M J Glennie
- Radiology, Nuclear Medicine and Imaging top 2%
- Molecular Biology top 10%
- Immunology top 5%
- Oncology top 5%
- Cancer Research top 10%
- Co-authors
- G T StevensonEric O. AboagyeJ A DoubleStephen R. WedgeD J ChaplinGillian M. TozerVicky RobinsonJeffrey I. Everitt
- Topics
- Monoclonal and Polyclonal Antibodies Research (20 papers)Glycosylation and Glycoproteins Research (7 papers)Toxin Mechanisms and Immunotoxins (5 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
M J Glennie
25 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Radiology, Nuclear Medicine and Imaging 867
- Molecular Biology 857
- Immunology 764
- Oncology 578
- Cancer Research 264
Countries citing papers authored by M J Glennie
This map shows the geographic impact of M J Glennie'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 M J Glennie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M J Glennie more than expected).
Fields of papers citing papers by M J Glennie
This network shows the impact of papers produced by M J Glennie. 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 M J Glennie. The network helps show where M J Glennie may publish in the future.
Co-authorship network of co-authors of M J Glennie
This figure shows the co-authorship network connecting the top 25 collaborators of M J Glennie. A scholar is included among the top collaborators of M J Glennie 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 M J Glennie. M J Glennie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Guidelines for the welfare and use of animals in cancer researchbreakdown → | 1076 |
| 2 | 17 | |
| 3 | 180 | |
| 4 | 9 | |
| 5 | 43 | |
| 6 | Membrane CD22 defines circulating myeloma-related cells as mature or later B cells. | 12 |
| 7 | 7 | |
| 8 | 66 | |
| 9 | Cooperative mixtures of bispecific F(ab')2 antibodies for delivering saporin to lymphoma in vitro and in vivo. | 22 |
| 10 | 46 | |
| 11 | 63 | |
| 12 | 88 | |
| 13 | 7 | |
| 14 | 40 | |
| 15 | 204 | |
| 16 | 36 | |
| 17 | 79 | |
| 18 | 13 | |
| 19 | 11 | |
| 20 | 12 |
About M J Glennie
M J Glennie is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Genetics, having authored 25 papers that have together received 2.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (20 papers), Glycosylation and Glycoproteins Research (7 papers) and Toxin Mechanisms and Immunotoxins (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (867 citations), Immunology (764 citations) and Genetics (228 citations). M J Glennie has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include G T Stevenson, Eric O. Aboagye, J A Double, Stephen R. Wedge, D J Chaplin, Gillian M. Tozer, Vicky Robinson, Jeffrey I. Everitt, Ian J. Stratford and Paul Workman. Their work appears in journals such as Nature, The Journal of Experimental Medicine and Journal of Clinical Oncology.
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.