Grégory Gatouillat

491 total citations
29 papers, 377 citations indexed

About

Grégory Gatouillat is a scholar working on Immunology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Grégory Gatouillat has authored 29 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 8 papers in Molecular Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Grégory Gatouillat's work include T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (13 papers) and Immunotherapy and Immune Responses (12 papers). Grégory Gatouillat is often cited by papers focused on T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (13 papers) and Immunotherapy and Immune Responses (12 papers). Grégory Gatouillat collaborates with scholars based in France, Switzerland and Republic of the Congo. Grégory Gatouillat's co-authors include Claudie Madoulet, Delphine Giusti, Philippe Bernard, Hamid Morjani, Sébastien Le Jan, Frank Antonicelli, Bach Nga Pham, Catherine Lavaud, Hamid Morjani and Abdulmagid Alabdul Magid and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Frontiers in Immunology.

In The Last Decade

Grégory Gatouillat

29 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grégory Gatouillat France 10 133 107 102 102 61 29 377
Saiedeh Erfanian Iran 9 64 0.5× 133 1.2× 40 0.4× 17 0.2× 22 0.4× 31 389
Jiyoung Lee South Korea 10 33 0.2× 140 1.3× 22 0.2× 67 0.7× 58 1.0× 24 696
Donghu Zhou China 11 51 0.4× 179 1.7× 34 0.3× 11 0.1× 30 0.5× 31 363
Habiba Sultana Bangladesh 11 51 0.4× 212 2.0× 81 0.8× 12 0.1× 25 0.4× 17 503
Mina Yazdi Iran 8 72 0.5× 144 1.3× 22 0.2× 7 0.1× 43 0.7× 14 384
Viviana Roman Romania 11 53 0.4× 205 1.9× 59 0.6× 5 0.0× 66 1.1× 21 417
Satoru Sekoguchi Japan 9 95 0.7× 127 1.2× 19 0.2× 9 0.1× 30 0.5× 18 405
Sawako Moriwaki Japan 11 45 0.3× 199 1.9× 9 0.1× 29 0.3× 76 1.2× 17 416
Joanna Wieczfińska Poland 14 48 0.4× 198 1.9× 21 0.2× 30 0.3× 63 1.0× 35 503
Ly Quoc Trung Japan 10 38 0.3× 160 1.5× 12 0.1× 13 0.1× 120 2.0× 15 401

Countries citing papers authored by Grégory Gatouillat

Since Specialization
Citations

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

Fields of papers citing papers by Grégory Gatouillat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grégory Gatouillat

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

All Works

20 of 20 papers shown
1.
Gatouillat, Grégory, et al.. (2025). Characterisation of the Novel HLA‐A*24:620 Allele by Next‐Generation Sequencing. HLA. 105(3). e70121–e70121. 1 indexed citations
2.
Gatouillat, Grégory, et al.. (2025). Characterisation of the Novel HLA‐DQA1*01:142 Allele by Next‐Generation Sequencing. HLA. 106(2). e70351–e70351. 1 indexed citations
3.
Giusti, Delphine, Jeanne‐Marie Perotin, Jean-François Fontaine, et al.. (2024). Molecular allergology: a clinical laboratory tool for precision diagnosis, stratification and follow-up of allergic patients. Clinical Chemistry and Laboratory Medicine (CCLM). 62(12). 2339–2355. 3 indexed citations
4.
Gatouillat, Grégory, et al.. (2024). Characterisation of the Novel HLA‐C*07:971 Allele by Next‐Generation Sequencing. HLA. 104(6). e15782–e15782. 1 indexed citations
5.
Gatouillat, Grégory, et al.. (2024). Characterisation of the novel HLA‐DQA1*04:14N allele by next‐generation sequencing. HLA. 103(6). e15571–e15571. 1 indexed citations
6.
Gatouillat, Grégory, et al.. (2023). Characterization of the novel HLA‐B*15:648 allele by next‐generation sequencing. HLA. 103(1). e15323–e15323. 2 indexed citations
7.
Gatouillat, Grégory, et al.. (2023). Characterization of the novel HLA‐A*01:383 allele by next‐generation sequencing. HLA. 101(6). 664–665. 1 indexed citations
8.
Gatouillat, Grégory, et al.. (2022). Characterization of the novel HLA‐C*16:184 allele by next‐generation sequencing. HLA. 99(6). 649–650. 1 indexed citations
9.
Gatouillat, Grégory, et al.. (2022). Characterization of the novel HLA‐C*03:04:94 allele by next‐generation sequencing. HLA. 100(1). 78–79. 1 indexed citations
10.
Gatouillat, Grégory, et al.. (2022). Characterization of the novel HLA‐B*53:64 allele by next‐generation sequencing. HLA. 100(6). 635–636. 1 indexed citations
11.
Giusti, Delphine, Estela Isabel Bini, Christine Terryn, et al.. (2019). NET Formation in Bullous Pemphigoid Patients With Relapse Is Modulated by IL-17 and IL-23 Interplay. Frontiers in Immunology. 10. 701–701. 38 indexed citations
12.
Muller, C., Grégory Gatouillat, Sébastien Le Jan, et al.. (2018). Mucosal Involvement in Bullous Pemphigoid Is Mostly Associated with Disease Severity and to Absence of Anti-BP230 Autoantibody. Frontiers in Immunology. 9. 479–479. 28 indexed citations
13.
Giusti, Delphine, Grégory Gatouillat, Sébastien Le Jan, et al.. (2018). Anti-Type VII Collagen Antibodies Are Identified in a Subpopulation of Bullous Pemphigoid Patients With Relapse. Frontiers in Immunology. 9. 570–570. 8 indexed citations
14.
Giusti, Delphine, Sébastien Le Jan, Grégory Gatouillat, et al.. (2017). Biomarkers related to bullous pemphigoid activity and outcome. Experimental Dermatology. 26(12). 1240–1247. 17 indexed citations
15.
Giusti, Delphine, Grégory Gatouillat, Sébastien Le Jan, et al.. (2017). Eosinophil Cationic Protein (ECP), a predictive marker of bullous pemphigoid severity and outcome. Scientific Reports. 7(1). 4833–4833. 45 indexed citations
16.
Gatouillat, Grégory, Abdulmagid Alabdul Magid, Éric Bertin, et al.. (2015). Medicarpin and millepurpan, two flavonoids isolated from Medicago sativa, induce apoptosis and overcome multidrug resistance in leukemia P388 cells. Phytomedicine. 22(13). 1186–1194. 46 indexed citations
17.
Gatouillat, Grégory, Abdulmagid Alabdul Magid, Éric Bertin, et al.. (2014). Cytotoxicity and Apoptosis Induced by Alfalfa (Medicago sativa) Leaf Extracts in Sensitive and Multidrug-Resistant Tumor Cells. Nutrition and Cancer. 66(3). 483–491. 32 indexed citations
18.
Gatouillat, Grégory, et al.. (2010). Cytotoxic effect induced by Morinda morindoides leaf extracts in human and murine leukemia cells. AFRICAN JOURNAL OF BIOTECHNOLOGY. 9(39). 6560–6565. 5 indexed citations
19.
Gatouillat, Grégory, et al.. (2009). In vivo anti-melanoma activities of the Melan-A/MART-1101–115 T CD4+ cell peptide. Vaccine. 27(44). 6107–6109. 3 indexed citations
20.
Perrin, Laura, et al.. (2007). Induction of autoantibodies to murine P-glycoprotein: Consequences on drug sensitivity in MDR cancer cells and on the expression of mdr genes in organs. Biochemical and Biophysical Research Communications. 358(1). 325–330. 3 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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