J. G. Bodmer
- Immunology top 1%
- Pathology and Forensic Medicine top 1%
- Oncology top 5%
- Molecular Biology
- Genetics top 5%
- Co-authors
- Walter F. BodmerSteven G. E. MarshPeter ParhamAdnan MalikJames RobinsonH J R BusseyPeter ScamblerDenise Sheer
- Topics
- T-cell and B-cell Immunology (36 papers)Immune Cell Function and Interaction (28 papers)Immunotherapy and Immune Responses (14 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
J. G. Bodmer
58 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Immunology 1.9k
- Pathology and Forensic Medicine 795
- Oncology 748
- Molecular Biology 621
- Genetics 506
Countries citing papers authored by J. G. Bodmer
This map shows the geographic impact of J. G. Bodmer'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 J. G. Bodmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. G. Bodmer more than expected).
Fields of papers citing papers by J. G. Bodmer
This network shows the impact of papers produced by J. G. Bodmer. 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 J. G. Bodmer. The network helps show where J. G. Bodmer may publish in the future.
Co-authorship network of co-authors of J. G. Bodmer
This figure shows the co-authorship network connecting the top 25 collaborators of J. G. Bodmer. A scholar is included among the top collaborators of J. G. Bodmer 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 J. G. Bodmer. J. G. Bodmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | IMGT/HLA Database – a sequence database for the human major histocompatibility complexbreakdown → | 564 |
| 3 | 8 | |
| 4 | 237 | |
| 5 | 6 | |
| 6 | 71 | |
| 7 | 23 | |
| 8 | 9 | |
| 9 | 53 | |
| 10 | 23 | |
| 11 | 10 | |
| 12 | 27 | |
| 13 | 90 | |
| 14 | 2 | |
| 15 | 13 | |
| 16 | 5 | |
| 17 | Glycosylation and biosynthesis of human HLA-D region antigen-associated invariant polypeptides | 1 |
| 18 | PATTERNS OF CROSS-REACTIVITY IN 7TH WORKSHOP IA SERA | 2 |
| 19 | PERMANENT LYMPHOID LINES FROM GENETICALLY MARKED LYMPHOCYTES - SUCCESS WITH MAILED BLOOD SAMPLES AND FROZEN LYMPHOCYTES | 7 |
| 20 | 29 |
About J. G. Bodmer
J. G. Bodmer is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 60 papers that have together received 3.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (36 papers), Immune Cell Function and Interaction (28 papers) and Immunotherapy and Immune Responses (14 papers). The work is most often cited by research in Immunology (1.9k citations), Pathology and Forensic Medicine (795 citations) and Transplantation (119 citations). J. G. Bodmer has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Walter F. Bodmer, Steven G. E. Marsh, Peter Parham, Adnan Malik, James Robinson, H J R Bussey, Peter Scambler, Denise Sheer, E. Solomon and Anthony Ellis. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.