M. Schipper

1.3k total citations
18 papers, 1.0k citations indexed

About

M. Schipper is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, M. Schipper has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in M. Schipper's work include Angiogenesis and VEGF in Cancer (5 papers), Mesenchymal stem cell research (4 papers) and Reproductive System and Pregnancy (3 papers). M. Schipper is often cited by papers focused on Angiogenesis and VEGF in Cancer (5 papers), Mesenchymal stem cell research (4 papers) and Reproductive System and Pregnancy (3 papers). M. Schipper collaborates with scholars based in Netherlands, United States and Ireland. M. Schipper's co-authors include Maas Jan Heineman, Marijke M. Faas, Annechien Bouman, Jasper Koerts, Diana Ploeger, Ruud A. Bank, Nynke A. Hosper, P. J. van Diest, L. H. M. van Gorp and J. Los and has published in prestigious journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and Anesthesiology.

In The Last Decade

M. Schipper

17 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Schipper Netherlands 11 284 259 238 218 137 18 1.0k
Tiina Skoog Sweden 17 359 1.3× 201 0.8× 165 0.7× 360 1.7× 225 1.6× 27 1.1k
Katsuaki Kanbe Japan 23 271 1.0× 105 0.4× 312 1.3× 410 1.9× 148 1.1× 66 1.7k
Siân Lax United Kingdom 19 450 1.6× 76 0.3× 205 0.9× 295 1.4× 78 0.6× 31 1.2k
Corinne Luedemann United States 18 1.1k 3.7× 265 1.0× 261 1.1× 336 1.5× 171 1.2× 27 1.8k
Monika Lodyga Canada 20 876 3.1× 199 0.8× 234 1.0× 420 1.9× 127 0.9× 28 2.0k
Graham Robinson United Kingdom 18 244 0.9× 129 0.5× 242 1.0× 283 1.3× 122 0.9× 52 1.2k
Adrianos Nezos Greece 22 346 1.2× 145 0.6× 289 1.2× 462 2.1× 117 0.9× 62 1.5k
Sherry Thornton United States 26 597 2.1× 184 0.7× 213 0.9× 692 3.2× 218 1.6× 67 2.0k
Milton M. Sholley United States 19 444 1.6× 141 0.5× 127 0.5× 190 0.9× 105 0.8× 29 1.2k
Ting Xu China 21 485 1.7× 121 0.5× 157 0.7× 270 1.2× 167 1.2× 60 1.5k

Countries citing papers authored by M. Schipper

Since Specialization
Citations

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

Fields of papers citing papers by M. Schipper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Schipper

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

All Works

18 of 18 papers shown
1.
Schipper, M., M.M. Matuszak, Mark M. Zaki, et al.. (2025). Optimizing Fractionation Strategies for Early-Stage NSCLC: Real-World Toxicity and Outcomes from a Statewide Consortium. International Journal of Radiation Oncology*Biology*Physics. 123(1). e165–e165.
2.
Vince, Randy, Ji Qi, Susan Linsell, et al.. (2021). Impact of decipher biopsy testing on clinical outcomes in localized prostate cancer in a prospective statewide collaborative. European Urology. 79. S1421–S1422. 2 indexed citations
3.
Ploeger, Diana, et al.. (2013). Cell plasticity in wound healing: paracrine factors of M1/ M2 polarized macrophages influence the phenotypical state of dermal fibroblasts. Cell Communication and Signaling. 11(1). 29–29. 210 indexed citations
4.
Yakala, Gopala Krishna, Grietje Molema, M. Schipper, et al.. (2012). Beneficial Effects of an Alternating High- Fat Dietary Regimen on Systemic Insulin Resistance, Hepatic and Renal Inflammation and Renal Function. PLoS ONE. 7(9). e45866–e45866. 7 indexed citations
5.
Krenning, Guido, et al.. (2011). Combined implantation of CD34 + and CD14 + cells increases neovascularization through amplified paracrine signalling. Journal of Tissue Engineering and Regenerative Medicine. 7(2). 118–128. 8 indexed citations
7.
Krenning, Guido, et al.. (2008). CD34+ cells augment endothelial cell differentiation of CD14+ endothelial progenitor cells in vitro. Journal of Cellular and Molecular Medicine. 13(8b). 2521–2533. 44 indexed citations
8.
Popa, Eliane R., Barry W. A. van der Strate, Linda A. Brouwer, et al.. (2007). Dependence of Neovascularization Mechanisms on the Molecular Microenvironment. Tissue Engineering. 13(12). 2913–2921. 9 indexed citations
9.
Strate, Barry W. A. van der, Eliane R. Popa, M. Schipper, et al.. (2007). Circulating human CD34+ progenitor cells modulate neovascularization and inflammation in a nude mouse model. Journal of Molecular and Cellular Cardiology. 42(6). 1086–1097. 25 indexed citations
10.
Popa, Eliane R., Martin C. Harmsen, René A. Tio, et al.. (2006). Circulating CD34+ progenitor cells modulate host angiogenesis and inflammation in vivo. Journal of Molecular and Cellular Cardiology. 41(1). 86–96. 45 indexed citations
11.
Nolte, Ilja M., M. Schipper, Elvira Oosterom, et al.. (2005). Interleukin-10 and Fas polymorphisms and susceptibility for (pre)neoplastic cervical disease. International Journal of Gynecological Cancer. 15(s3). 282–290. 61 indexed citations
12.
Nolte, Ilja M., M. Schipper, Elvira Oosterom, et al.. (2005). Methylenetetrahydrofolate reductase (MTHFR) and susceptibility for (pre)neoplastic cervical disease. Human Genetics. 116(4). 247–254. 34 indexed citations
13.
Zee, A. G. van der, et al.. (2005). 0001: ANALYSIS OF THE ENTIRE HLA REGION IN SUSCEPTIBILITY FOR CERVICAL CANCER: A COMPREHENSIVE STUDY. International Journal of Gynecological Cancer. 15. 51–51. 4 indexed citations
14.
Bouman, Annechien, M. Schipper, Maas Jan Heineman, & Marijke M. Faas. (2004). 17β-estradiol and progesterone do not influence the production of cytokines from lipopolysaccharide-stimulated monocytes in humans. Fertility and Sterility. 82. 1212–1219. 31 indexed citations
15.
Bouman, Annechien, M. Schipper, Maas Jan Heineman, & Marijke M. Faas. (2004). Gender Difference in the Non‐Specific and Specific Immune Response in Humans. American Journal of Reproductive Immunology. 52(1). 19–26. 194 indexed citations
16.
Faas, Maria, et al.. (2003). Glomerular Immunoglobulin Deposits Induce Glomerular Inflammation in Pregnant but not in Non‐pregnant Rats. American Journal of Reproductive Immunology. 49(1). 57–63. 2 indexed citations
17.
Diest, P. J. van, Jan P. A. Baak, E.C.M. Wisse-Brekelmans, et al.. (1992). Reproducibility of mitosis counting in 2,469 breast cancer specimens: Results from the Multicenter Morphometric Mammary Carcinoma Project. Human Pathology. 23(6). 603–607. 302 indexed citations
18.
Baak, Jan P. A., P. J. van Diest, A. Th. Ariëns, et al.. (1989). The Multicenter Morphometric Mammary Carcinoma Project (MMMCP). Pathology - Research and Practice. 185(5). 664–670. 53 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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