Raphaël Gottardo
- Biophysics top 0.2%
- Cell Image Analysis Techniques 15
- Immunology top 1%
- T-cell and B-cell Immunology 22
- Immune Cell Function and Interaction 21
- Immunotherapy and Immune Responses 11
- Virology top 2%
- HIV Research and Treatment 11
- Molecular Biology top 1%
- Single-cell and spatial transcriptomics 41
- Gene expression and cancer classification 35
- Cancer Research top 2%
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- CAR-T cell therapy research 14
- Co-authors
- Greg FinakAndrew McDavidRyan R. BrinkmanKenneth LoMartin PrlicM. Juliana McElrathPeter S. LinsleyChloe K. Slichter
- Cited by
- BiophysicsImmunologyVirology
- Journals
- The Journal of Immunology (9 papers)Bioinformatics (8 papers)Nature Communications (6 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Raphaël Gottardo
128 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Biophysics 713
- Immunology 2.4k
- Virology 415
- Molecular Biology 5.2k
- Cancer Research 962
Countries citing papers authored by Raphaël Gottardo
This map shows the geographic impact of Raphaël Gottardo'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 Raphaël Gottardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Gottardo more than expected).
Fields of papers citing papers by Raphaël Gottardo
This network shows the impact of papers produced by Raphaël Gottardo. 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 Raphaël Gottardo. The network helps show where Raphaël Gottardo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raphaël Gottardo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 32 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 66 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 61 | |
| 9 | 2021 | 40 | |
| 10 | Spatial transcriptomics at subspot resolution with BayesSpacebreakdown → | 2021 | 448 |
| 11 | 2021 | 37 | |
| 12 | 2020 | 177 | |
| 13 | 2020 | 14 | |
| 14 | 2019 | 27 | |
| 15 | 2019 | 12 | |
| 16 | 2018 | 33 | |
| 17 | 2018 | 72 | |
| 18 | 2017 | 65 | |
| 19 | 2017 | 35 | |
| 20 | 2017 | 17 |
About Raphaël Gottardo
Raphaël Gottardo is a scholar working on Biophysics, Virology and Immunology, having authored 130 papers that have together received 8.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (41 papers), Gene expression and cancer classification (35 papers), T-cell and B-cell Immunology (22 papers), Immune Cell Function and Interaction (21 papers), Cell Image Analysis Techniques (15 papers), CAR-T cell therapy research (14 papers), Immunotherapy and Immune Responses (11 papers) and HIV Research and Treatment (11 papers). The work is most often cited by research in Biophysics (713 citations), Immunology (2.4k citations) and Virology (415 citations). Raphaël Gottardo has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Greg Finak, Andrew McDavid, Ryan R. Brinkman, Kenneth Lo, Martin Prlic, M. Juliana McElrath, Peter S. Linsley, Chloe K. Slichter, Vivian H. Gersuk and Masanao Yajima. Their work appears in journals such as The Journal of Immunology, Bioinformatics, Nature Communications, Cytometry Part A and JCI Insight.
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.