Iain Shaw
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Aquaculture disease management and microbiota
Papers in
-
- Protein purification and stability 3
- Glycosylation and Glycoproteins Research 1
-
- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Jim Kaufman (3 shared papers)Marian Kane (4 shared papers)Denise A. Marston (2 shared papers)William J.J. Finlay (1 shared paper)Jansen Jacob (1 shared paper)E. Yvonne Jones (1 shared paper)Hans‐Joachim Wallny (1 shared paper)David Ávila (1 shared paper)
- Journals
- Drug Metabolism and Pharmacokinetics (3 papers)Applied and Environmental Microbiology (2 papers)Analytical Chemistry (2 papers)The Journal of Immunology (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Iain Shaw
15 papers receiving 416 citations
Peers
Comparison fields: 5 of 58
- Immunology 219
- Biotechnology 40
- Microbiology 25
- Animal Science and Zoology 37
- Radiology, Nuclear Medicine and Imaging 56
Countries citing papers authored by Iain Shaw
This map shows the geographic impact of Iain Shaw'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 Iain Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iain Shaw more than expected).
Fields of papers citing papers by Iain Shaw
This network shows the impact of papers produced by Iain Shaw. 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 Iain Shaw. The network helps show where Iain Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Iain Shaw, 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 | 2007 | 152 | |
| 2 | 2007 | 73 | |
| 3 | 2006 | 51 | |
| 4 | 2003 | 45 | |
| 5 | 2011 | 38 | |
| 6 | 2008 | 17 | |
| 7 | 2012 | 15 | |
| 8 | 2021 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2009 | 4 | |
| 12 | 2017 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2017 | 1 |
About Iain Shaw
Iain Shaw is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Ecology and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 427 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Protein purification and stability (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Bacteriophages and microbial interactions (2 papers), Glycosylation and Glycoproteins Research (1 paper), Animal Genetics and Reproduction (1 paper) and Animal health and immunology (1 paper). The work is most often cited by research in Immunology (219 citations), Biotechnology (40 citations), Microbiology (25 citations), Animal Science and Zoology (37 citations) and Radiology, Nuclear Medicine and Imaging (56 citations). Iain Shaw has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Jim Kaufman, Marian Kane, Denise A. Marston, William J.J. Finlay, Jansen Jacob, E. Yvonne Jones, Hans‐Joachim Wallny, David Ávila, P. Rod Dunbar and Vincenzo Cerundolo. Their work appears in journals such as Drug Metabolism and Pharmacokinetics, Applied and Environmental Microbiology, Analytical Chemistry, The Journal of Immunology and International Immunopharmacology.
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.