Robin Shaw
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
-
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- Colorectal Cancer Treatments and Studies
- Cancer Cells and Metastasis
Papers in
-
- T-cell and B-cell Immunology 3
-
- Liver physiology and pathology 2
- Co-authors
- Karen Blyth (4 shared papers)Ann Hedley (3 shared papers)William Andrew Clark (3 shared papers)Carl S. Goodyear (2 shared papers)Kristina Kirschner (1 shared paper)Karen H. Vousden (1 shared paper)Anna Kilbey (1 shared paper)Hing Y. Leung (3 shared papers)
- Journals
- British Journal of Cancer (3 papers)Science Advances (3 papers)The EMBO Journal (2 papers)Life Science Alliance (1 paper)Biological Psychiatry Cognitive Neuroscience and Neuroimaging (1 paper)
- Partner nations
- United KingdomNetherlandsFrance
In The Last Decade
Robin Shaw
20 papers receiving 483 citations
Peers
Comparison fields: 5 of 58
- Biological Psychiatry 24
- Oncology 173
- Aging 10
- Hepatology 37
- Immunology 73
Countries citing papers authored by Robin Shaw
This map shows the geographic impact of Robin 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 Robin Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Shaw more than expected).
Fields of papers citing papers by Robin Shaw
This network shows the impact of papers produced by Robin 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 Robin Shaw. The network helps show where Robin Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 132 | |
| 2 | 2021 | 59 | |
| 3 | 2024 | 46 | |
| 4 | 2022 | 44 | |
| 5 | 2021 | 27 | |
| 6 | 2021 | 26 | |
| 7 | 2021 | 24 | |
| 8 | 2025 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2023 | 13 | |
| 13 | 2022 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 5 | |
| 19 | 2025 | 1 | |
| 20 | 2026 | 1 |
About Robin Shaw
Robin Shaw is a scholar working on Immunology, Hepatology, Biological Psychiatry, Oncology and Genetics, having authored 22 papers that have together received 490 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Prostate Cancer Treatment and Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Liver physiology and pathology (2 papers), Tryptophan and brain disorders (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Biological Psychiatry (24 citations), Oncology (173 citations), Aging (10 citations), Hepatology (37 citations) and Immunology (73 citations). Robin Shaw has collaborated with scholars based in United Kingdom, Netherlands and France. Frequent co-authors include Karen Blyth, Ann Hedley, William Andrew Clark, Carl S. Goodyear, Kristina Kirschner, Karen H. Vousden, Anna Kilbey, Hing Y. Leung, Seth B. Coffelt and Thomas Graham Bird. Their work appears in journals such as British Journal of Cancer, Science Advances, The EMBO Journal, Life Science Alliance and Biological Psychiatry Cognitive Neuroscience and Neuroimaging.
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.