Jean‐Paul Rivals

1.3k total citations
16 papers, 1.1k citations indexed

About

Jean‐Paul Rivals is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jean‐Paul Rivals has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Jean‐Paul Rivals's work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (6 papers) and T-cell and B-cell Immunology (4 papers). Jean‐Paul Rivals is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (6 papers) and T-cell and B-cell Immunology (4 papers). Jean‐Paul Rivals collaborates with scholars based in Switzerland, United States and Belgium. Jean‐Paul Rivals's co-authors include Daniel E. Speiser, Camilla Jandus, Pedro Romero, Gilles Bioley, Jean Dudler, Donata Rimoldi, Olivier Michielin, Laurent Derré, Sonia Pastor and Daniel Olive and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and International Journal of Cancer.

In The Last Decade

Jean‐Paul Rivals

16 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jean‐Paul Rivals Switzerland 12 774 461 211 186 127 16 1.1k
Anne-Marie Rousseau Canada 5 780 1.0× 252 0.5× 86 0.4× 128 0.7× 71 0.6× 5 1.0k
Thierry Sornasse United States 12 1.1k 1.4× 254 0.6× 109 0.5× 210 1.1× 68 0.5× 30 1.4k
Francesca Giannoni United States 12 579 0.7× 231 0.5× 92 0.4× 206 1.1× 133 1.0× 17 888
Andreia C. Lino Germany 16 1.2k 1.5× 211 0.5× 179 0.8× 236 1.3× 34 0.3× 39 1.5k
Katja C. Beier Germany 9 1.3k 1.7× 355 0.8× 72 0.3× 135 0.7× 53 0.4× 11 1.6k
Mayra Senices United States 5 1.1k 1.5× 329 0.7× 148 0.7× 97 0.5× 102 0.8× 6 1.3k
Frank J. Ward United Kingdom 15 474 0.6× 176 0.4× 111 0.5× 148 0.8× 103 0.8× 34 782
Vinodh Pillai United States 14 372 0.5× 229 0.5× 41 0.2× 173 0.9× 79 0.6× 46 808
Dário Ligeiro Portugal 17 440 0.6× 134 0.3× 164 0.8× 371 2.0× 108 0.9× 47 895
Socheath Khim United States 16 937 1.2× 153 0.3× 135 0.6× 260 1.4× 85 0.7× 20 1.3k

Countries citing papers authored by Jean‐Paul Rivals

Since Specialization
Citations

This map shows the geographic impact of Jean‐Paul Rivals'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 Jean‐Paul Rivals with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Paul Rivals more than expected).

Fields of papers citing papers by Jean‐Paul Rivals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Paul Rivals. 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 Jean‐Paul Rivals. The network helps show where Jean‐Paul Rivals may publish in the future.

Co-authorship network of co-authors of Jean‐Paul Rivals

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Paul Rivals. A scholar is included among the top collaborators of Jean‐Paul Rivals 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 Jean‐Paul Rivals. Jean‐Paul Rivals is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Roh, Vincent, Jean‐Paul Rivals, J Sponarová, et al.. (2019). The transcription factor FOXM1 regulates the balance between proliferation and aberrant differentiation in head and neck squamous cell carcinoma. The Journal of Pathology. 250(1). 107–119. 8 indexed citations
2.
Mermod, Maxime, Esther Bovay, Vincent Roh, et al.. (2018). Mouse model of postsurgical primary tumor recurrence and regional lymph node metastasis progression in HPV‐related head and neck cancer. International Journal of Cancer. 142(12). 2518–2528. 29 indexed citations
3.
Lang, H.P., Jean‐Paul Rivals, Pedro Romero, et al.. (2016). Piezoresistive Membrane Surface Stress Sensors for Characterization of Breath Samples of Head and Neck Cancer Patients. Sensors. 16(7). 1149–1149. 21 indexed citations
4.
Lang, H.P., Jean‐Paul Rivals, Pedro Romero, et al.. (2015). Piezoresistive membrane surface stress sensors for characterization of breath samples of head and neck cancer patients. A001–A001. 1 indexed citations
5.
Baumgärtner, Petra, Amélie Cachot, Hélène Maby–El Hajjami, et al.. (2015). Vaccination with long NY-ESO-1 79-108 peptide and CpG-B leads to robust activation of CD4 and CD8 T cell responses in stage III/IV melanoma patients, and a new HLA-DR7 epitope. Journal for ImmunoTherapy of Cancer. 3(Suppl 2). P437–P437. 2 indexed citations
6.
Thibult, Marie‐Laure, Jean‐Paul Rivals, Émilie Mamessier, et al.. (2012). CpG-ODN-induced sustained expression of BTLA mediating selective inhibition of human B cells. Journal of Molecular Medicine. 91(2). 195–205. 22 indexed citations
7.
Baitsch, Lukas, Amandine Legat, Leticia Barba, et al.. (2012). Extended Co-Expression of Inhibitory Receptors by Human CD8 T-Cells Depending on Differentiation, Antigen-Specificity and Anatomical Localization. PLoS ONE. 7(2). e30852–e30852. 141 indexed citations
8.
Bron, Luc, Camilla Jandus, Snezana Andrejevic‐Blant, et al.. (2012). Prognostic value of arginase‐II expression and regulatory T‐cell infiltration in head and neck squamous cell carcinoma. International Journal of Cancer. 132(3). E85–93. 103 indexed citations
9.
Jandus, Camilla, Jean‐Paul Rivals, Laurent Derré, et al.. (2011). Vaccination‐induced functional competence of circulating human tumor‐specific CD8 T‐cells. International Journal of Cancer. 130(11). 2607–2617. 43 indexed citations
10.
Derré, Laurent, Jean‐Paul Rivals, Camilla Jandus, et al.. (2010). BTLA mediates inhibition of human tumor-specific CD8+ T cells that can be partially reversed by vaccination. Journal of Clinical Investigation. 120(1). 157–167. 233 indexed citations
11.
Cesson, Valérie, Jean‐Paul Rivals, Kris Thielemans, et al.. (2010). MAGE-A3 and MAGE-A4 specific CD4+ T cells in head and neck cancer patients: detection of naturally acquired responses and identification of new epitopes. Cancer Immunology Immunotherapy. 60(1). 23–35. 23 indexed citations
12.
Rivals, Jean‐Paul, Suzanne Salvi, Walter Seelentag, et al.. (2010). Pattern and clinical significance of cancer‐testis gene expression in head and neck squamous cell carcinoma. International Journal of Cancer. 128(11). 2625–2634. 70 indexed citations
13.
Jandus, Camilla, Gilles Bioley, Jean‐Paul Rivals, et al.. (2008). Increased numbers of circulating polyfunctional Th17 memory cells in patients with seronegative spondylarthritides. Arthritis & Rheumatism. 58(8). 2307–2317. 312 indexed citations
14.
Rivals, Jean‐Paul, Catherine Béal, Bouachanh Thammavongs, Micheline Guéguen, & Jean-Michel Panoff. (2007). Cryotolerance of Lactobacillus delbrueckii subsp. bulgaricus CFL1 is modified by acquisition of antibiotic resistance. Cryobiology. 55(1). 19–26. 5 indexed citations
15.
16.
Plattet, Philippe, et al.. (2005). The fusion protein of wild-type canine distemper virus is a major determinant of persistent infection. Virology. 337(2). 312–326. 24 indexed citations

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.

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