in mandibular fracture healing: a prospective analysis of immune profiles. Frontiers in Immunology. 15. 1476009–1476009.
3.
Stark, Regina, Simon Reinke, Sebastian Hardt, et al.. (2024). Long-term in vitro maintenance of plasma cells in a hydrogel-enclosed human bone marrow microphysiological 3D model system. Biofabrication. 16(4). 45005–45005. 5 indexed citations
4.
Textor, Martin, Arnd Hoburg, Carsten Perka, et al.. (2023). Chondrocyte Isolation from Loose Bodies—An Option for Reducing Donor Site Morbidity for Autologous Chondrocyte Implantation. International Journal of Molecular Sciences. 24(2). 1484–1484. 2 indexed citations
5.
Streitz, Mathias, Gerald Grütz, Florian Nima Fleckenstein, et al.. (2023). Individual immune cell and cytokine profiles determine platelet-rich plasma composition. Arthritis Research & Therapy. 25(1). 6–6. 15 indexed citations
6.
Schulz, Axel, Heike Hirseland, Simon Reinke, et al.. (2023). SARS-CoV-2 specific plasma cells acquire long-lived phenotypes in human bone marrow. EBioMedicine. 95. 104735–104735. 11 indexed citations
7.
Heyland, Mark, Marie–Jacqueline Reisener, Philipp Damm, et al.. (2023). Lower-limb internal loading and potential consequences for fracture healing. Frontiers in Bioengineering and Biotechnology. 11. 1284091–1284091. 4 indexed citations
8.
Reinke, Simon, Shen Yu, Zixu Wang, et al.. (2022). A ubiquitous bone marrow reservoir of preexisting SARS-CoV-2-reactive memory CD4+ T lymphocytes in unexposed individuals. Frontiers in Immunology. 13. 1004656–1004656. 2 indexed citations
9.
Schoon, Janosch, Bernhard Hesse, Anastasia Rakow, et al.. (2020). Metal‐Specific Biomaterial Accumulation in Human Peri‐Implant Bone and Bone Marrow. Advanced Science. 7(20). 2000412–2000412. 67 indexed citations
10.
Schlundt, Claudia, Simon Reinke, Sven Geißler, et al.. (2019). Individual Effector/Regulator T Cell Ratios Impact Bone Regeneration. Frontiers in Immunology. 10. 1954–1954. 71 indexed citations
11.
Janz, Viktor, Janosch Schoon, Christian Morgenstern, et al.. (2018). Rapid detection of periprosthetic joint infection using a combination of 16s rDNA polymerase chain reaction and lateral flow immunoassay. Bone and Joint Research. 7(1). 12–19. 23 indexed citations
12.
Jurisch, Anke, et al.. (2018). In situ detection of CD73+ CD90+ CD105+ lineage: Mesenchymal stromal cells in human placenta and bone marrow specimens by chipcytometry. Cytometry Part A. 93(9). 889–893. 15 indexed citations
13.
Pumberger, Matthias, Taimoor H. Qazi, Martin Textor, et al.. (2016). Synthetic niche to modulate regenerative potential of MSCs and enhance skeletal muscle regeneration. Biomaterials. 99. 95–108. 83 indexed citations
14.
Sass, F. Andrea, Katharina Schmidt‐Bleek, Agnes Ellinghaus, et al.. (2016). CD31+ Cells From Peripheral Blood Facilitate Bone Regeneration in Biologically Impaired Conditions Through Combined Effects on Immunomodulation and Angiogenesis. Journal of Bone and Mineral Research. 32(5). 902–912. 28 indexed citations
15.
Reinke, Simon, et al.. (2014). Qualifying stem cell sources: how to overcome potential pitfalls in regenerative medicine?. Journal of Tissue Engineering and Regenerative Medicine. 10(1). 3–10. 19 indexed citations
16.
Grün, Joachim R., Kerstin Westendorf, Zhuo Fang, et al.. (2014). Human memory T cells from the bone marrow are resting and maintain long-lasting systemic memory. Proceedings of the National Academy of Sciences. 111(25). 9229–9234. 132 indexed citations
17.
Reinke, Simon, Sven Geißler, William R. Taylor, et al.. (2013). Terminally Differentiated CD8 + T Cells Negatively Affect Bone Regeneration in Humans. Science Translational Medicine. 5(177). 177ra36–177ra36. 259 indexed citations
18.
Reinke, Simon, William R. Taylor, Georg N. Duda, et al.. (2010). Absolute and functional iron deficiency in professional athletes during training and recovery. International Journal of Cardiology. 156(2). 186–191. 67 indexed citations
19.
Habedank, Dirk, Thomas Kung, Tim Karhausen, et al.. (2009). Exercise capacity and body composition in living-donor renal transplant recipients over time. Nephrology Dialysis Transplantation. 24(12). 3854–3860. 31 indexed citations
20.
Reinke, Simon, Tim Karhausen, Wolfram Doehner, et al.. (2009). The Influence of Recovery and Training Phases on Body Composition, Peripheral Vascular Function and Immune System of Professional Soccer Players. PLoS ONE. 4(3). e4910–e4910. 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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