Michael Sittinger

13.7k total citations · 2 hit papers
190 papers, 10.7k citations indexed

About

Michael Sittinger is a scholar working on Rheumatology, Surgery and Urology. According to data from OpenAlex, Michael Sittinger has authored 190 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Rheumatology, 73 papers in Surgery and 41 papers in Urology. Recurrent topics in Michael Sittinger's work include Osteoarthritis Treatment and Mechanisms (95 papers), Periodontal Regeneration and Treatments (41 papers) and Mesenchymal stem cell research (40 papers). Michael Sittinger is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (95 papers), Periodontal Regeneration and Treatments (41 papers) and Mesenchymal stem cell research (40 papers). Michael Sittinger collaborates with scholars based in Germany, United States and Sweden. Michael Sittinger's co-authors include Makarand V. Risbud, Jochen Ringe, Christian Kaps, Dietmar W. Hutmacher, Alberto Di Martino, Gerd R Burmester, Michaela Endres, Christoph Erggelet, Olaf Schultz and Will W. Minuth and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Michael Sittinger

187 papers receiving 10.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Chitosan: A versatile biopolymer for orthopaedic tissue-engineering

2005 1.3k citations Michael Sittinger et al. Biomaterials profile →
Scaffold-based tissue engineering: rationale for computer-aided design and solid free-form fabrication systems

2004 814 citations Michael Sittinger et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Sittinger Germany	53	3.8k	3.7k	3.6k	3.0k	1.9k	190	10.7k
Jennifer H. Elisseeff United States	64	4.3k 1.1×	3.6k 1.0×	3.6k 1.0×	4.1k 1.4×	1.3k 0.7×	183	13.9k
Hongwei Ouyang China	58	3.5k 0.9×	3.5k 0.9×	2.3k 0.6×	3.5k 1.2×	1.1k 0.6×	184	10.8k
Yilin Cao China	55	3.2k 0.8×	4.1k 1.1×	2.0k 0.5×	3.6k 1.2×	1.7k 0.9×	219	9.8k
Hani A. Awad United States	52	2.8k 0.7×	4.5k 1.2×	2.0k 0.5×	1.5k 0.5×	1.0k 0.5×	162	10.8k
Mauro Alini Switzerland	81	6.2k 1.6×	7.1k 1.9×	5.3k 1.5×	3.5k 1.2×	2.0k 1.1×	361	20.7k
F. Kurtis Kasper United States	53	4.9k 1.3×	2.4k 0.6×	1.5k 0.4×	3.0k 1.0×	1.1k 0.6×	145	8.9k
Lawrence J. Bonassar United States	66	6.0k 1.6×	5.5k 1.5×	4.2k 1.2×	3.0k 1.0×	995 0.5×	308	14.5k
Rodolfo Quarto Italy	47	3.3k 0.9×	2.8k 0.8×	1.9k 0.5×	1.6k 0.5×	1.5k 0.8×	139	10.1k
Martin J. Stoddart Switzerland	43	2.5k 0.6×	2.2k 0.6×	2.9k 0.8×	1.5k 0.5×	1.2k 0.6×	180	7.6k
Myron Spector United States	65	4.1k 1.1×	6.3k 1.7×	3.7k 1.0×	3.3k 1.1×	1.8k 1.0×	299	13.7k

Countries citing papers authored by Michael Sittinger

Since Specialization

Citations

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

Fields of papers citing papers by Michael Sittinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sittinger

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

All Works

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20 of 20 papers shown

Ertel, Wolfgang, et al.. (2024). Additively Manufactured 3D Clamp‐Culture System for the Investigation of Material‐Cell Interactions in Multi‐Material Hybrid Scaffolds for Musculoskeletal Tissue Defects. Journal of Biomedical Materials Research Part B Applied Biomaterials. 112(11). e35494–e35494. 1 indexed citations

Dehne, Tilo, et al.. (2023). 3D Printing of Bone Substitutes Based on Vat Photopolymerization Processes: A Systematic Review. Journal of Tissue Engineering and Regenerative Medicine. 2023. 1–18. 7 indexed citations

Dehne, Tilo, Michael Sittinger, Zoltán Major, et al.. (2023). Amino Acid-Based Polyphosphorodiamidates with Hydrolytically Labile Bonds for Degradation-Tuned Photopolymers. ACS Macro Letters. 12(6). 673–678. 7 indexed citations

Stolk, Meaghan, et al.. (2019). Enhanced Immunomodulation in Inflammatory Environments Favors Human Cardiac Mesenchymal Stromal-Like Cells for Allogeneic Cell Therapies. Frontiers in Immunology. 10. 1716–1716. 6 indexed citations

Greuel, Selina, Nora Freyer, Toshio Miki, et al.. (2019). Online measurement of oxygen enables continuous noninvasive evaluation of human‐induced pluripotent stem cell ( hiPSC ) culture in a perfused 3D hollow‐fiber bioreactor. Journal of Tissue Engineering and Regenerative Medicine. 13(7). 1203–1216. 6 indexed citations

Stich, Stefan, Mario Čabraja, Jan Philipp Krüger, et al.. (2018). Chemokine CCL25 Induces Migration and Extracellular Matrix Production of Anulus Fibrosus-Derived Cells. International Journal of Molecular Sciences. 19(8). 2207–2207. 13 indexed citations

Dehne, Tilo, et al.. (2018). Dose-Dependent Effect of Mesenchymal Stromal Cell Recruiting Chemokine CCL25 on Porcine Tissue-Engineered Healthy and Osteoarthritic Cartilage. International Journal of Molecular Sciences. 20(1). 52–52. 8 indexed citations

Dehne, Tilo, Michaela Endres, Bruno Stuhlmüller, et al.. (2014). Suitability of Porcine Chondrocyte Micromass Culture To Model Osteoarthritis in Vitro. Molecular Pharmaceutics. 11(7). 2092–2105. 24 indexed citations

Ullah, Mujib, Markus Berger, Michael Sittinger, et al.. (2013). N-Glycosylation Profile of Undifferentiated and Adipogenically Differentiated Human Bone Marrow Mesenchymal Stem Cells: Towards a Next Generation of Stem Cell Markers. Stem Cells and Development. 22(23). 3100–3113. 38 indexed citations

10.

Naderi‐Meshkin, Hojjat, Kristin Andreas, Maryam Moghaddam Matin, et al.. (2013). Chitosan‐based injectable hydrogel as a promising in situ forming scaffold for cartilage tissue engineering. Cell Biology International. 38(1). 72–84. 104 indexed citations

11.

Linthout, Sophie Van, Kostas Savvatis, Kapka Miteva, et al.. (2013). ‘Mesenchymal stem cells improve murine acute coxsackievirus B3-induced myocarditis’ [Eur Heart J 2011;32(17):2168-2178, doi:10.1093/eurheartj/ehq467]. European Heart Journal. 34(8). 604–604. 2 indexed citations

12.

Andreas, Kristin, Radostina Georgieva, Mechthild Ladwig, et al.. (2012). Highly efficient magnetic stem cell labeling with citrate-coated superparamagnetic iron oxide nanoparticles for MRI tracking. Biomaterials. 33(18). 4515–4525. 182 indexed citations

13.

Häupl, Thomas, et al.. (2011). Differential gene expression profiling of human bone marrow-derived mesenchymal stem cells during adipogenic development. BMC Genomics. 12(1). 461–461. 88 indexed citations

14.

Dehne, Tilo, Carsten Perka, Lars Morawietz, et al.. (2010). Gene expression profiling of primary human articular chondrocytes in high-density micromasses reveals patterns of recovery, maintenance, re- and dedifferentiation. Gene. 462(1-2). 8–17. 52 indexed citations

15.

Endres, Matthias, Kristin Andreas, Undine Freymann, et al.. (2010). Chemokine profile of synovial fluid from normal, osteoarthritis and rheumatoid arthritis patients: CCL25, CXCL10 and XCL1 recruit human subchondral mesenchymal progenitor cells. Osteoarthritis and Cartilage. 18(11). 1458–1466. 94 indexed citations

16.

Haisch, A., M. Bücheler, Mathias Hänel, et al.. (2004). Tissue engineered composite grafts (cartilage, keratinocytes, mucosa) for head and neck surgery. Technology and Health Care. 12(2). 159–160.

17.

Haisch, A., et al.. (2004). Immunomodulation of tissue-engineered transplants: in vivo bone generation from methylprednisolone-stimulated chondrocytes. European Archives of Oto-Rhino-Laryngology. 261(4). 216–224. 12 indexed citations

18.

Perka, Carsten, Ron‐Sascha Spitzer, K Lindenhayn, Michael Sittinger, & Olaf Schultz. (2000). Matrix-mixed culture: New methodology for chondrocyte culture and preparation of cartilage transplants. Journal of Biomedical Materials Research. 49(3). 305–311. 110 indexed citations

19.

Sittinger, Michael, Martin Dauner, Helmut Hierlemann, et al.. (1996). Resorbable polyesters in cartilage engineering: Affinity and biocompatibility of polymer fiber structures to chondrocytes. Journal of Biomedical Materials Research. 33(2). 57–63. 181 indexed citations

20.

Sittinger, Michael, et al.. (1993). Synthesis of Human Cartilage Using Organotypic Cell Culture. ORL. 55(6). 347–351. 16 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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