Sara Sprangers

440 total citations
9 papers, 346 citations indexed

About

Sara Sprangers is a scholar working on Molecular Biology, Oncology and Immunology and Allergy. According to data from OpenAlex, Sara Sprangers has authored 9 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Immunology and Allergy. Recurrent topics in Sara Sprangers's work include Bone Metabolism and Diseases (6 papers), Cell Adhesion Molecules Research (4 papers) and Bone health and treatments (4 papers). Sara Sprangers is often cited by papers focused on Bone Metabolism and Diseases (6 papers), Cell Adhesion Molecules Research (4 papers) and Bone health and treatments (4 papers). Sara Sprangers collaborates with scholars based in Netherlands, Denmark and Canada. Sara Sprangers's co-authors include Vincent Everts, Teun J. de Vries, Yixuan Cao, Ton Schoenmaker, Ineke D.C. Jansen, Pieter J. M. Leenen, Jan Stap, Niels Behrendt, Lars H. Engelholm and H. Eka D. Suchiman and has published in prestigious journals such as Experimental Cell Research, Journal of Cellular Physiology and Journal of Leukocyte Biology.

In The Last Decade

Sara Sprangers

9 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Sprangers Netherlands 8 159 100 66 65 41 9 346
Fumishige Oseko Japan 13 128 0.8× 61 0.6× 33 0.5× 53 0.8× 27 0.7× 23 485
Chunmiao Jiang China 13 256 1.6× 126 1.3× 93 1.4× 84 1.3× 47 1.1× 41 660
Zhenjiang Sui China 8 135 0.8× 52 0.5× 57 0.9× 46 0.7× 50 1.2× 13 309
Fuhua Yan China 8 146 0.9× 66 0.7× 49 0.7× 46 0.7× 39 1.0× 13 384
Shoichiro Yano Japan 14 177 1.1× 177 1.8× 82 1.2× 34 0.5× 26 0.6× 18 688
Fujia Ren China 7 184 1.2× 83 0.8× 46 0.7× 42 0.6× 28 0.7× 12 322
Gen Matsumae Japan 11 174 1.1× 55 0.6× 70 1.1× 110 1.7× 48 1.2× 18 364
Akiko Kishikawa Japan 12 271 1.7× 73 0.7× 119 1.8× 83 1.3× 73 1.8× 15 467
Caterina Cattani Italy 10 65 0.4× 60 0.6× 44 0.7× 56 0.9× 37 0.9× 16 378

Countries citing papers authored by Sara Sprangers

Since Specialization
Citations

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

Fields of papers citing papers by Sara Sprangers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Sprangers

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

All Works

9 of 9 papers shown
1.
Hoolwerff, Marcella van, Sara Sprangers, H. Eka D. Suchiman, et al.. (2022). Mutation in the CCAL1 locus accounts for bidirectional process of human subchondral bone turnover and cartilage mineralization. Lara D. Veeken. 62(1). 360–372. 13 indexed citations
2.
Cao, Yixuan, Ineke D.C. Jansen, Sara Sprangers, Teun J. de Vries, & Vincent Everts. (2017). TNF‐α has both stimulatory and inhibitory effects on mouse monocyte‐derived osteoclastogenesis. Journal of Cellular Physiology. 232(12). 3273–3285. 26 indexed citations
3.
Cao, Yixuan, Sara Sprangers, Daisy I. Picavet, et al.. (2017). Deletion of Adseverin in Osteoclasts Affects Cell Structure But Not Bone Metabolism. Calcified Tissue International. 101(2). 207–216. 2 indexed citations
4.
Sprangers, Sara & Vincent Everts. (2017). Molecular pathways of cell-mediated degradation of fibrillar collagen. Matrix Biology. 75-76. 190–200. 77 indexed citations
5.
Sprangers, Sara, Ton Schoenmaker, Yixuan Cao, Vincent Everts, & Teun J. de Vries. (2016). Integrin αMβ2 is differently expressed by subsets of human osteoclast precursors and mediates adhesion of classical monocytes to bone. Experimental Cell Research. 350(1). 161–168. 11 indexed citations
6.
Sprangers, Sara, Teun J. de Vries, & Vincent Everts. (2016). Monocyte Heterogeneity: Consequences for Monocyte-Derived Immune Cells. Journal of Immunology Research. 2016. 1–10. 104 indexed citations
7.
Sprangers, Sara, Niels Behrendt, Lars H. Engelholm, Yixuan Cao, & Vincent Everts. (2016). Phagocytosis of Collagen Fibrils by Fibroblasts In Vivo Is Independent of the uPARAP/Endo180 Receptor. Journal of Cellular Biochemistry. 118(6). 1590–1595. 16 indexed citations
8.
Cao, Yixuan, Ineke D.C. Jansen, Sara Sprangers, et al.. (2016). IL-1β differently stimulates proliferation and multinucleation of distinct mouse bone marrow osteoclast precursor subsets. Journal of Leukocyte Biology. 100(3). 513–523. 48 indexed citations
9.
Sprangers, Sara, Ton Schoenmaker, Yixuan Cao, Vincent Everts, & Teun J. de Vries. (2015). Different Blood‐Borne Human Osteoclast Precursors Respond in Distinct Ways to IL‐17A. Journal of Cellular Physiology. 231(6). 1249–1260. 49 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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