Christian van den Bos

2.3k total citations
27 papers, 1.8k citations indexed

About

Christian van den Bos is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Christian van den Bos has authored 27 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Christian van den Bos's work include Mesenchymal stem cell research (8 papers), S100 Proteins and Annexins (6 papers) and Protease and Inhibitor Mechanisms (5 papers). Christian van den Bos is often cited by papers focused on Mesenchymal stem cell research (8 papers), S100 Proteins and Annexins (6 papers) and Protease and Inhibitor Mechanisms (5 papers). Christian van den Bos collaborates with scholars based in Switzerland, Germany and United States. Christian van den Bos's co-authors include Clemens Sorg, Johannes Roth, Dieter Eibl, Regine Eibl, Valentin Jossen, Susan J. Peter, Sudha Kadiyala, Michael Archambault, Matthias Goebeler and Treena Livingston Arinzeh and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Christian van den Bos

27 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian van den Bos Switzerland 18 917 589 375 375 338 27 1.8k
Avital Mendelson United States 14 578 0.6× 604 1.0× 342 0.9× 336 0.9× 394 1.2× 30 2.1k
Peter Maye United States 25 1.7k 1.8× 366 0.6× 298 0.8× 320 0.9× 436 1.3× 53 3.0k
Elena Gabusi Italy 24 538 0.6× 438 0.7× 312 0.8× 383 1.0× 154 0.5× 69 1.9k
Jorge Domenech France 23 632 0.7× 1.1k 1.9× 172 0.5× 548 1.5× 349 1.0× 61 2.3k
Mohan R. Wani India 24 1.0k 1.1× 436 0.7× 139 0.4× 301 0.8× 336 1.0× 41 2.0k
Peter Neth Germany 22 1.1k 1.2× 563 1.0× 249 0.7× 333 0.9× 195 0.6× 33 2.1k
Liza J. Raggatt Australia 20 1.7k 1.9× 505 0.9× 488 1.3× 381 1.0× 966 2.9× 34 3.7k
Laura Lu United States 17 1.0k 1.1× 483 0.8× 604 1.6× 566 1.5× 303 0.9× 35 2.4k
Aparecida Maria Fontes Brazil 16 831 0.9× 1.2k 2.0× 196 0.5× 695 1.9× 168 0.5× 52 2.2k
Il‐Hoan Oh South Korea 28 1.3k 1.4× 904 1.5× 162 0.4× 365 1.0× 460 1.4× 90 2.8k

Countries citing papers authored by Christian van den Bos

Since Specialization
Citations

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

Fields of papers citing papers by Christian van den Bos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian van den Bos. 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 Christian van den Bos. The network helps show where Christian van den Bos may publish in the future.

Co-authorship network of co-authors of Christian van den Bos

This figure shows the co-authorship network connecting the top 25 collaborators of Christian van den Bos. A scholar is included among the top collaborators of Christian van den Bos 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 Christian van den Bos. Christian van den Bos 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.
Eibl, Dieter, et al.. (2023). Mesenchymal and induced pluripotent stem cell–based therapeutics: a comparison. Applied Microbiology and Biotechnology. 107(14). 4429–4445. 6 indexed citations
2.
Jossen, Valentin, Christian van den Bos, Regine Eibl, & Dieter Eibl. (2018). Manufacturing human mesenchymal stem cells at clinical scale: process and regulatory challenges. Applied Microbiology and Biotechnology. 102(9). 3981–3994. 142 indexed citations
3.
Board, Mary, et al.. (2017). Acetoacetate is a more efficient energy-yielding substrate for human mesenchymal stem cells than glucose and generates fewer reactive oxygen species. The International Journal of Biochemistry & Cell Biology. 88. 75–83. 27 indexed citations
4.
Jossen, Valentin, et al.. (2014). Modification and qualification of a stirred single-use bioreactor for the improved expansion of human mesenchymal stem cells at benchtop scale. Zenodo (CERN European Organization for Nuclear Research). 2(4). 311–322. 19 indexed citations
5.
Kaiser, Stephan C., et al.. (2012). Fluid Flow and Cell Proliferation of Mesenchymal Adipose‐Derived Stem Cells in Small‐Scale, Stirred, Single‐Use Bioreactors. Chemie Ingenieur Technik. 85(1-2). 95–102. 56 indexed citations
6.
Bos, Christian van den. (2009). Developing Lifeline™, a Small-Caliber Autologous Tissue-Engineered Blood Vessel, for Clinical Trials in Germany. BioProcessing Journal. 7(4). 48–51. 2 indexed citations
7.
Kok, Ingeborg J. De, Susan J. Peter, Michael Archambault, et al.. (2003). Investigation of allogeneic mesenchyrnal stem cell‐based alveolar bone formation: preliminary findings. Clinical Oral Implants Research. 14(4). 481–489. 96 indexed citations
8.
Arinzeh, Treena Livingston, Susan J. Peter, Michael Archambault, et al.. (2003). ALLOGENEIC MESENCHYMAL STEM CELLS REGENERATE BONE IN A CRITICAL-SIZED CANINE SEGMENTAL DEFECT. Journal of Bone and Joint Surgery. 85(10). 1927–1935. 391 indexed citations
9.
Berg, Henk van den, et al.. (2003). Decreasing the number of MOPP courses reduces gonadal damage in survivors of childhood hodgkin disease. Pediatric Blood & Cancer. 42(3). 210–215. 26 indexed citations
10.
Russo, Gian Luigi, Christian van den Bos, & Daniel R. Marshak. (2001). Mutation at the CK2 phosphorylation site on Cdc28 affects kinase activity and cell size in Saccharomyces cerevisiae. PubMed. 227(1-2). 113–117. 7 indexed citations
11.
Russo, Gian Luigi, Christian van den Bos, Ann Sutton, et al.. (2000). Phosphorylation of Cdc28 and regulation of cell size by the protein kinase CKII in Saccharomyces cerevisiae. Biochemical Journal. 351(1). 143–143. 17 indexed citations
12.
Vogl, Thomas, Christian Pröpper, Michael Hartmann, et al.. (1999). S100A12 Is Expressed Exclusively by Granulocytes and Acts Independently from MRP8 and MRP14. Journal of Biological Chemistry. 274(36). 25291–25296. 176 indexed citations
13.
Mbalaviele, Gabriel, Neelam Jaiswal, Alice Meng, et al.. (1999). Human Mesenchymal Stem Cells Promote Human Osteoclast Differentiation from CD34+ Bone Marrow Hematopoietic Progenitors*. Endocrinology. 140(8). 3736–3743. 78 indexed citations
14.
Bos, Christian van den, Thomas Vogl, Raymond Boynton, et al.. (1998). Copurification of P6, MRP8, and MRP14 from Human Granulocytes and Separation of Individual Proteins. Protein Expression and Purification. 13(3). 313–318. 44 indexed citations
15.
Bos, Christian van den, et al.. (1998). p21 cip1 rescues human mesenchymal stem cells from apoptosis induced by low-density culture. Cell and Tissue Research. 293(3). 463–470. 24 indexed citations
16.
Bos, Christian van den, et al.. (1997). Human mesenchymal stem cells respond to fibroblast growth factors.. PubMed. 10(1). 45–50. 63 indexed citations
17.
19.
Roth, Johannes, et al.. (1994). Expression of the calcium-binding proteins MRP8 and MRP14 in monocytes is regulated by a calcium-induced suppressor mechanism. Biochemical Journal. 301(3). 655–660. 40 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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