Régine Gérard

912 total citations
10 papers, 418 citations indexed

About

Régine Gérard is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Régine Gérard has authored 10 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Immunology. Recurrent topics in Régine Gérard's work include CRISPR and Genetic Engineering (2 papers), CAR-T cell therapy research (2 papers) and RNA Interference and Gene Delivery (2 papers). Régine Gérard is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), CAR-T cell therapy research (2 papers) and RNA Interference and Gene Delivery (2 papers). Régine Gérard collaborates with scholars based in Switzerland, Germany and France. Régine Gérard's co-authors include Annie Moisan, Gerson Rothschild, Michael Bscheider, Jitao David Zhang, Lauriane Cabon, Adrian Roth, Carolyn S. Hudak, Chad A. Cowan, Fang Xia and Martin Ebeling and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Régine Gérard

10 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Régine Gérard Switzerland	9	147	104	93	90	78	10	418
Marc Giry-Laterrière Australia	11	243 1.7×	91 0.9×	89 1.0×	26 0.3×	23 0.3×	14	452
Diane Wuest United States	7	93 0.6×	36 0.3×	40 0.4×	33 0.4×	22 0.3×	14	347
Martin W. Nicholson United Kingdom	10	277 1.9×	59 0.6×	45 0.5×	61 0.7×	20 0.3×	13	526
Maurice Schallenberg Germany	12	150 1.0×	29 0.3×	85 0.9×	26 0.3×	30 0.4×	25	431
Surinder Jeet United States	9	216 1.5×	101 1.0×	78 0.8×	23 0.3×	30 0.4×	12	543
Bartholomew J. Naughton United States	8	269 1.8×	110 1.1×	55 0.6×	14 0.2×	51 0.7×	11	464
Shaohua Zhan China	14	338 2.3×	57 0.5×	57 0.6×	30 0.3×	41 0.5×	21	529
Agata Charzyńska Poland	10	162 1.1×	91 0.9×	43 0.5×	19 0.2×	26 0.3×	17	334
Honghong Zhang China	8	102 0.7×	35 0.3×	127 1.4×	28 0.3×	24 0.3×	24	295
Coralie Viollet Germany	16	244 1.7×	40 0.4×	107 1.2×	22 0.2×	69 0.9×	30	536

Countries citing papers authored by Régine Gérard

Since Specialization

Citations

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

Fields of papers citing papers by Régine Gérard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Régine Gérard

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

All Works

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10 of 10 papers shown

1.

Nikolaev, Mikhail, Umut Kilik, Doris Popovic, et al.. (2024). Human organoids with an autologous tissue-resident immune compartment. Nature. 633(8028). 165–173. 43 indexed citations

2.

Gérard, Régine, Cinzia Esposito, Anneliese Schneider, et al.. (2023). Analysis of off-tumour toxicities of T-cell-engaging bispecific antibodies via donor-matched intestinal organoids and tumouroids. Nature Biomedical Engineering. 8(4). 345–360. 43 indexed citations

3.

Gjorevski, Nikolce, Régine Gérard, Lauriane Cabon, et al.. (2020). Neutrophilic infiltration in organ-on-a-chip model of tissue inflammation. Lab on a Chip. 20(18). 3365–3374. 62 indexed citations

4.

Moisan, Annie, Francesca Michielin, Wolfgang Jacob, et al.. (2018). Mechanistic Investigations of Diarrhea Toxicity Induced by Anti-HER2/3 Combination Therapy. Molecular Cancer Therapeutics. 17(7). 1464–1474. 18 indexed citations

5.

Sewing, Sabine, et al.. (2018). GalNAc Conjugation Attenuates the Cytotoxicity of Antisense Oligonucleotide Drugs in Renal Tubular Cells. Molecular Therapy — Nucleic Acids. 14. 67–79. 12 indexed citations

6.

Moisan, Annie, Marcel Gubler, Jitao David Zhang, et al.. (2016). Inhibition of EGF Uptake by Nephrotoxic Antisense Drugs In Vitro and Implications for Preclinical Safety Profiling. Molecular Therapy — Nucleic Acids. 6. 89–105. 24 indexed citations

7.

Moisan, Annie, Youn‐Kyoung Lee, Jitao David Zhang, et al.. (2014). White-to-brown metabolic conversion of human adipocytes by JAK inhibition. Nature Cell Biology. 17(1). 57–67. 141 indexed citations

8.

Gérard, Régine, et al.. (1963). RNA in Learning and Memory. Science. 140(3565). 381–381. 4 indexed citations

9.

Rothschild, Gerson, et al.. (1963). DRUGS AFFECTING RNA AND LEARNING. Proceedings of the National Academy of Sciences. 49(6). 918–924. 63 indexed citations

10.

Gérard, Régine. (1961). Quantification in Biology. Isis. 52(2). 334–352. 8 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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