Michaël J. Crumpton
- Molecular Biology top 1%
- Immunology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Oncology top 5%
- Cell Biology top 2%
- Co-authors
- Walter F. BodmerColin J. BarnstableMichael J. HaymanDavid SnaryAdelina A. DaviesDavid AllanDoreen A. CantrellMichael J. Owen
- Topics
- T-cell and B-cell Immunology (54 papers)Monoclonal and Polyclonal Antibodies Research (53 papers)Immune Cell Function and Interaction (39 papers)
- Partner nations
- United KingdomTanzaniaUnited States
In The Last Decade
Michaël J. Crumpton
167 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 4.4k
- Immunology 3.9k
- Radiology, Nuclear Medicine and Imaging 2.0k
- Oncology 749
- Cell Biology 611
Countries citing papers authored by Michaël J. Crumpton
This map shows the geographic impact of Michaël J. Crumpton'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 Michaël J. Crumpton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël J. Crumpton more than expected).
Fields of papers citing papers by Michaël J. Crumpton
This network shows the impact of papers produced by Michaël J. Crumpton. 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 Michaël J. Crumpton. The network helps show where Michaël J. Crumpton may publish in the future.
Co-authorship network of co-authors of Michaël J. Crumpton
This figure shows the co-authorship network connecting the top 25 collaborators of Michaël J. Crumpton. A scholar is included among the top collaborators of Michaël J. Crumpton 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 Michaël J. Crumpton. Michaël J. Crumpton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Real Learning Connections: Questioning the Learner in the LIS Internship | 13 |
| 3 | 54 | |
| 4 | 49 | |
| 5 | 2 | |
| 6 | 64 | |
| 7 | 50 | |
| 8 | 126 | |
| 9 | 31 | |
| 10 | 61 | |
| 11 | 40 | |
| 12 | 15 | |
| 13 | 25 | |
| 14 | 335 | |
| 15 | 35 | |
| 16 | Glycosylation and biosynthesis of human HLA-D region antigen-associated invariant polypeptides | 1 |
| 17 | 13 | |
| 18 | The lymphocyte cell surface | 1 |
| 19 | 1 | |
| 20 | 64 |
About Michaël J. Crumpton
Michaël J. Crumpton is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 169 papers that have together received 8.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (54 papers), Monoclonal and Polyclonal Antibodies Research (53 papers) and Immune Cell Function and Interaction (39 papers). The work is most often cited by research in Immunology (3.9k citations), Radiology, Nuclear Medicine and Imaging (2.0k citations) and Immunology and Allergy (495 citations). Michaël J. Crumpton has collaborated with scholars based in United Kingdom, Tanzania and United States. Frequent co-authors include Walter F. Bodmer, Colin J. Barnstable, Michael J. Hayman, David Snary, Adelina A. Davies, David Allan, Doreen A. Cantrell, Michael J. Owen, Stephen E. Moss and M. Rufus Crompton. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.