This map shows the geographic impact of C M Shipman'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 C M Shipman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C M Shipman more than expected).
This network shows the impact of papers produced by C M Shipman. 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 C M Shipman. The network helps show where C M Shipman may publish in the future.
Co-authorship network of co-authors of C M Shipman
This figure shows the co-authorship network connecting the top 25 collaborators of C M Shipman.
A scholar is included among the top collaborators of C M Shipman 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 C M Shipman. C M Shipman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Oyajobi, Babatunde O., Abhishek Gupta, Cyrilla H. Wideman, et al.. (2005). Dkk1 modulates osteoclastogenesis and bone resorption: Implications for myeloma bone disease.. Journal of Bone and Mineral Research. 20.2 indexed citations
5.
Locklin, Rachel M., Ermanno Federici, Peter I. Croucher, R.G.G. Russell, & C M Shipman. (2005). Differential sensitivity of normal osteoblast-like cells and osteosarcoma cells to TRAIL and an agonist antibody to TRAIL receptor-2. Journal of Bone and Mineral Research. 20. 1307–1307.1 indexed citations
6.
Edwards, Jeffrey D., et al.. (2004). LIGHT (TNFSF14), a novel mediator of normal and pathological bone resorption.. Journal of Bone and Mineral Research. 19.1 indexed citations
7.
Edwards, et al.. (2004). Light, a TNF-superfamily member, induces osteoclast formation in vitro; A novel mediator of bone resorption?. Journal of Bone and Mineral Research. 19. 1051–1051.1 indexed citations
Leenheer, Evy De, Karin Vanderkerken, Marleen Bâkkus, et al.. (2002). Bone marrow endothelial cells express the osteoclastogenic factor RANKL and its decoy receptor OPG: Evidence for a role in the development of myeloma bone disease.. Blood. 100.2 indexed citations
10.
Raeve, Hendrik De, Mark Perry, C M Shipman, et al.. (2002). Zoledronic acid prevents the development of osteolytic bone disease and increases survival in a murine model of multiple myeloma. Bone. 30.3 indexed citations
11.
Croucher, Peter I., C M Shipman, Mark Perry, et al.. (2001). Osteoprotegerin inhibits the development of osteolytic bone disease in multiple myeloma. Bone. 28(5).1 indexed citations
Croucher, Peter I., C M Shipman, Mark Perry, et al.. (2001). Zoledronic acid inhibits the development of osteolytic bone disease and increases disease free survival in a murine model of multiple myeloma. Blood. 98.6 indexed citations
Croucher, Peter I., C M Shipman, Mark Perry, et al.. (2000). Osteoprotegerin (OPG) inhibits the development of osteolytic bone disease in the 5T2MM model of multiple myeloma.. Blood. 96(11).1 indexed citations
16.
Shipman, C M, et al.. (2000). Myeloma cells isolated from patients with multiple myeloma express osteoprotegerin ligand.. Journal of Bone and Mineral Research. 15. 1217–1217.2 indexed citations
17.
Shipman, C M, Ingunn Holen, J M Lippitt, Elisabeth Vandenberghe, & Peter I. Croucher. (2000). Tumour cells isolated from patients with multiple myeloma express the critical osteoclastogenic factor, RANKL.. Blood. 96.13 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.