Ernesto Canalis

32.3k citations
332 papers · 25.3k indexed · 8 hit papers · h-index 87

Impact in

Papers in

Ernesto Canalis

331 papers receiving 24.6k citations

Hit Papers

Growth Hormone, Insulin-Like Growth Factors, and the Skeleton 2008 · 669 citations
6691987202620002013250500750

Peers

Ernesto Canalis
Comparison fields: 5 of 166
  • Orthopedics and Sports Medicine 5.2k
  • Endocrinology, Diabetes and Metabolism 5.5k
  • Oncology 6.8k
  • Rheumatology 3.6k
  • Molecular Biology 14.5k
Replace Patricia Ducy with:
Patricia Ducy United States
Lynda F. Bonewald United States
Gideon A. Rodan United States
Gregory R. Mundy United States
Jane B. Lian United States
Lawrence G. Raisz United States
Roland Baron United States
Stavros C. Manolagas United States
David J. Baylink United States
Steven L. Teitelbaum United States
Ernesto Canalis relative to Patricia Ducy United States Patricia Ducy's profile →
Citations per field
00.5×1.5×2.0×
Patricia Ducy · 1×
Citations per year

Countries citing papers authored by Ernesto Canalis

Since Specialization
Citations

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

Fields of papers citing papers by Ernesto Canalis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ernesto Canalis, 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 Ernesto Canalis Line = papers co-authored together Ernesto Canalis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20225
2 20222
3 20198
4 201917
5 201917
6 201822
7 201810
8 20184
9 201869
10 201732
11 201727
12 20179
13 201150
14 20087
15 2001115
16 199929
17 199755
18 199635
19 199613
20 199250

About Ernesto Canalis

Ernesto Canalis is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine, Oncology, Molecular Biology and Rheumatology, having authored 332 papers that have together received 25.3k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (138 papers), TGF-β signaling in diseases (105 papers), Bone health and treatments (100 papers), Growth Hormone and Insulin-like Growth Factors (83 papers), Bone health and osteoporosis research (37 papers), Developmental Biology and Gene Regulation (34 papers), Cancer, Hypoxia, and Metabolism (26 papers) and Connective tissue disorders research (22 papers). The work is most often cited by research in Orthopedics and Sports Medicine (5.2k citations), Endocrinology, Diabetes and Metabolism (5.5k citations), Oncology (6.8k citations), Rheumatology (3.6k citations) and Molecular Biology (14.5k citations). Ernesto Canalis has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include Thomas L. McCarthy, Andrea Giustina, Anne M. Delany, Stefano Zanotti, Gherardo Mazziotti, Elisabetta Gazzerro, John P. Bilezikian, Lawrence G. Raisz, Janet M. Hock and Sheila Rydziel. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Bone, Journal of Cellular Physiology and Journal of Cellular Biochemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026