T.J. Chambers

130 papers receiving 8.6k citations

T.J. Chambers's Hit Papers

Calcitonin alters behaviour of isolated osteoclasts 1982 · 427 citations
4270+14+29Years since publication100200300400

Peers

T.J. Chambers
Comparison fields: 5 of 146
  • Orthopedics and Sports Medicine 2.1k
  • Oncology 3.9k
  • Rheumatology 1.3k
  • Immunology and Allergy 502
  • Molecular Biology 5.5k
Replace H. Kalervo Väänänen with:
H. Kalervo Väänänen Finland
Stephen E. Harris United States
Keith A. Hruska United States
Maxine Gowen United States
Anna Teti Italy
G. David Roodman United States
W. Scott Simonet United States
Shusaku Yoshiki Japan
Mark C. Horowitz United States
Larry J. Suva United States
T.J. Chambers relative to H. Kalervo Väänänen Finland H. Kalervo Väänänen's profile →
Citations per field
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H. Kalervo Väänänen · 1×
Citations per year

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-authors

The 25 scholars most cited alongside T.J. Chambers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T.J. Chambers Line = papers co-authored together T.J. Chambers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Calcitonin alters behaviour of isolated osteoclasts
Hit paper breakdown →
1982427
2 1984369
3 1985344
4 1986309
5 1993299
6 2000261
7 1986240
8 1992208
9 1978184
10 1997181
11 1987180
12 1980173
13 1985167
14 2000166
15 1989162
16 1995161
17 1996137
18 1993129
19 1989128
20 1984121

About T.J. Chambers

T.J. Chambers is a scholar working on Molecular Biology, Oncology, Orthopedics and Sports Medicine, Genetics and Rheumatology, having authored 133 papers that have together received 9.0k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (72 papers), Bone health and treatments (61 papers), Bone health and osteoporosis research (35 papers), Estrogen and related hormone effects (14 papers), Cell Adhesion Molecules Research (11 papers), Bone and Dental Protein Studies (10 papers), Neuropeptides and Animal Physiology (9 papers) and Immune Response and Inflammation (6 papers). The work is most often cited by research in Orthopedics and Sports Medicine (2.1k citations), Oncology (3.9k citations), Rheumatology (1.3k citations), Immunology and Allergy (502 citations) and Molecular Biology (5.5k citations). T.J. Chambers has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent 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. Their work appears in journals such as The Journal of Pathology, Bone, Endocrinology, Biochemical and Biophysical Research Communications and American Journal of Physiology-Endocrinology and Metabolism.

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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