Rémy Robinot

2.3k total citations
8 papers, 379 citations indexed

About

Rémy Robinot is a scholar working on Infectious Diseases, Oncology and Electrical and Electronic Engineering. According to data from OpenAlex, Rémy Robinot has authored 8 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Oncology and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Rémy Robinot's work include SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (3 papers) and COVID-19 Clinical Research Studies (2 papers). Rémy Robinot is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (3 papers) and COVID-19 Clinical Research Studies (2 papers). Rémy Robinot collaborates with scholars based in France, Italy and Sweden. Rémy Robinot's co-authors include Mauro Tognon, Elisa Mazzoni, Antoine Touzé, Pierre Coursaget, Jérôme Nicol, Audrey Carpentier, Cyril Planchais, Lisa A. Chakrabarti, Julian Buchrieser and Olivier Schwartz and has published in prestigious journals such as The Journal of Experimental Medicine, The EMBO Journal and Journal of Virology.

In The Last Decade

Rémy Robinot

8 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rémy Robinot France	8	181	172	129	100	65	8	379
Herman F. Wunderink Netherlands	11	81 0.4×	208 1.2×	114 0.9×	44 0.4×	74 1.1×	22	376
Luz‐Andrea Pfister United States	6	88 0.5×	252 1.5×	143 1.1×	62 0.6×	29 0.4×	7	427
Donatella Maria Rodio Italy	11	56 0.3×	236 1.4×	144 1.1×	59 0.6×	52 0.8×	26	361
Cesare Giovanni Fedele Spain	9	119 0.7×	204 1.2×	105 0.8×	47 0.5×	23 0.4×	13	332
Amy S. Arrington United States	8	62 0.3×	204 1.2×	83 0.6×	70 0.7×	21 0.3×	12	281
Hitomi Fukumoto Japan	11	48 0.3×	162 0.9×	48 0.4×	35 0.3×	68 1.0×	18	296
Lynda Handala France	8	125 0.7×	152 0.9×	64 0.5×	14 0.1×	34 0.5×	12	277
Piotr Kardas Switzerland	9	64 0.4×	395 2.3×	282 2.2×	96 1.0×	32 0.5×	16	475
R. Caldarelli-Stefano Italy	9	68 0.4×	283 1.6×	174 1.3×	101 1.0×	37 0.6×	11	411
Angela Marzocchetti Italy	14	90 0.5×	365 2.1×	263 2.0×	116 1.2×	38 0.6×	16	537

Countries citing papers authored by Rémy Robinot

Since Specialization

Citations

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

Fields of papers citing papers by Rémy Robinot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rémy Robinot. 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 Rémy Robinot. The network helps show where Rémy Robinot may publish in the future.

Co-authorship network of co-authors of Rémy Robinot

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

All Works

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8 of 8 papers shown

Planas, Delphine, Isabelle Staropoli, Bárbara F. Fonseca, et al.. (2024). Modeling memory B cell responses in a lymphoid organ-chip to evaluate mRNA vaccine boosting. The Journal of Experimental Medicine. 221(10). 10 indexed citations

Vaid, Roshan, Rebeca Burgos‐Panadero, Rémy Robinot, et al.. (2023). Global loss of cellular m ⁶ A RNA methylation following infection with different SARS-CoV-2 variants. Genome Research. 33(3). 299–313. 18 indexed citations

Staropoli, Isabelle, Dorsaf Slama, Françoise Donnadieu, et al.. (2023). Divergent adaptive immune responses define two types of long COVID. Frontiers in Immunology. 14. 1221961–1221961. 14 indexed citations

Gellenoncourt, Stacy, Nell Saunders, Rémy Robinot, et al.. (2022). The Spike-Stabilizing D614G Mutation Interacts with S1/S2 Cleavage Site Mutations To Promote the Infectious Potential of SARS-CoV-2 Variants. Journal of Virology. 96(19). e0130122–e0130122. 15 indexed citations

Rajah, Maaran Michael, Mathieu Hubert, Nell Saunders, et al.. (2021). SARS‐CoV‐2 Alpha, Beta, and Delta variants display enhanced Spike‐mediated syncytia formation. The EMBO Journal. 40(24). e108944–e108944. 113 indexed citations

Dufloo, Jérémy, Ludivine Grzelak, Isabelle Staropoli, et al.. (2021). Asymptomatic and symptomatic SARS-CoV-2 infections elicit polyfunctional antibodies. Cell Reports Medicine. 2(5). 100275–100275. 42 indexed citations

Nicol, Jérôme, Rémy Robinot, Audrey Carpentier, et al.. (2013). Age-Specific Seroprevalences of Merkel Cell Polyomavirus, Human Polyomaviruses 6, 7, and 9, and Trichodysplasia Spinulosa-Associated Polyomavirus. Clinical and Vaccine Immunology. 20(3). 363–368. 129 indexed citations

Nicol, Jérôme, Antoine Touzé, Rémy Robinot, et al.. (2012). Seroprevalence and Cross-reactivity of Human Polyomavirus 9. Emerging infectious diseases. 18(8). 1329–1332. 38 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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