Mary Robertson

1.3k total citations
9 papers, 1.0k citations indexed

About

Mary Robertson is a scholar working on Cell Biology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Mary Robertson has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 4 papers in Biomedical Engineering and 2 papers in Molecular Biology. Recurrent topics in Mary Robertson's work include Cellular Mechanics and Interactions (5 papers), Bone Tissue Engineering Materials (4 papers) and 3D Printing in Biomedical Research (3 papers). Mary Robertson is often cited by papers focused on Cellular Mechanics and Interactions (5 papers), Bone Tissue Engineering Materials (4 papers) and 3D Printing in Biomedical Research (3 papers). Mary Robertson collaborates with scholars based in United Kingdom, Sweden and Canada. Mary Robertson's co-authors include Richard O. C. Oreffo, Matthew J. Dalby, David McCloy, C.D.W. Wilkinson, Catherine C. Berry, Adam Curtis, Gordon Campbell, Duncan S. Sutherland, S. Affrossman and Hossein Agheli and has published in prestigious journals such as Nucleic Acids Research, Biomaterials and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mary Robertson

9 papers receiving 984 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Robertson United Kingdom 8 712 238 207 192 179 9 1.0k
Terje Sjöström United Kingdom 17 819 1.2× 197 0.8× 129 0.6× 245 1.3× 181 1.0× 20 1.1k
David McCloy United Kingdom 7 627 0.9× 169 0.7× 158 0.8× 90 0.5× 172 1.0× 9 744
B. A. Dalton Australia 16 564 0.8× 281 1.2× 321 1.6× 151 0.8× 171 1.0× 29 1.2k
Amber A. Sawyer United States 13 589 0.8× 105 0.4× 330 1.6× 186 1.0× 246 1.4× 14 973
Andrés J. Garcı́a United States 17 923 1.3× 226 0.9× 350 1.7× 487 2.5× 372 2.1× 20 1.7k
Mairead A. Wood United Kingdom 11 585 0.8× 207 0.9× 162 0.8× 71 0.4× 107 0.6× 20 771
E. T. den Braber Netherlands 7 499 0.7× 195 0.8× 168 0.8× 44 0.2× 132 0.7× 9 693
Hélène Autefage United Kingdom 15 563 0.8× 125 0.5× 287 1.4× 204 1.1× 231 1.3× 19 1.0k
Kristin M. Hennessy United States 10 531 0.7× 67 0.3× 274 1.3× 219 1.1× 196 1.1× 11 854
J.O. Gallagher United Kingdom 7 653 0.9× 251 1.1× 218 1.1× 84 0.4× 120 0.7× 8 906

Countries citing papers authored by Mary Robertson

Since Specialization
Citations

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

Fields of papers citing papers by Mary Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Robertson

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Robertson. A scholar is included among the top collaborators of Mary Robertson 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 Mary Robertson. Mary Robertson 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.
Cassidy, John W., Mary Robertson, Kate L. White, et al.. (2013). Osteogenic lineage restriction by osteoprogenitors cultured on nanometric grooved surfaces: The role of focal adhesion maturation. Acta Biomaterialia. 10(2). 651–660. 54 indexed citations
2.
Sørensen, Annette, et al.. (2007). Long-term neurite orientation on astrocyte monolayers aligned by microtopography. Biomaterials. 28(36). 5498–5508. 53 indexed citations
3.
Dalby, Matthew J., David McCloy, Mary Robertson, et al.. (2006). Osteoprogenitor response to semi-ordered and random nanotopographies. Biomaterials. 27(15). 2980–2987. 271 indexed citations
4.
Dalby, Matthew J., David McCloy, Mary Robertson, C.D.W. Wilkinson, & Richard O. C. Oreffo. (2005). Osteoprogenitor response to defined topographies with nanoscale depths. Biomaterials. 27(8). 1306–1315. 256 indexed citations
5.
Berry, Catherine C., et al.. (2004). The influence of microscale topography on fibroblast attachment and motility. Biomaterials. 25(26). 5781–5788. 230 indexed citations
6.
Petty, Jeffrey T., et al.. (2000). Thermodynamic Characterization of the Association of Cyanine Dyes with DNA. The Journal of Physical Chemistry B. 104(30). 7221–7227. 68 indexed citations
7.
Robertson, Mary. (1996). Exploring the Relationship Between the Use of Information Technologies and Voluntary Participation in a Rural Area of Northern Ontario. Community Development Society Journal. 27(1). 17–34. 2 indexed citations
8.
Forbes, John, et al.. (1983). The external transcribed spacer and preceding region ofXenopus borealisrDNA: comparison with the corresponding region ofXenopus laevisrDNA. Nucleic Acids Research. 11(23). 8183–8196. 41 indexed citations
9.
Robertson, Mary, et al.. (1959). THE INFLUENCE OF ESTROGEN ON THE SECRETION, DISPOSITION AND BIOLOGIC ACTIVITY OF CORTISOL*. The Journal of Clinical Endocrinology & Metabolism. 19(11). 1381–1398. 30 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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