Joël Babdor

738 total citations
9 papers, 421 citations indexed

About

Joël Babdor is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Joël Babdor has authored 9 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Joël Babdor's work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (3 papers) and Adenosine and Purinergic Signaling (2 papers). Joël Babdor is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (3 papers) and Adenosine and Purinergic Signaling (2 papers). Joël Babdor collaborates with scholars based in France, United States and Germany. Joël Babdor's co-authors include Loredana Saveanu, Olivier Hermine, Ivan Cruz Moura, Pierre Guermonprez, Enric Gutiérrez-Martínez, Laura Martìnez‐Palma, Joseph S. Beckman, Thiago Trovati Maciel, Emiliano Trías and Luis Barbeito and has published in prestigious journals such as Nature Immunology, The American Journal of Human Genetics and Molecular Microbiology.

In The Last Decade

Joël Babdor

9 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joël Babdor France	9	176	169	89	83	69	9	421
Marc Lamarine Switzerland	8	166 0.9×	166 1.0×	95 1.1×	32 0.4×	61 0.9×	10	467
Tatiana Usenko Russia	11	194 1.1×	101 0.6×	107 1.2×	29 0.3×	45 0.7×	40	395
Carolyn J. Hoban United States	7	132 0.8×	152 0.9×	41 0.5×	101 1.2×	74 1.1×	11	472
Sunny Malhotra Spain	12	257 1.5×	211 1.2×	34 0.4×	58 0.7×	71 1.0×	26	484
Colin Carlock United States	10	232 1.3×	128 0.8×	23 0.3×	29 0.3×	129 1.9×	16	463
Mario Buono United Kingdom	10	178 1.0×	73 0.4×	36 0.4×	28 0.3×	28 0.4×	14	388
Gabriele Hübinger Germany	10	199 1.1×	68 0.4×	44 0.5×	29 0.3×	76 1.1×	11	492
Ribal Bassil United States	10	256 1.5×	484 2.9×	25 0.3×	110 1.3×	85 1.2×	10	689
Michael S. Lam United States	9	152 0.9×	75 0.4×	20 0.2×	45 0.5×	44 0.6×	13	365
Pardis Azmoon United States	11	164 0.9×	107 0.6×	19 0.2×	52 0.6×	38 0.6×	18	389

Countries citing papers authored by Joël Babdor

Since Specialization

Citations

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

Fields of papers citing papers by Joël Babdor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joël Babdor

This figure shows the co-authorship network connecting the top 25 collaborators of Joël Babdor. A scholar is included among the top collaborators of Joël Babdor 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 Joël Babdor. Joël Babdor 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.

Nayak, Renuka R., Cecilia Noecker, Joël Babdor, et al.. (2023). Simvastatin induces human gut bacterial cell surface genes. Molecular Microbiology. 122(3). 372–386. 11 indexed citations

2.

Hartmann, Felix J., Joël Babdor, Pier Federico Gherardini, et al.. (2019). Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy. Cell Reports. 28(3). 819–831.e4. 72 indexed citations

3.

Babdor, Joël, Michaël Dussiot, Nicolas Goudin, et al.. (2018). Impaired Transferrin Receptor Palmitoylation and Recycling in Neurodegeneration with Brain Iron Accumulation. The American Journal of Human Genetics. 102(2). 266–277. 71 indexed citations

4.

Weimershaus, Mirjana, François‐Xavier Mauvais, Loredana Saveanu, et al.. (2018). Innate Immune Signals Induce Anterograde Endosome Transport Promoting MHC Class I Cross-Presentation. Cell Reports. 24(13). 3568–3581. 31 indexed citations

5.

Coman, Téreza, Julien Rossignol, Maud D’Aveni, et al.. (2018). Human CD4- invariant NKT lymphocytes regulate graft versus host disease. OncoImmunology. 7(11). e1470735–e1470735. 27 indexed citations

6.

Babdor, Joël, Delphyne Descamps, Mira Tohmé, et al.. (2017). IRAP+ endosomes restrict TLR9 activation and signaling. Nature Immunology. 18(5). 509–518. 36 indexed citations

7.

Trías, Emiliano, Sofía Ibarburu, Joël Babdor, et al.. (2016). Post-paralysis tyrosine kinase inhibition with masitinib abrogates neuroinflammation and slows disease progression in inherited amyotrophic lateral sclerosis. Journal of Neuroinflammation. 13(1). 177–177. 115 indexed citations

8.

Babdor, Joël, et al.. (2015). Intracellular Transport Routes for MHC I and Their Relevance for Antigen Cross-Presentation. Frontiers in Immunology. 6. 335–335. 49 indexed citations

9.

Saveanu, Loredana, Joël Babdor, Myriam Lawand, & Peter Van Endert. (2012). Insulin-regulated aminopeptidase and its compartment in dendritic cells. Molecular Immunology. 55(2). 153–155. 9 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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