Jennifer C. Utting

1.6k total citations
8 papers, 1.3k citations indexed

About

Jennifer C. Utting is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Jennifer C. Utting has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Jennifer C. Utting's work include Bone health and treatments (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Bone Metabolism and Diseases (3 papers). Jennifer C. Utting is often cited by papers focused on Bone health and treatments (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Bone Metabolism and Diseases (3 papers). Jennifer C. Utting collaborates with scholars based in United Kingdom and United States. Jennifer C. Utting's co-authors include Timothy R. Arnett, Isabel R. Orriss, Andrea Brandao‐Burch, Paul G. Genever, S. Leah Etheridge, Gary J. Spencer, T Arnett, S. P. Robins, José Behar and Astrid Hoebertz and has published in prestigious journals such as Journal of Cell Science, Endocrinology and Experimental Cell Research.

In The Last Decade

Jennifer C. Utting

8 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer C. Utting United Kingdom 8 552 329 253 209 169 8 1.3k
Andrea Brandao‐Burch United Kingdom 10 332 0.6× 185 0.6× 159 0.6× 115 0.6× 256 1.5× 11 976
Jung Ryul Kim South Korea 23 466 0.8× 431 1.3× 197 0.8× 140 0.7× 34 0.2× 92 1.7k
Lovisa Hessle United States 10 691 1.3× 197 0.6× 393 1.6× 41 0.2× 84 0.5× 10 2.0k
Yoshinobu Shibasaki Japan 21 828 1.5× 318 1.0× 156 0.6× 102 0.5× 15 0.1× 52 1.7k
Kousuke Iba Japan 23 573 1.0× 370 1.1× 347 1.4× 182 0.9× 13 0.1× 138 1.8k
Jenna N. Regan United States 14 868 1.6× 214 0.7× 109 0.4× 247 1.2× 15 0.1× 27 1.3k
Masaaki Fukase Japan 27 1.1k 1.9× 678 2.1× 352 1.4× 83 0.4× 20 0.1× 111 2.3k
Trayana Kireva Germany 8 783 1.4× 175 0.5× 87 0.3× 103 0.5× 30 0.2× 10 1.4k
Nathan A. Wigner United States 13 316 0.6× 153 0.5× 137 0.5× 26 0.1× 70 0.4× 17 738
Fayez Safadi United States 17 909 1.6× 184 0.6× 136 0.5× 144 0.7× 12 0.1× 45 1.8k

Countries citing papers authored by Jennifer C. Utting

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer C. Utting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer C. Utting. 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 Jennifer C. Utting. The network helps show where Jennifer C. Utting may publish in the future.

Co-authorship network of co-authors of Jennifer C. Utting

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

All Works

8 of 8 papers shown
1.
Patel, Jessal J., Jennifer C. Utting, Michelle L. Key, et al.. (2012). Hypothermia inhibits osteoblast differentiation and bone formation but stimulates osteoclastogenesis. Experimental Cell Research. 318(17). 2237–2244. 19 indexed citations
2.
Utting, Jennifer C., Adrienne M. Flanagan, Andrea Brandao‐Burch, Isabel R. Orriss, & Timothy R. Arnett. (2010). Hypoxia stimulates osteoclast formation from human peripheral blood. Cell Biochemistry and Function. 28(5). 374–380. 80 indexed citations
3.
Orriss, Isabel R., Gillian E. Knight, Jennifer C. Utting, et al.. (2009). Hypoxia stimulates vesicular ATP release from rat osteoblasts. Journal of Cellular Physiology. 220(1). 155–162. 122 indexed citations
4.
Orriss, Isabel R., Jennifer C. Utting, Andrea Brandao‐Burch, et al.. (2007). Extracellular Nucleotides Block Bone Mineralization in Vitro: Evidence for Dual Inhibitory Mechanisms Involving Both P2Y2 Receptors and Pyrophosphate. Endocrinology. 148(9). 4208–4216. 120 indexed citations
5.
Utting, Jennifer C., S. P. Robins, Andrea Brandao‐Burch, et al.. (2006). Hypoxia inhibits the growth, differentiation and bone-forming capacity of rat osteoblasts. Experimental Cell Research. 312(10). 1693–1702. 245 indexed citations
6.
Spencer, Gary J., Jennifer C. Utting, S. Leah Etheridge, Timothy R. Arnett, & Paul G. Genever. (2006). Wnt signalling in osteoblasts regulates expression of the receptor activator of NFκB ligand and inhibits osteoclastogenesis in vitro. Journal of Cell Science. 119(7). 1283–1296. 257 indexed citations
7.
Brandao‐Burch, Andrea, Jennifer C. Utting, Isabel R. Orriss, & Timothy R. Arnett. (2005). Acidosis Inhibits Bone Formation by Osteoblasts In Vitro by Preventing Mineralization. Calcified Tissue International. 77(3). 167–174. 222 indexed citations
8.
Arnett, Timothy R., Daniel C. Gibbons, Jennifer C. Utting, et al.. (2003). Hypoxia is a major stimulator of osteoclast formation and bone resorption. Journal of Cellular Physiology. 196(1). 2–8. 257 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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