Ian Spendlove
- Immunology top 2%
- Molecular Biology top 5%
- Oncology top 2%
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Lindy G. DurrantIan O. EllisZahra MadjdNicholas FS WatsonJudith M. RamageJ H ScholefieldLinda MorganPhilip Kaye
- Topics
- Immunotherapy and Immune Responses (29 papers)Monoclonal and Polyclonal Antibodies Research (22 papers)Glycosylation and Glycoproteins Research (19 papers)
- Cited by
- ImmunologyOncologyHepatology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Ian Spendlove
72 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 1.4k
- Molecular Biology 1.3k
- Oncology 983
- Epidemiology 640
- Endocrinology, Diabetes and Metabolism 353
Countries citing papers authored by Ian Spendlove
This map shows the geographic impact of Ian Spendlove'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 Ian Spendlove with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Spendlove more than expected).
Fields of papers citing papers by Ian Spendlove
This network shows the impact of papers produced by Ian Spendlove. 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 Ian Spendlove. The network helps show where Ian Spendlove may publish in the future.
Co-authorship network of co-authors of Ian Spendlove
This figure shows the co-authorship network connecting the top 25 collaborators of Ian Spendlove. A scholar is included among the top collaborators of Ian Spendlove based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian Spendlove. Ian Spendlove is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 25 | |
| 5 | 32 | |
| 6 | 19 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 20 | |
| 10 | 96 | |
| 11 | Randomized, Placebo-Controlled Trial of Pioglitazone in Nondiabetic Subjects With Nonalcoholic Steatohepatitisbreakdown → | 545 |
| 12 | 21 | |
| 13 | 54 | |
| 14 | 1 | |
| 15 | Prognostic significance of SC101, a monoclonal Antibody against Lewisy/b in breast tumors | 0 |
| 16 | Total Loss of MHC Class I is an Independent Indicator of Good Prognosis in Breast Cancer | 5 |
| 17 | 59 | |
| 18 | 39 | |
| 19 | 17 | |
| 20 | 90 |
About Ian Spendlove
Ian Spendlove is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 74 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (29 papers), Monoclonal and Polyclonal Antibodies Research (22 papers) and Glycosylation and Glycoproteins Research (19 papers). The work is most often cited by research in Immunology (1.4k citations), Oncology (983 citations) and Hepatology (174 citations). Ian Spendlove has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Lindy G. Durrant, Ian O. Ellis, Zahra Madjd, Nicholas FS Watson, Judith M. Ramage, J H Scholefield, Linda Morgan, Philip Kaye, A Austin and Stephen Ryder. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.