Robert M. Lauder
Impact in
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research
- Equine top 10%
Papers in
- Cell Biology 21
- Proteoglycans and glycosaminoglycans research 20
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- Glycosylation and Glycoproteins Research 14
- Co-authors
- Thomas N. Huckerby (18 shared papers)Ian A. Nieduszynski (17 shared papers)Z.F. Muhl (1 shared paper)Gavin M. Brown (4 shared papers)Michal Fried (1 shared paper)Patrick E. Duffy (1 shared paper)Michael T. Bayliss (2 shared papers)J.A. Morris (4 shared papers)
- Journals
- Biochemical Journal (5 papers)European Journal of Biochemistry (4 papers)Glycobiology (2 papers)Scientific Reports (1 paper)Complementary Therapies in Medicine (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Robert M. Lauder
38 papers receiving 656 citations
Peers
Comparison fields: 5 of 99
- Cell Biology 362
- Equine 13
- Rheumatology 104
- Food Science 82
- Molecular Biology 280
Countries citing papers authored by Robert M. Lauder
This map shows the geographic impact of Robert M. Lauder'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 Robert M. Lauder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Lauder more than expected).
Fields of papers citing papers by Robert M. Lauder
This network shows the impact of papers produced by Robert M. Lauder. 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 Robert M. Lauder. The network helps show where Robert M. Lauder may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert M. Lauder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 115 | |
| 2 | 1991 | 56 | |
| 3 | 2000 | 53 | |
| 4 | 2000 | 46 | |
| 5 | 2008 | 44 | |
| 6 | 2001 | 37 | |
| 7 | 2001 | 33 | |
| 8 | 2001 | 31 | |
| 9 | 2000 | 21 | |
| 10 | 2009 | 19 | |
| 11 | 1997 | 19 | |
| 12 | 2005 | 15 | |
| 13 | 2000 | 14 | |
| 14 | 1998 | 14 | |
| 15 | 1990 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2011 | 12 | |
| 18 | 2000 | 11 | |
| 19 | 2008 | 11 | |
| 20 | 1994 | 11 |
About Robert M. Lauder
Robert M. Lauder is a scholar working on Cell Biology, Molecular Biology, Rheumatology, Food Science and Epidemiology, having authored 38 papers that have together received 674 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (20 papers), Glycosylation and Glycoproteins Research (14 papers), Polysaccharides Composition and Applications (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Bone and Dental Protein Studies (3 papers), Respiratory viral infections research (3 papers), Polysaccharides and Plant Cell Walls (2 papers) and Plant Disease Resistance and Genetics (2 papers). The work is most often cited by research in Cell Biology (362 citations), Equine (13 citations), Rheumatology (104 citations), Food Science (82 citations) and Molecular Biology (280 citations). Robert M. Lauder has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Thomas N. Huckerby, Ian A. Nieduszynski, Z.F. Muhl, Gavin M. Brown, Michal Fried, Patrick E. Duffy, Michael T. Bayliss, J.A. Morris, Linda M. Harrison and Timothy R. Rudd. Their work appears in journals such as Biochemical Journal, European Journal of Biochemistry, Glycobiology, Scientific Reports and Complementary Therapies in Medicine.
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.