S.H. Laval
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
-
- Cellular Mechanics and Interactions
Papers in
-
- Muscle Physiology and Disorders 4
- Co-authors
- Robin Butler (2 shared papers)Andrew N. Shelling (2 shared papers)Trivadi S. Ganesan (2 shared papers)Hanns Lochmüller (7 shared papers)A M Hanby (1 shared paper)Richard Poulsom (1 shared paper)Volker Straub (3 shared papers)Manuel Koch (1 shared paper)
- Journals
- Human Molecular Genetics (2 papers)Journal of the Neurological Sciences (1 paper)PLoS Currents (1 paper)Biomolecules (1 paper)Stem Cells and Development (1 paper)
- Partner nations
- United KingdomGermanyBelgium
In The Last Decade
S.H. Laval
12 papers receiving 244 citations
Peers
Comparison fields: 5 of 53
- Immunology and Allergy 82
- Cell Biology 54
- Genetics 64
- Molecular Biology 136
- Radiology, Nuclear Medicine and Imaging 39
Countries citing papers authored by S.H. Laval
This map shows the geographic impact of S.H. Laval'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 S.H. Laval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.H. Laval more than expected).
Fields of papers citing papers by S.H. Laval
This network shows the impact of papers produced by S.H. Laval. 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 S.H. Laval. The network helps show where S.H. Laval may publish in the future.
Co-authors
The 25 scholars most cited alongside S.H. Laval, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 81 | |
| 2 | Isolation and characterization of an epithelial-specific receptor tyrosine kinase from an ovarian cancer cell line. | 1994 | 62 |
| 3 | 1990 | 39 | |
| 4 | 2011 | 20 | |
| 5 | 1995 | 17 | |
| 6 | 2015 | 13 | |
| 7 | 2013 | 7 | |
| 8 | 2013 | 5 | |
| 9 | 2016 | 2 | |
| 10 | 2015 | 2 | |
| 11 | Linkage analysis of potential rheumatoid arthritis non-HLA susceptibility loci. | 2000 | 1 |
| 12 | Confirmation of non-MHC genetic loci by whole genome linkage studies in ankylosing spondylitis. | 2000 | 1 |
About S.H. Laval
S.H. Laval is a scholar working on Molecular Biology, Rheumatology, Radiology, Nuclear Medicine and Imaging, Neurology and Oncology, having authored 12 papers that have together received 250 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cell Adhesion Molecules Research (2 papers), Myasthenia Gravis and Thymoma (2 papers), interferon and immune responses (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Calpain Protease Function and Regulation (1 paper). The work is most often cited by research in Immunology and Allergy (82 citations), Cell Biology (54 citations), Genetics (64 citations), Molecular Biology (136 citations) and Radiology, Nuclear Medicine and Imaging (39 citations). S.H. Laval has collaborated with scholars based in United Kingdom, Germany and Belgium. Frequent co-authors include Robin Butler, Andrew N. Shelling, Trivadi S. Ganesan, Hanns Lochmüller, A M Hanby, Richard Poulsom, Volker Straub, Manuel Koch, Anna Sárközy and Debbie Hicks. Their work appears in journals such as Human Molecular Genetics, Journal of the Neurological Sciences, PLoS Currents, Biomolecules and Stem Cells and Development.
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.