Helen C. Bodmer
- Immunology top 1%
- Molecular Biology
- Epidemiology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology
- Co-authors
- Alain TownsendAndrew J. McMichaelChristophe BenoıstR. M. PembertonJonathan B. RothbardDiane MathisJ I BellPaul Moss
- Topics
- T-cell and B-cell Immunology (14 papers)Immune Cell Function and Interaction (14 papers)Immunotherapy and Immune Responses (10 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Helen C. Bodmer
22 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Immunology 1.6k
- Molecular Biology 451
- Epidemiology 366
- Radiology, Nuclear Medicine and Imaging 291
- Oncology 222
Countries citing papers authored by Helen C. Bodmer
This map shows the geographic impact of Helen C. 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 Helen C. Bodmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen C. Bodmer more than expected).
Fields of papers citing papers by Helen C. Bodmer
This network shows the impact of papers produced by Helen C. 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 Helen C. Bodmer. The network helps show where Helen C. Bodmer may publish in the future.
Co-authorship network of co-authors of Helen C. Bodmer
This figure shows the co-authorship network connecting the top 25 collaborators of Helen C. Bodmer. A scholar is included among the top collaborators of Helen C. 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 Helen C. Bodmer. Helen C. 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 | 9 | |
| 2 | 23 | |
| 3 | 21 | |
| 4 | 103 | |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 22 | |
| 9 | 107 | |
| 10 | 36 | |
| 11 | 44 | |
| 12 | Knock-out mice: a new tool for transplantation immunologists. | 4 |
| 13 | 25 | |
| 14 | 42 | |
| 15 | Antigen Recognition by Class I-Restricted T Lymphocytesbreakdown → | 1068 |
| 16 | 9 | |
| 17 | 31 | |
| 18 | Influenza-specific cytotoxic T-cell recognition is inhibited by peptides unrelated in both sequence and MHC restriction. | 35 |
| 19 | 135 | |
| 20 | 27 |
About Helen C. Bodmer
Helen C. Bodmer is a scholar working on Immunology, Virology and Rheumatology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (14 papers) and Immunotherapy and Immune Responses (10 papers). The work is most often cited by research in Immunology (1.6k citations), Virology (123 citations) and Radiology, Nuclear Medicine and Imaging (291 citations). Helen C. Bodmer has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Alain Townsend, Andrew J. McMichael, Christophe Benoıst, R. M. Pemberton, Jonathan B. Rothbard, Diane Mathis, J I Bell, Paul Moss, William Rosenberg and Brigitte A. Askonas. Their work appears in journals such as Nature, Science and Cell.
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.