Matthew L. Warman
- Molecular Biology top 0.5%
- Genetics top 0.1%
- Rheumatology top 0.1%
- Surgery top 0.5%
- Oncology top 1%
- Co-authors
- John B. MullikenGregory D. JayRandall L. MynattJerilyn A. WalkerAlycia A. TruettGary E. TruettPeter S. HeegerBjørn R. Olsen
- Topics
- Connective tissue disorders research (44 papers)Cell Adhesion Molecules Research (25 papers)Osteoarthritis Treatment and Mechanisms (24 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Matthew L. Warman
168 papers receiving 14.8k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 7.2k
- Genetics 4.7k
- Rheumatology 3.3k
- Surgery 3.0k
- Oncology 2.3k
Countries citing papers authored by Matthew L. Warman
This map shows the geographic impact of Matthew L. Warman'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 Matthew L. Warman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew L. Warman more than expected).
Fields of papers citing papers by Matthew L. Warman
This network shows the impact of papers produced by Matthew L. Warman. 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 Matthew L. Warman. The network helps show where Matthew L. Warman may publish in the future.
Co-authorship network of co-authors of Matthew L. Warman
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew L. Warman. A scholar is included among the top collaborators of Matthew L. Warman 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 Matthew L. Warman. Matthew L. Warman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | Nosology and classification of genetic skeletal disorders: 2015 revisionbreakdown → | 367 |
| 4 | Missense Mutations in LRP5 Associated with High Bone Mass Protect the Mouse Skeleton from Disuse- and Ovariectomy-Induced Osteopenia | 1 |
| 5 | 65 | |
| 6 | 66 | |
| 7 | Nosology and classification of genetic skeletal disorders: 2010 revisionbreakdown → | 450 |
| 8 | 90 | |
| 9 | 106 | |
| 10 | 115 | |
| 11 | 199 | |
| 12 | 203 | |
| 13 | 424 | |
| 14 | 404 | |
| 15 | 50 | |
| 16 | 53 | |
| 17 | 192 | |
| 18 | 90 | |
| 19 | 94 | |
| 20 | Vascular Dysmorphogenesis Caused by an Activating Mutation in the Receptor Tyrosine Kinase TIE2breakdown → | 562 |
About Matthew L. Warman
Matthew L. Warman is a scholar working on Developmental Biology, Immunology and Allergy and Rheumatology, having authored 170 papers that have together received 15.1k indexed citations. Recurring topics across this work include Connective tissue disorders research (44 papers), Cell Adhesion Molecules Research (25 papers) and Osteoarthritis Treatment and Mechanisms (24 papers). The work is most often cited by research in Rheumatology (3.3k citations), Immunology and Allergy (1.0k citations) and Genetics (4.7k citations). Matthew L. Warman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John B. Mulliken, Gregory D. Jay, Randall L. Mynatt, Jerilyn A. Walker, Alycia A. Truett, Gary E. Truett, Peter S. Heeger, Bjørn R. Olsen, Minrong Ai and Miikka Vikkula. Their work appears in journals such as New England Journal of Medicine, Cell and Proceedings of the National Academy of Sciences.
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.