Mark B. Harvey

1.8k total citations
27 papers, 1.5k citations indexed

About

Mark B. Harvey is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Mark B. Harvey has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Public Health, Environmental and Occupational Health and 8 papers in Genetics. Recurrent topics in Mark B. Harvey's work include Reproductive Biology and Fertility (11 papers), Pluripotent Stem Cells Research (9 papers) and Reproductive System and Pregnancy (7 papers). Mark B. Harvey is often cited by papers focused on Reproductive Biology and Fertility (11 papers), Pluripotent Stem Cells Research (9 papers) and Reproductive System and Pregnancy (7 papers). Mark B. Harvey collaborates with scholars based in Australia, Canada and United States. Mark B. Harvey's co-authors include P. L. Kaye, P. L. Kaye, Gilbert A. Schultz, Mayi Arcellana‐Panlilio, Dylan R. Edwards, Kevin J. Leco, Marie Pantaleon, Adrian C. Herington, Eliza Whiteside and Andrew J. Watson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Development and Endocrinology.

In The Last Decade

Mark B. Harvey

27 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark B. Harvey Australia 19 787 666 437 339 281 27 1.5k
Mareo Yamoto Japan 22 556 0.7× 601 0.9× 272 0.6× 195 0.6× 103 0.4× 59 1.4k
Colin D. MacCalman Canada 29 388 0.5× 647 1.0× 608 1.4× 241 0.7× 203 0.7× 50 1.8k
Kimitoshi Imai Japan 21 193 0.2× 241 0.4× 488 1.1× 136 0.4× 60 0.2× 40 1.2k
Mark A. Edson United States 12 511 0.6× 474 0.7× 172 0.4× 203 0.6× 60 0.2× 17 1.1k
M Antczak United States 10 683 0.9× 527 0.8× 160 0.4× 114 0.3× 247 0.9× 11 1.2k
Petr Kašpar Czechia 7 422 0.5× 548 0.8× 1.3k 2.9× 255 0.8× 71 0.3× 12 1.8k
Nelson A. Arango United States 13 500 0.6× 929 1.4× 243 0.6× 660 1.9× 80 0.3× 17 1.5k
Richard C. Ragin United States 10 608 0.8× 678 1.0× 69 0.2× 415 1.2× 79 0.3× 10 1.4k
Mikihiro Yoshie Japan 21 135 0.2× 276 0.4× 475 1.1× 126 0.4× 84 0.3× 51 952
Heather L. Franco United States 19 399 0.5× 590 0.9× 956 2.2× 459 1.4× 58 0.2× 22 1.7k

Countries citing papers authored by Mark B. Harvey

Since Specialization
Citations

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

Fields of papers citing papers by Mark B. Harvey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark B. Harvey. 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 Mark B. Harvey. The network helps show where Mark B. Harvey may publish in the future.

Co-authorship network of co-authors of Mark B. Harvey

This figure shows the co-authorship network connecting the top 25 collaborators of Mark B. Harvey. A scholar is included among the top collaborators of Mark B. Harvey 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 Mark B. Harvey. Mark B. Harvey 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.
Whiteside, Eliza, et al.. (2003). Elevated concentration of TNF-? induces trophoblast differentiation in mouse blastocyst outgrowths. Cell and Tissue Research. 314(2). 275–280. 20 indexed citations
2.
Whiteside, Eliza, et al.. (2001). Matrix Metalloproteinase-9 and Tissue Inhibitor of Metalloproteinase-3 Are Key Regulators of Extracellular Matrix Degradation by Mouse Embryos1. Biology of Reproduction. 64(5). 1331–1337. 57 indexed citations
3.
Whiteside, Eliza, et al.. (2001). Urokinase-type plasminogen activator (uPA) and matrix metalloproteinase-9 (MMP-9) expression and activity during early embryo development in the cow. Anatomy and Embryology. 204(6). 477–483. 11 indexed citations
4.
Bany, Brent M., et al.. (2000). Expression of matrix metalloproteinases 2 and 9 in the mouse uterus during implantation and oil-induced decidualization. Reproduction. 120(1). 125–134. 50 indexed citations
5.
McCulloch, Daniel R., Mark B. Harvey, & Adrian C. Herington. (2000). The expression of the ADAMs proteases in prostate cancer cell lines and their regulation by dihydrotestosterone. Molecular and Cellular Endocrinology. 167(1-2). 11–21. 69 indexed citations
6.
7.
Leco, Kevin J., Mark B. Harvey, Aileen Hogan, et al.. (1997). Matrix metalloproteinase-9 maps to the distal end of chromosome 2 in the mouse. Developmental Genetics. 21(1). 55–60. 4 indexed citations
8.
Pantaleon, Marie, Mark B. Harvey, Wendy S. Pascoe, David E. James, & P. L. Kaye. (1997). Glucose transporter GLUT3: Ontogeny, targeting, and role in the mouse blastocyst. Proceedings of the National Academy of Sciences. 94(8). 3795–3800. 128 indexed citations
9.
Harvey, Mark B., et al.. (1996). Regulation of Urokinase Plasminogen Activator Production in Implanting Mouse Embryo: Effect of Embryo Interaction with Extracellular Matrix1. Biology of Reproduction. 54(5). 1052–1058. 29 indexed citations
10.
Harvey, Mark B., et al.. (1995). Endocrinology and paracrinology: Roles of growth factors during peri-implantation development. Human Reproduction. 10(3). 712–718. 83 indexed citations
11.
12.
Schultz, Gilbert A., et al.. (1993). Expression of IGF ligand and receptor genes during preimplantation mammalian development. Molecular Reproduction and Development. 35(4). 414–420. 45 indexed citations
13.
Houseal, T.W., et al.. (1993). Selection of transgenic preimplantation mouse embryos using fluorescence hybridization. Theriogenology. 39(1). 258–258. 5 indexed citations
14.
Harvey, Mark B. & P. L. Kaye. (1992). Mediation of the actions of insulin and insulin‐like growth factor‐1 on preimplantation mouse embryos in vitro. Molecular Reproduction and Development. 33(3). 270–275. 31 indexed citations
15.
Harvey, Mark B. & P. L. Kaye. (1992). Insulin‐like growth factor‐1 stimulates growth of mouse preimplantation embryos in vitro. Molecular Reproduction and Development. 31(3). 195–199. 125 indexed citations
16.
Harvey, Mark B. & P. L. Kaye. (1992). IGF-2 stimulates growth and metabolism of early mouse embryos. Mechanisms of Development. 38(3). 169–173. 50 indexed citations
17.
Harvey, Mark B. & P. L. Kaye. (1991). Mouse blastocysts respond metabolically to short‐term stimulation by insulin and IGF‐1 through the insulin receptor. Molecular Reproduction and Development. 29(3). 253–258. 74 indexed citations
18.
Harvey, Mark B. & P. L. Kaye. (1991). Visualization of insulin receptors on mouse pre-embryos. Reproduction Fertility and Development. 3(1). 9–15. 35 indexed citations
19.
Harvey, Mark B. & P. L. Kaye. (1989). Insulin & IGF-1 are anabolic & mitogenic in preimplantation mouse embryos. Cell Differentiation and Development. 27. 31–31. 6 indexed citations
20.
Harvey, Mark B. & P. L. Kaye. (1988). INSULIN STIMULATES PROTEIN SYNTHESIS IN COMPACTED MOUSE EMBRYOS. Endocrinology. 122(3). 1182–1184. 127 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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