Morgane Mabire

491 total citations
9 papers, 364 citations indexed

About

Morgane Mabire is a scholar working on Immunology, Epidemiology and Surgery. According to data from OpenAlex, Morgane Mabire has authored 9 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Morgane Mabire's work include Phagocytosis and Immune Regulation (5 papers), Immune Cell Function and Interaction (4 papers) and Autophagy in Disease and Therapy (3 papers). Morgane Mabire is often cited by papers focused on Phagocytosis and Immune Regulation (5 papers), Immune Cell Function and Interaction (4 papers) and Autophagy in Disease and Therapy (3 papers). Morgane Mabire collaborates with scholars based in France, Qatar and India. Morgane Mabire's co-authors include JingHong Wan, Sophie Lotersztajn, Pushpa Hegde, Emmanuel Weiss, Hélène Gilgenkrantz, Richard Moreau, Valérie Paradis, Philippe Lettéron, Gladys Ferrere and Miguel Albuquerque and has published in prestigious journals such as Nature Communications, Gut and Journal of Hepatology.

In The Last Decade

Morgane Mabire

8 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Morgane Mabire France	6	189	165	111	52	49	9	364
Ruidong Mo China	9	263 1.4×	84 0.5×	179 1.6×	30 0.6×	49 1.0×	15	392
S. Doron Israel	9	274 1.4×	234 1.4×	284 2.6×	58 1.1×	43 0.9×	18	554
Kim Olievier Belgium	8	134 0.7×	84 0.5×	91 0.8×	57 1.1×	118 2.4×	10	358
Jin-Seok Byun South Korea	8	165 0.9×	122 0.7×	154 1.4×	27 0.5×	65 1.3×	9	351
Andreas Nellen Germany	8	177 0.9×	167 1.0×	164 1.5×	28 0.5×	68 1.4×	8	410
Qinyu Xu China	5	252 1.3×	102 0.6×	109 1.0×	32 0.6×	141 2.9×	9	418
Chunpan Zhang China	12	133 0.7×	172 1.0×	89 0.8×	15 0.3×	91 1.9×	26	397
Yuzo Koda Japan	8	140 0.7×	119 0.7×	104 0.9×	22 0.4×	79 1.6×	14	312
Annie J. Kruger United States	12	181 1.0×	74 0.4×	117 1.1×	47 0.9×	89 1.8×	20	422
Mandy M. Chan United States	4	197 1.0×	105 0.6×	91 0.8×	32 0.6×	64 1.3×	9	301

Countries citing papers authored by Morgane Mabire

Since Specialization

Citations

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

Fields of papers citing papers by Morgane Mabire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morgane Mabire

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

All Works

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9 of 9 papers shown

1.

Wan, JingHong, Charles Caër, Sukriti Baweja, et al.. (2025). Defective autophagy in CD4 T cells drives liver fibrosis via type 3 inflammation. Nature Communications. 16(1). 3860–3860.

2.

Allaire, Manon, Morgane Mabire, Adel Hammoutène, et al.. (2023). Monoacylglycerol lipase reprograms hepatocytes and macrophages to promote liver regeneration. JHEP Reports. 5(8). 100794–100794. 11 indexed citations

3.

Mabire, Morgane, Pushpa Hegde, Adel Hammoutène, et al.. (2023). MAIT cell inhibition promotes liver fibrosis regression via macrophage phenotype reprogramming. Nature Communications. 14(1). 1830–1830. 46 indexed citations

4.

Wan, JingHong, Emmanuel Weiss, Sanae Ben Mkaddem, et al.. (2020). LC3-associated phagocytosis protects against inflammation and liver fibrosis via immunoreceptor inhibitory signaling. Science Translational Medicine. 12(539). 54 indexed citations

5.

Allaire, Manon, Morgane Mabire, JingHong Wan, et al.. (2020). Monoacylglycerol lipase reprograms lipid metabolism in macrophages and hepatocytes to promote liver regeneration. Journal of Hepatology. 73. S19–S20. 1 indexed citations

6.

Wan, JingHong, Emmanuel Weiss, Sanae Ben Mkaddem, et al.. (2020). LC3-associated phagocytosis in myeloid cells, a fireman that restrains inflammation and liver fibrosis, via immunoreceptor inhibitory signaling. Autophagy. 16(8). 1526–1528. 16 indexed citations

7.

Mabire, Morgane, Manon Allaire, JingHong Wan, et al.. (2020). Blocking MAIT cell activation accelerates liver fibrosis regression. Journal of Hepatology. 73. S85–S86. 1 indexed citations

8.

Hegde, Pushpa, Emmanuel Weiss, Valérie Paradis, et al.. (2018). Mucosal-associated invariant T cells are a profibrogenic immune cell population in the liver. Nature Communications. 9(1). 2146–2146. 170 indexed citations

9.

Habib, Aı̈da, JingHong Wan, Pushpa Hegde, et al.. (2018). Inhibition of monoacylglycerol lipase, an anti-inflammatory and antifibrogenic strategy in the liver. Gut. 68(3). 522–532. 65 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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