Michael Gobert

3.4k total citations · 1 hit paper
14 papers, 2.6k citations indexed

About

Michael Gobert is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Michael Gobert has authored 14 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 4 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Michael Gobert's work include Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (8 papers). Michael Gobert is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (8 papers). Michael Gobert collaborates with scholars based in France, United States and Germany. Michael Gobert's co-authors include Christophe Caux, Christine Ménétrier‐Caux, Jean‐Yves Blay, Isabelle Durand, Isabelle Treilleux, Nathalie Bendriss‐Vermare, Thomas Bachelot, Sophie Goddard‐Léon, Cathy Biota and Julien Faget and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Cancer Research.

In The Last Decade

Michael Gobert

14 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Regulatory T Cells Recruited through CCL22/CCR4 Are Selectively Activated in Lymphoid Infiltrates Surrounding Primary Breast Tumors and Lead to an Adverse Clinical Outcome

2009 562 citations Michael Gobert, Isabelle Treilleux et al. Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Gobert France	12	2.0k	1.0k	672	158	139	14	2.6k
Carlos G. Briseño United States	23	2.2k 1.1×	676 0.6×	665 1.0×	110 0.7×	80 0.6×	28	2.7k
Matthew J. Riese United States	26	1.1k 0.5×	817 0.8×	789 1.2×	127 0.8×	184 1.3×	57	2.1k
Naoko Aoki Japan	28	1.2k 0.6×	569 0.5×	510 0.8×	159 1.0×	61 0.4×	70	1.8k
Matthew E. Pipkin United States	20	2.5k 1.3×	1.1k 1.0×	943 1.4×	99 0.6×	166 1.2×	42	3.4k
Anna Wasiuk United States	10	1.6k 0.8×	851 0.8×	394 0.6×	86 0.5×	98 0.7×	17	2.2k
Jared F. Purton Australia	15	1.8k 0.9×	602 0.6×	545 0.8×	68 0.4×	156 1.1×	16	2.3k
Emanuele Giurisato Italy	22	1.1k 0.6×	440 0.4×	788 1.2×	94 0.6×	88 0.6×	39	2.1k
Mar Cabeza-Cabrerizo United Kingdom	8	1.7k 0.9×	921 0.9×	522 0.8×	79 0.5×	65 0.5×	9	2.3k
Árpád Lányi Hungary	24	1.2k 0.6×	487 0.5×	597 0.9×	126 0.8×	82 0.6×	50	2.0k

Countries citing papers authored by Michael Gobert

Since Specialization

Citations

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

Fields of papers citing papers by Michael Gobert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gobert

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

All Works

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14 of 14 papers shown

Ducobu, François, et al.. (2024). Identification of the Constitutive and Friction Models Parameters via a Multi-Objective Surrogate-Assisted Algorithm for the Modeling of Machining—Application to Arbitrary Lagrangian Eulerian Orthogonal Cutting of Ti6Al4V. Journal of Manufacturing Science and Engineering. 146(6). 1 indexed citations

Yang, Yi, Miriam B. Torchinsky, Michael Gobert, et al.. (2014). Focused specificity of intestinal TH17 cells towards commensal bacterial antigens. Nature. 510(7503). 152–156. 381 indexed citations

Mercier, Isabelle Le, Dominique Poujol, Amélien Sanlaville, et al.. (2013). Tumor Promotion by Intratumoral Plasmacytoid Dendritic Cells Is Reversed by TLR7 Ligand Treatment. Cancer Research. 73(15). 4629–4640. 156 indexed citations

Faget, Julien, Nathalie Bendriss‐Vermare, Michael Gobert, et al.. (2012). ICOS-Ligand Expression on Plasmacytoid Dendritic Cells Supports Breast Cancer Progression by Promoting the Accumulation of Immunosuppressive CD4+ T Cells. Cancer Research. 72(23). 6130–6141. 159 indexed citations

Sisirak, Vanja, Julien Faget, Michael Gobert, et al.. (2012). Impaired IFN-α Production by Plasmacytoid Dendritic Cells Favors Regulatory T-cell Expansion That May Contribute to Breast Cancer Progression. Cancer Research. 72(20). 5188–5197. 269 indexed citations

Ménétrier‐Caux, Christine, Julien Faget, Cathy Biota, et al.. (2012). Innate immune recognition of breast tumor cells mediates CCL22 secretion favoring Treg recruitment within tumor environment. OncoImmunology. 1(5). 759–761. 26 indexed citations

Weiss, Jonathan M., Angelina M. Bilate, Michael Gobert, et al.. (2012). Neuropilin 1 is expressed on thymus-derived natural regulatory T cells, but not mucosa-generated induced Foxp3+ T reg cells. The Journal of Experimental Medicine. 209(10). 1723–1742. 480 indexed citations

Mendoza, Alejandra, Béatrice Bréart, Willy D. Ramos-Pérez, et al.. (2012). The Transporter Spns2 Is Required for Secretion of Lymph but Not Plasma Sphingosine-1-Phosphate. Cell Reports. 2(5). 1104–1110. 134 indexed citations

Labidi‐Galy, Sana Intidhar, Vanja Sisirak, Pierre Méeus, et al.. (2011). Quantitative and Functional Alterations of Plasmacytoid Dendritic Cells Contribute to Immune Tolerance in Ovarian Cancer. Cancer Research. 71(16). 5423–5434. 187 indexed citations

10.

Faget, Julien, Cathy Biota, Thomas Bachelot, et al.. (2011). Early Detection of Tumor Cells by Innate Immune Cells Leads to Treg Recruitment through CCL22 Production by Tumor Cells. Cancer Research. 71(19). 6143–6152. 103 indexed citations

11.

Bréart, Béatrice, Willy D. Ramos-Pérez, Alejandra Mendoza, et al.. (2011). Lipid phosphate phosphatase 3 enables efficient thymic egress. The Journal of Experimental Medicine. 208(6). 1267–1278. 92 indexed citations

12.

Faget, Julien, Cathy Biota, Thomas Bachelot, et al.. (2010). Abstract 1341: Early detection of tumor cells by innate immune cells leads to Treg recruitment through CCL22 production by tumor cells. Cancer Research. 70(8_Supplement). 1341–1341. 1 indexed citations

13.

Gobert, Michael, Isabelle Treilleux, Nathalie Bendriss‐Vermare, et al.. (2009). Regulatory T Cells Recruited through CCL22/CCR4 Are Selectively Activated in Lymphoid Infiltrates Surrounding Primary Breast Tumors and Lead to an Adverse Clinical Outcome. Cancer Research. 69(5). 2000–2009. 562 indexed citations breakdown →

14.

Ménétrier‐Caux, Christine, Michael Gobert, & Christophe Caux. (2009). Differences in Tumor Regulatory T-Cell Localization and Activation Status Impact Patient Outcome. Cancer Research. 69(20). 7895–7898. 91 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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