T.J. Chambers

132 papers receiving 9.2k citations

T.J. Chambers's Hit Papers

Calcitonin alters behaviour of isolated osteoclasts 1982 · 460 citations
4600+14+29Years since publication100200300400

Peers

T.J. Chambers
Comparison fields: 5 of 145
  • Orthopedics and Sports Medicine 2.2k
  • Oncology 4.1k
  • Rheumatology 1.4k
  • Immunology and Allergy 523
  • Molecular Biology 5.9k
Replace H. Kalervo Väänänen with:
H. Kalervo Väänänen Finland
Maxine Gowen United States
Anna Teti Italy
W. Scott Simonet United States
Matthew T. Gillespie Australia
Johan N.M. Heersche Canada
Mark C. Horowitz United States
Shusaku Yoshiki Japan
Nicola C. Partridge United States
Natalie A. Sims Australia
T.J. Chambers relative to H. Kalervo Väänänen Finland H. Kalervo Väänänen's profile →
Citations per field
00.5×1.5×
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 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Calcitonin alters behaviour of isolated osteoclasts
Hit paper breakdown →
1982460
2 1984395
3 1985391
4 1986361
5 1993329
6 2000278
7 1986272
8 1992231
9 1987199
10 1997191
11 1980191
12 1978191
13 1985187
14 1989183
15 2000178
16 1995173
17 1996155
18 1989141
19 1993138
20 1994130

About T.J. Chambers

T.J. Chambers is a scholar working on Molecular Biology, Oncology, Orthopedics and Sports Medicine, Genetics and Rheumatology, having authored 135 papers that have together received 9.9k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (72 papers), Bone health and treatments (62 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 (2.2k citations), Oncology (4.1k citations), Rheumatology (1.4k citations), Immunology and Allergy (523 citations) and Molecular Biology (5.9k 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 J. Magnus, Jonathan H. Tobias, Jenny M. Lean, Adrienne M. Flanagan and Simon W. Fox. 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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