T.J. Chambers

11.0k total citations · 1 hit paper
133 papers, 9.0k citations indexed

About

T.J. Chambers is a scholar working on Molecular Biology, Oncology and Orthopedics and Sports Medicine. According to data from OpenAlex, T.J. Chambers has authored 133 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 69 papers in Oncology and 36 papers in Orthopedics and Sports Medicine. Recurrent topics in T.J. Chambers's work include Bone Metabolism and Diseases (72 papers), Bone health and treatments (61 papers) and Bone health and osteoporosis research (35 papers). T.J. Chambers is often cited by papers focused on Bone Metabolism and Diseases (72 papers), Bone health and treatments (61 papers) and Bone health and osteoporosis research (35 papers). T.J. Chambers collaborates with scholars based in United Kingdom, United States and Austria. T.J. Chambers's co-authors include K. Fuller, Paul M.J. McSheehy, J.W.M. Chow, Gary Hattersley, Carol Jagger, Christopher Magnus, Jonathan H. Tobias, Jenny M. Lean, Adrienne M. Flanagan and J. Owens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

T.J. Chambers

130 papers receiving 8.6k citations

Hit Papers

Calcitonin alters behaviour of isolated osteoclasts 1982 2026 1996 2011 1982 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T.J. Chambers United Kingdom 57 5.5k 3.9k 2.1k 1.3k 984 133 9.0k
H. Kalervo Väänänen Finland 58 6.5k 1.2× 4.3k 1.1× 3.0k 1.5× 1.4k 1.0× 891 0.9× 188 11.4k
Anna Teti Italy 58 6.5k 1.2× 3.4k 0.9× 1.4k 0.7× 1.3k 1.0× 979 1.0× 231 10.6k
Stephen E. Harris United States 51 7.7k 1.4× 2.9k 0.7× 1.7k 0.8× 1.8k 1.4× 1.5k 1.6× 153 12.8k
Maxine Gowen United States 55 5.6k 1.0× 3.3k 0.9× 1.5k 0.7× 2.3k 1.7× 811 0.8× 122 10.0k
Kyoji Ikeda Japan 57 6.7k 1.2× 4.2k 1.1× 1.8k 0.9× 609 0.5× 976 1.0× 135 10.6k
Shusaku Yoshiki Japan 31 6.1k 1.1× 2.7k 0.7× 1.1k 0.5× 2.1k 1.6× 1.2k 1.2× 77 9.8k
Larry J. Suva United States 52 6.3k 1.1× 4.8k 1.2× 1.7k 0.8× 778 0.6× 1.2k 1.2× 220 11.4k
G. David Roodman United States 63 7.1k 1.3× 7.2k 1.9× 1.9k 0.9× 1.6k 1.2× 839 0.9× 198 13.0k
Keith A. Hruska United States 68 7.1k 1.3× 2.6k 0.7× 1.2k 0.6× 1.9k 1.5× 1.9k 2.0× 269 15.2k
Roberto Civitelli United States 64 6.5k 1.2× 2.6k 0.7× 3.1k 1.5× 680 0.5× 1.3k 1.4× 194 11.2k

Countries citing papers authored by T.J. Chambers

Since Specialization
Citations

This map shows the geographic impact of T.J. Chambers'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 T.J. Chambers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.J. Chambers more than expected).

Fields of papers citing papers by T.J. Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.J. Chambers. 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 T.J. Chambers. The network helps show where T.J. Chambers may publish in the future.

Co-authorship network of co-authors of T.J. Chambers

This figure shows the co-authorship network connecting the top 25 collaborators of T.J. Chambers. A scholar is included among the top collaborators of T.J. Chambers 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 T.J. Chambers. T.J. Chambers 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
2.
Chambers, T.J., et al.. (2000). Multiple Promoters Regulate Human Calcitonin Receptor Gene Expression. Biochemical and Biophysical Research Communications. 272(3). 738–743. 6 indexed citations
3.
Chow, J.W.M., Carol Jagger, & T.J. Chambers. (1996). Reduction in dynamic indices of cancellous bone formation in rat tail vertebrae after caudal neurectomy. Calcified Tissue International. 59(2). 117–120. 6 indexed citations
4.
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
5.
Tobias, Jonathan H., A Gallagher, & T.J. Chambers. (1994). 5 alpha-Dihydrotestosterone partially restores cancellous bone volume in osteopenic ovariectomized rats. American Journal of Physiology-Endocrinology and Metabolism. 267(6). E853–E859. 29 indexed citations
6.
Gallagher, A, T.J. Chambers, & Jonathan H. Tobias. (1993). The estrogen antagonist ICI 182,780 reduces cancellous bone volume in female rats.. Endocrinology. 133(6). 2787–2791. 77 indexed citations
7.
Allain, TJ, T.J. Chambers, Adrienne M. Flanagan, & A. M. McGregor. (1992). Tri-iodothyronine stimulates rat osteoclastic bone resorption by an indirect effect. Journal of Endocrinology. 133(3). 327–331. 63 indexed citations
8.
Hattersley, Gary, J. Owens, Adrienne M. Flanagan, & T.J. Chambers. (1991). Macrophage colony stimulating factor (M-CSF) is essential for osteoclast formation in vitro. Biochemical and Biophysical Research Communications. 177(1). 526–531. 116 indexed citations
9.
Hattersley, Gary, Julie Kerby, & T.J. Chambers. (1991). Identification of Osteoclast Precursors in Multilineage Hemopoietic Colonies*. Endocrinology. 128(1). 259–262. 63 indexed citations
10.
Zaidi, Mone, Susan D. Brain, John R. Tippins, et al.. (1990). Structure-activity relationship of human calcitonin-gene-related peptide. Biochemical Journal. 269(3). 775–780. 39 indexed citations
11.
Tobias, Jonathan H. & T.J. Chambers. (1989). Symptoms of oestrogen deficiency in women with oestradiol implants. BMJ. 299(6703). 854.5–854. 2 indexed citations
13.
Hayman, Alison R., Michael J. Warburton, J. Pringle, B Coles, & T.J. Chambers. (1989). Purification and characterization of a tartrate-resistant acid phosphatase from human osteoclastomas. Biochemical Journal. 261(2). 601–609. 91 indexed citations
14.
McSheehy, Paul M.J. & T.J. Chambers. (1987). 1,25-Dihydroxyvitamin D3 stimulates rat osteoblastic cells to release a soluble factor that increases osteoclastic bone resorption.. Journal of Clinical Investigation. 80(2). 425–429. 180 indexed citations
15.
McSheehy, Paul M.J. & T.J. Chambers. (1986). Osteoblastic Cells Mediate Osteoclastic Responsiveness to Parathyroid Hormone*. Endocrinology. 118(2). 824–828. 309 indexed citations
16.
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
17.
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
18.
Rustin, M.H.A., T.J. Chambers, & D.D. MUNRO. (1984). Post-traumatic basal cell carcinomas. Clinical and Experimental Dermatology. 9(4). 379–383. 5 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.
Chambers, T.J. & B C Morson. (1979). The granuloma in Crohn's disease.. Gut. 20(4). 269–274. 101 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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