Michel Pierres
- Immunology top 0.2%
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Oncology top 2%
- Immunology and Allergy top 1%
- Co-authors
- A PierresKatherine A. WallFrank W. FitchDeno P. DialynasChristo GoridisPhilippe NaquetZou QuanJ Quintáns
- Topics
- Monoclonal and Polyclonal Antibodies Research (70 papers)T-cell and B-cell Immunology (60 papers)Immune Cell Function and Interaction (32 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Michel Pierres
122 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Immunology 5.2k
- Molecular Biology 2.5k
- Radiology, Nuclear Medicine and Imaging 2.2k
- Oncology 1.4k
- Immunology and Allergy 615
Countries citing papers authored by Michel Pierres
This map shows the geographic impact of Michel Pierres'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 Michel Pierres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Pierres more than expected).
Fields of papers citing papers by Michel Pierres
This network shows the impact of papers produced by Michel Pierres. 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 Michel Pierres. The network helps show where Michel Pierres may publish in the future.
Co-authorship network of co-authors of Michel Pierres
This figure shows the co-authorship network connecting the top 25 collaborators of Michel Pierres. A scholar is included among the top collaborators of Michel Pierres 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 Michel Pierres. Michel Pierres is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 93 | |
| 3 | 52 | |
| 4 | 336 | |
| 5 | 43 | |
| 6 | Engagement of T cell receptor triggers its recruitment to low-density detergent-insoluble membrane domainsbreakdown → | 568 |
| 7 | 115 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | 62 | |
| 11 | 24 | |
| 12 | 8 | |
| 13 | 77 | |
| 14 | 20 | |
| 15 | 29 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 11 | |
| 19 | 13 | |
| 20 | Idiotypic analysis of anti-GAT antibodies. VI. Identification and strain distribution of the GA-1 idiotype. | 14 |
About Michel Pierres
Michel Pierres is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 122 papers that have together received 8.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (70 papers), T-cell and B-cell Immunology (60 papers) and Immune Cell Function and Interaction (32 papers). The work is most often cited by research in Immunology (5.2k citations), Immunology and Allergy (615 citations) and Radiology, Nuclear Medicine and Imaging (2.2k citations). Michel Pierres has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include A Pierres, Katherine A. Wall, Frank W. Fitch, Deno P. Dialynas, Christo Goridis, Philippe Naquet, Zou Quan, J Quintáns, M R Loken and Hai‐Tao He. 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.