Daniel I. R. Spencer
- Virology top 2%
- Immunology top 5%
- Galectins and Cancer Biology 5
-
- Monoclonal and Polyclonal Antibodies Research 22
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 52
- Protein purification and stability 9
- Genomics and Phylogenetic Studies 8
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications 6
-
- Carbohydrate Chemistry and Synthesis 18
-
- Proteoglycans and glycosaminoglycans research 4
- Co-authors
- Daryl L. FernandesRichard A. GardnerRadoslaw P. KozakManfred WuhrerLouise RoyleArchana ShubhakarCaroline EdenJohannes F. Scheid
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United KingdomNetherlandsIreland
In The Last Decade
Daniel I. R. Spencer
69 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Virology 415
- Immunology 448
- Radiology, Nuclear Medicine and Imaging 471
- Molecular Biology 1.3k
- Spectroscopy 200
Countries citing papers authored by Daniel I. R. Spencer
This map shows the geographic impact of Daniel I. R. Spencer'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 Daniel I. R. Spencer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel I. R. Spencer more than expected).
Fields of papers citing papers by Daniel I. R. Spencer
This network shows the impact of papers produced by Daniel I. R. Spencer. 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 Daniel I. R. Spencer. The network helps show where Daniel I. R. Spencer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel I. R. Spencer, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 39 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 20 | |
| 11 | 2021 | 20 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 21 | |
| 14 | 2019 | 22 | |
| 15 | 2015 | 36 | |
| 16 | 2012 | 22 | |
| 17 | 2004 | 1 | |
| 18 | 2000 | 36 | |
| 19 | 1999 | 42 | |
| 20 | 1997 | 24 |
About Daniel I. R. Spencer
Daniel I. R. Spencer is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (52 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), Carbohydrate Chemistry and Synthesis (18 papers), Protein purification and stability (9 papers), Genomics and Phylogenetic Studies (8 papers), Advanced Proteomics Techniques and Applications (6 papers), Galectins and Cancer Biology (5 papers) and Proteoglycans and glycosaminoglycans research (4 papers). The work is most often cited by research in Virology (415 citations), Immunology (448 citations) and Radiology, Nuclear Medicine and Imaging (471 citations). Daniel I. R. Spencer has collaborated with scholars based in United Kingdom, Netherlands and Ireland. Frequent co-authors include Daryl L. Fernandes, Richard A. Gardner, Radoslaw P. Kozak, Manfred Wuhrer, Louise Royle, Archana Shubhakar, Caroline Eden, Johannes F. Scheid, Zelda Euler and Michel C. Nussenzweig. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.