Camille Guillerey
- Immunology top 1%
- Immune Cell Function and Interaction 18
- Immunotherapy and Immune Responses 13
- T-cell and B-cell Immunology 11
- IL-33, ST2, and ILC Pathways 4
- Aging top 2%
- Oncology top 2%
- CAR-T cell therapy research 5
- Cancer Immunotherapy and Biomarkers 4
- Chemokine receptors and signaling 3
- Hematology top 2%
- Multiple Myeloma Research and Treatments 4
- Developmental Neuroscience top 5%
- Co-authors
- Mark J. SmythNicholas D. HuntingtonHeidi HarjunpääGeoffrey R. HillSlavica VučkovićLudovic MartinetKyohei NakamuraValérie M. Renault
- Cited by
- ImmunologyAgingOncology
- Journals
- Journal of Clinical Investigation (2 papers)Nature Communications (1 paper)Blood (3 papers)
- Partner nations
- AustraliaFranceUnited States
In The Last Decade
Camille Guillerey
25 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Immunology 2.0k
- Aging 115
- Oncology 1.5k
- Hematology 458
- Developmental Neuroscience 122
Countries citing papers authored by Camille Guillerey
This map shows the geographic impact of Camille Guillerey'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 Camille Guillerey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camille Guillerey more than expected).
Fields of papers citing papers by Camille Guillerey
This network shows the impact of papers produced by Camille Guillerey. 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 Camille Guillerey. The network helps show where Camille Guillerey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Camille Guillerey, 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 | 2023 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2020 | 89 | |
| 4 | 2020 | 8 | |
| 5 | TIGIT as an emerging immune checkpointbreakdown → | 2019 | 389 |
| 6 | 2018 | 62 | |
| 7 | 2018 | 37 | |
| 8 | 2018 | 137 | |
| 9 | 2018 | 167 | |
| 10 | 2018 | 13 | |
| 11 | 2018 | 125 | |
| 12 | 2018 | 36 | |
| 13 | 2017 | 48 | |
| 14 | Les cellules dendritiques plasmacytoïdes | 2016 | 0 |
| 15 | Targeting natural killer cells in cancer immunotherapybreakdown → | 2016 | 832 |
| 16 | 2016 | 90 | |
| 17 | 2015 | 35 | |
| 18 | 2015 | 73 | |
| 19 | 2015 | 97 | |
| 20 | 2009 | 456 |
About Camille Guillerey
Camille Guillerey is a scholar working on Immunology, Aging and Hematology, having authored 26 papers that have together received 3.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), Immunotherapy and Immune Responses (13 papers), T-cell and B-cell Immunology (11 papers), CAR-T cell therapy research (5 papers), Multiple Myeloma Research and Treatments (4 papers), IL-33, ST2, and ILC Pathways (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Chemokine receptors and signaling (3 papers). The work is most often cited by research in Immunology (2.0k citations), Aging (115 citations) and Oncology (1.5k citations). Camille Guillerey has collaborated with scholars based in Australia, France and United States. Frequent co-authors include Mark J. Smyth, Nicholas D. Huntington, Heidi Harjunpää, Geoffrey R. Hill, Slavica Vučković, Ludovic Martinet, Kyohei Nakamura, Valérie M. Renault, Atul J. Butte and Jamie O. Brett. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Blood.
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.