Luc Malaval

98 papers receiving 6.5k citations

Luc Malaval's Hit Papers

SERUM BONE GLA-PROTEIN: A SPECIFIC MARKER FOR BONE FORMATION IN POSTMENOPAUSAL OSTEOPOROSIS 1984 · 605 citations
6050+14+28Years since publication200400600

Peers

Luc Malaval
Comparison fields: 5 of 119
  • Orthopedics and Sports Medicine 1.5k
  • Rheumatology 783
  • Genetics 421
  • Endocrinology, Diabetes and Metabolism 772
  • Molecular Biology 2.2k
Replace Robert J. Majeska with:
Robert J. Majeska United States
Johan N.M. Heersche Canada
Harry C. Blair United States
Stephen E. Harris United States
Masaki Noda Japan
Jon E. Wergedal United States
Thorsten Schinke Germany
Hidehiro Ozawa Japan
Norio Amizuka Japan
Hua Zhu Ke United States
Luc Malaval relative to Robert J. Majeska United States Robert J. Majeska's profile →
Citations per field
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Citations per year

Countries citing papers authored by Luc Malaval

Since Specialization
Citations

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

Fields of papers citing papers by Luc Malaval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SERUM BONE GLA-PROTEIN: A SPECIFIC MARKER FOR BONE FORMATION IN POSTMENOPAUSAL OSTEOPOROSIS
Hit paper breakdown →
1984605
2 1995521
3 1994332
4 1997301
5 2007282
6 1999254
7 2001226
8 2008220
9 2008203
10 1985172
11 2002168
12 2007134
13 1994131
14 1986128
15 2003103
16 2014103
17 1997100
18 198696
19 200792
20 201189

About Luc Malaval

Luc Malaval is a scholar working on Rheumatology, Orthopedics and Sports Medicine, Molecular Biology, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 98 papers that have together received 6.8k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (39 papers), Bone and Dental Protein Studies (29 papers), Bone health and osteoporosis research (20 papers), Bone Tissue Engineering Materials (10 papers), Thyroid Disorders and Treatments (4 papers), Marine Invertebrate Physiology and Ecology (3 papers), Cellular Mechanics and Interactions (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.5k citations), Rheumatology (783 citations), Genetics (421 citations), Endocrinology, Diabetes and Metabolism (772 citations) and Molecular Biology (2.2k citations). Luc Malaval has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Jane E. Aubin, Pierre Dominique Delmas, Laurence Vico, Ashwani Gupta, Marie‐Hélène Lafage‐Proust, Pierre Jean Meunier, Fina Liu, F. Liu, M. C. Chapuy and Claude M. Edouard. Their work appears in journals such as Bone, Journal of Bone and Mineral Research, Journal of Cellular Physiology, Journal of Cellular Biochemistry and Endocrinology.

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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