Séverine Diem

1.6k total citations
18 papers, 1.2k citations indexed

About

Séverine Diem is a scholar working on Immunology, Physiology and Surgery. According to data from OpenAlex, Séverine Diem has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 4 papers in Physiology and 3 papers in Surgery. Recurrent topics in Séverine Diem's work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (7 papers) and IL-33, ST2, and ILC Pathways (6 papers). Séverine Diem is often cited by papers focused on Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (7 papers) and IL-33, ST2, and ILC Pathways (6 papers). Séverine Diem collaborates with scholars based in France, Morocco and United States. Séverine Diem's co-authors include André Herbelin, Michel Dy, Maria Leite‐de‐Moraes, Pierre Gourdy, Linh Pham, Elke Schneider, Elvire Anne Bourgeois, Jean‐Marc Gombert, Ren Zhu and Jean Lefort and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Séverine Diem

18 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Séverine Diem France 17 968 250 203 94 93 18 1.2k
Bai–Sui Feng China 16 444 0.5× 200 0.8× 108 0.5× 76 0.8× 232 2.5× 48 897
Grégory Gautier France 13 817 0.8× 156 0.6× 81 0.4× 92 1.0× 248 2.7× 18 1.2k
Niyun Jin United States 20 771 0.8× 217 0.9× 137 0.7× 80 0.9× 182 2.0× 29 1.2k
Nobuyasu Baba Japan 16 576 0.6× 159 0.6× 64 0.3× 102 1.1× 215 2.3× 22 940
B K Wershil United States 10 710 0.7× 359 1.4× 140 0.7× 53 0.6× 199 2.1× 14 1.0k
Ming-Chin Lee Australia 19 534 0.6× 126 0.5× 67 0.3× 182 1.9× 301 3.2× 30 1.2k
Gui Yang China 17 355 0.4× 273 1.1× 83 0.4× 68 0.7× 248 2.7× 74 930
Nino Kutchukhidze United States 9 1.2k 1.2× 212 0.8× 50 0.2× 133 1.4× 118 1.3× 10 1.5k
Ingrid E. Gienapp United States 19 1.0k 1.1× 79 0.3× 87 0.4× 170 1.8× 208 2.2× 31 1.5k
Hock L. Tay Australia 18 451 0.5× 285 1.1× 91 0.4× 45 0.5× 314 3.4× 26 972

Countries citing papers authored by Séverine Diem

Since Specialization
Citations

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

Fields of papers citing papers by Séverine Diem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Séverine Diem

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

All Works

18 of 18 papers shown
1.
Diem, Séverine, et al.. (2023). Upregulation of breathing rate during running exercise by central locomotor circuits in mice. Nature Communications. 14(1). 2939–2939. 13 indexed citations
2.
Dempsey, Bowen, Zoubida Chettouh, Séverine Diem, et al.. (2021). A medullary centre for lapping in mice. Nature Communications. 12(1). 6307–6307. 21 indexed citations
3.
Diem, Séverine, et al.. (2020). Absent phasing of respiratory and locomotor rhythms in running mice. eLife. 9. 16 indexed citations
4.
Michel, Marie‐Laure, Christelle Lenoir, Séverine Diem, et al.. (2016). SLAM‐associated protein favors the development of iNKT2 over iNKT17 cells. European Journal of Immunology. 46(9). 2162–2174. 17 indexed citations
5.
Michel, Marie‐Laure, Séverine Diem, Caspar Ohnmacht, et al.. (2014). TLR-Induced Cytokines Promote Effective Proinflammatory Natural Th17 Cell Responses. The Journal of Immunology. 192(12). 5635–5642. 29 indexed citations
6.
Milpied, Pierre, Amédée Renand, Séverine Diem, et al.. (2011). IL-17–producing invariant NKT cells in lymphoid organs are recent thymic emigrants identified by neuropilin-1 expression. Blood. 118(11). 2993–3002. 54 indexed citations
7.
Zhu, Ren, Séverine Diem, Elvire Anne Bourgeois, et al.. (2011). Cutting Edge: Intravenous Ig Inhibits Invariant NKT Cell-Mediated Allergic Airway Inflammation through FcγRIIIA-Dependent Mechanisms. The Journal of Immunology. 186(6). 3289–3293. 33 indexed citations
8.
Bourgeois, Elvire Anne, Anaïs Levescot, Séverine Diem, et al.. (2010). A natural protective function of invariant NKT cells in a mouse model of innate‐cell‐driven lung inflammation. European Journal of Immunology. 41(2). 299–305. 24 indexed citations
9.
Leite‐de‐Moraes, Maria, Séverine Diem, Marie‐Laure Michel, et al.. (2009). Cutting Edge: Histamine Receptor H4 Activation Positively Regulates In Vivo IL-4 and IFN-γ Production by Invariant NKT Cells. The Journal of Immunology. 182(3). 1233–1236. 42 indexed citations
10.
Bourgeois, Elvire Anne, Linh Pham, Michel Samson, et al.. (2009). The pro‐Th2 cytokine IL‐33 directly interacts with invariant NKT and NK cells to induce IFN‐γ production. European Journal of Immunology. 39(4). 1046–1055. 281 indexed citations
11.
Mars, Lennart T., Philippe Kerschen, Séverine Diem, et al.. (2009). Invariant NKT cells inhibit development of the Th 17 lineage. Proceedings of the National Academy of Sciences. 106(15). 6238–6243. 53 indexed citations
12.
Champy, Pierre, Linh Pham, Séverine Diem, et al.. (2008). Ginger prevents Th2-mediated immune responses in a mouse model of airway inflammation. International Immunopharmacology. 8(12). 1626–1632. 83 indexed citations
13.
Zhu, Ren, Séverine Diem, Aude Aumeunier, et al.. (2007). The Pro-Th1 Cytokine IL-12 Enhances IL-4 Production by Invariant NKT Cells: Relevance for T Cell-Mediated Hepatitis. The Journal of Immunology. 178(9). 5435–5442. 33 indexed citations
14.
Zhu, Ren, et al.. (2005). Activation of invariant NK T cells protects against experimental rheumatoid arthritis by an IL‐10‐dependent pathway. European Journal of Immunology. 35(12). 3704–3713. 41 indexed citations
15.
Lisbonne, Mariette, Marie‐Laure Michel, Séverine Diem, et al.. (2005). α‐Galactosylceramide‐induced iNKT cells suppress experimental allergic asthma in sensitized mice: Role of IFN‐γ. European Journal of Immunology. 35(10). 2793–2802. 90 indexed citations
16.
Lefort, Jean, Marie‐Anne Nahori, Séverine Diem, et al.. (2004). Exacerbated Th2‐mediated airway inflammation and hyperresponsiveness in autoimmune diabetes‐prone NOD mice: a critical role for CD1d‐dependent NKT cells. European Journal of Immunology. 34(2). 327–335. 42 indexed citations
17.
Gourdy, Pierre, Ren Zhu, Barbara Garmy‐Susini, et al.. (2004). Relevance of sexual dimorphism to regulatory T cells: estradiol promotes IFN-γ production by invariant natural killer T cells. Blood. 105(6). 2415–2420. 121 indexed citations
18.
Lisbonne, Mariette, Séverine Diem, Alexandre C. Keller, et al.. (2003). Cutting Edge: Invariant Vα14 NKT Cells Are Required for Allergen-Induced Airway Inflammation and Hyperreactivity in an Experimental Asthma Model. The Journal of Immunology. 171(4). 1637–1641. 247 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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