Stuart M. Haslam
- Immunology top 0.5%
- Galectins and Cancer Biology 44
- Aging top 1%
- Molecular Biology top 0.5%
- Glycosylation and Glycoproteins Research 119
- Genomics and Phylogenetic Studies 10
- Parasitology top 1%
- Organic Chemistry top 0.5%
- Carbohydrate Chemistry and Synthesis 39
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- Monoclonal and Polyclonal Antibodies Research 27
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- Proteoglycans and glycosaminoglycans research 17
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- Influenza Virus Research Studies 10
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- Cell Adhesion Molecules Research 10
- Co-authors
- Anne DellHoward R. MorrisAlessio CeroniSimon J. NorthMaria PanicoAristotelis AntonopoulosKai MaaßHildegard Geyer
- Cited by
- ImmunologyAgingMolecular Biology
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Stuart M. Haslam
198 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Immunology 2.8k
- Aging 197
- Molecular Biology 7.6k
- Parasitology 566
- Organic Chemistry 2.2k
Countries citing papers authored by Stuart M. Haslam
This map shows the geographic impact of Stuart M. Haslam'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 Stuart M. Haslam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart M. Haslam more than expected).
Fields of papers citing papers by Stuart M. Haslam
This network shows the impact of papers produced by Stuart M. Haslam. 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 Stuart M. Haslam. The network helps show where Stuart M. Haslam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stuart M. Haslam, 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 | 2024 | 17 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 17 | |
| 5 | 2021 | 42 | |
| 6 | 2021 | 9 | |
| 7 | 2021 | 15 | |
| 8 | 2020 | 20 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 5 | |
| 12 | 2018 | 91 | |
| 13 | 2018 | 52 | |
| 14 | 2018 | 12 | |
| 15 | 2017 | 39 | |
| 16 | 2014 | 75 | |
| 17 | 2011 | 273 | |
| 18 | 2010 | 34 | |
| 19 | 2005 | 274 | |
| 20 | N-Linked Glycosylation in Campylobacter jejuni and Its Functional Transfer into E. colibreakdown → | 2002 | 602 |
About Stuart M. Haslam
Stuart M. Haslam is a scholar working on Immunology, Molecular Biology, Immunology and Allergy, Aging and Organic Chemistry, having authored 201 papers that have together received 11.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (119 papers), Galectins and Cancer Biology (44 papers), Carbohydrate Chemistry and Synthesis (39 papers), Monoclonal and Polyclonal Antibodies Research (27 papers), Proteoglycans and glycosaminoglycans research (17 papers), Influenza Virus Research Studies (10 papers), Genomics and Phylogenetic Studies (10 papers) and Cell Adhesion Molecules Research (10 papers). The work is most often cited by research in Immunology (2.8k citations), Aging (197 citations), Molecular Biology (7.6k citations), Parasitology (566 citations) and Organic Chemistry (2.2k citations). Stuart M. Haslam has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Anne Dell, Howard R. Morris, Alessio Ceroni, Simon J. North, Maria Panico, Aristotelis Antonopoulos, Kai Maaß, Hildegard Geyer, Rudolf Geyer and Paul G. Hitchen. Their work appears in journals such as Journal of Biological Chemistry, Glycobiology, PLoS ONE, Nature Communications and Molecular and Biochemical Parasitology.
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.