K. Fuller

7.6k total citations
65 papers, 6.1k citations indexed

About

K. Fuller is a scholar working on Molecular Biology, Oncology and Orthopedics and Sports Medicine. According to data from OpenAlex, K. Fuller has authored 65 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 44 papers in Oncology and 19 papers in Orthopedics and Sports Medicine. Recurrent topics in K. Fuller's work include Bone Metabolism and Diseases (48 papers), Bone health and treatments (41 papers) and Bone health and osteoporosis research (12 papers). K. Fuller is often cited by papers focused on Bone Metabolism and Diseases (48 papers), Bone health and treatments (41 papers) and Bone health and osteoporosis research (12 papers). K. Fuller collaborates with scholars based in United Kingdom, United States and Australia. K. Fuller's co-authors include T.J. Chambers, Timothy Chambers, Tim Chambers, Barrie Kirstein, Jenny M. Lean, Simon W. Fox, N A Athanasou, B.M. Thomson, Yongwon Choi and J. Owens and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.

In The Last Decade

K. Fuller

64 papers receiving 5.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Fuller United Kingdom 40 4.2k 2.8k 1.2k 979 786 65 6.1k
Takuhiko Akatsu Japan 32 4.5k 1.1× 3.4k 1.2× 1.1k 0.9× 932 1.0× 735 0.9× 54 6.3k
Tatsuo Suda Japan 13 3.4k 0.8× 2.5k 0.9× 870 0.7× 698 0.7× 611 0.8× 14 4.5k
Joseph Lorenzo United States 43 4.2k 1.0× 2.7k 1.0× 1.2k 1.0× 799 0.8× 907 1.2× 85 6.4k
Yoshiyuki Hakeda Japan 43 3.4k 0.8× 2.0k 0.7× 735 0.6× 771 0.8× 739 0.9× 89 5.4k
Xu Feng United States 33 4.0k 1.0× 2.1k 0.8× 943 0.8× 683 0.7× 835 1.1× 80 5.9k
Yoshiaki Azuma Japan 41 4.9k 1.2× 2.1k 0.8× 1.6k 1.3× 651 0.7× 628 0.8× 108 7.8k
Merry Jo Oursler United States 45 5.1k 1.2× 2.5k 0.9× 1.9k 1.5× 769 0.8× 923 1.2× 99 7.9k
Hiromi Oda Japan 33 3.3k 0.8× 2.0k 0.7× 701 0.6× 1.3k 1.3× 892 1.1× 96 5.5k
Masamichi Takami Japan 33 3.4k 0.8× 2.0k 0.7× 647 0.5× 861 0.9× 820 1.0× 110 4.9k
Sevgi B. Rodan United States 39 3.1k 0.7× 1.9k 0.7× 513 0.4× 658 0.7× 500 0.6× 72 5.1k

Countries citing papers authored by K. Fuller

Since Specialization
Citations

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

Fields of papers citing papers by K. Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Fuller

This figure shows the co-authorship network connecting the top 25 collaborators of K. Fuller. A scholar is included among the top collaborators of K. Fuller 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 K. Fuller. K. Fuller 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.
Davies, Jane, Joshua S. Davis, Paula Binks, et al.. (2022). Eliminating chronic hepatitis B in the northern territory of Australia through a holistic care package delivered in partnership with the community. Journal of Hepatology. 77. S239–S240. 5 indexed citations
2.
Fuller, K., Anthony P. Albert, Grisha Pirianov, et al.. (2011). Urocortin is a novel regulator of osteoclast differentiation and function through inhibition of a canonical transient receptor potential 1-like cation channel. Journal of Endocrinology. 212(2). 187–197. 12 indexed citations
3.
Fuller, K., et al.. (2010). Bone Is Not Essential for Osteoclast Activation. PLoS ONE. 5(9). e12837–e12837. 41 indexed citations
4.
Fuller, K., Erik Lindström, Michael Edlund, et al.. (2010). The resorptive apparatus of osteoclasts supports lysosomotropism and increases potency of basic versus non-basic inhibitors of cathepsin K. Bone. 46(5). 1400–1407. 7 indexed citations
5.
Fuller, K., Kevin M. Lawrence, Urszula Grabowska, et al.. (2007). Cathepsin K inhibitors prevent matrix-derived growth factor degradation by human osteoclasts. Bone. 42(1). 200–211. 98 indexed citations
6.
Kirstein, Barrie, Urszula Grabowska, Bertil Samuelsson, et al.. (2006). A novel assay for analysis of the regulation of the function of human osteoclasts. Journal of Translational Medicine. 4(1). 45–45. 11 indexed citations
7.
Lean, Jenny M., et al.. (2004). Hydrogen Peroxide Is Essential for Estrogen-Deficiency Bone Loss and Osteoclast Formation. Endocrinology. 146(2). 728–735. 283 indexed citations
8.
Lean, Jenny M., et al.. (2002). CCL9/MIP‐1γ and its receptor CCR1 are the major chemokine ligand/receptor species expressed by osteoclasts. Journal of Cellular Biochemistry. 87(4). 386–393. 127 indexed citations
9.
Fuller, K., et al.. (2002). TNFα Potently Activates Osteoclasts, through a Direct Action Independent of and Strongly Synergistic with RANKL. Endocrinology. 143(3). 1108–1118. 271 indexed citations
10.
11.
Fox, Simon W., et al.. (2000). TGF-β1 and IFN-γ Direct Macrophage Activation by TNF-α to Osteoclastic or Cytocidal Phenotype. The Journal of Immunology. 165(9). 4957–4963. 58 indexed citations
12.
Fuller, K., et al.. (2000). Activin A Is an Essential Cofactor for Osteoclast Induction. Biochemical and Biophysical Research Communications. 268(1). 2–7. 88 indexed citations
13.
Hall, Tony J., et al.. (1995). The Role of Reactive Oxygen Intermediates in Osteoclastic Bone Resorption. Biochemical and Biophysical Research Communications. 207(1). 280–287. 94 indexed citations
14.
Fuller, K., J. Owens, & T.J. Chambers. (1995). The Effect of Hepatocyte Growth Factor on the Behavior of Osteoclasts. Biochemical and Biophysical Research Communications. 212(2). 334–340. 54 indexed citations
15.
Gallagher, A, et al.. (1992). Generation of cell lines with potent ability to induce osteoclastic differentiation and stimulate osteoclastic function. Bone and Mineral. 17. 199–199. 1 indexed citations
16.
Fuller, K., T.J. Chambers, & A Gallagher. (1991). Heparin augments osteoclast resorption‐stimulating activity in serum. Journal of Cellular Physiology. 147(2). 208–214. 39 indexed citations
17.
Chambers, T.J., Paul M.J. McSheehy, B.M. Thomson, & K. Fuller. (1985). The Effect of Calcium-Regulating Hormones and Prostaglandins on Bone Resorption by Osteoclasts Disaggregated from Neonatal Rabbit Bones*. Endocrinology. 116(1). 234–239. 344 indexed citations
18.
Chambers, T.J., K. Fuller, Paul M.J. McSheehy, & J. Pringle. (1985). The effects of calcium regulating hormones on bone resorption by isolated human osteoclastoma cells. The Journal of Pathology. 145(4). 297–305. 121 indexed citations
19.
Horton, M. A., Eric Rimmer, D. Lewis, et al.. (1984). Cell surface characterization of the human osteoclast: Phenotypic relationship to other bone marrow‐derived cell types. The Journal of Pathology. 144(4). 281–294. 86 indexed citations
20.
Fuller, K., et al.. (1968). Tissue 3Vicia Faba. Journal of Experimental Botany. 19(4). 667–680. 15 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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