Tatiana Michel

4.1k total citations · 3 hit papers
21 papers, 3.1k citations indexed

About

Tatiana Michel is a scholar working on Immunology, Neurology and Microbiology. According to data from OpenAlex, Tatiana Michel has authored 21 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 3 papers in Neurology and 3 papers in Microbiology. Recurrent topics in Tatiana Michel's work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (7 papers) and Reproductive System and Pregnancy (4 papers). Tatiana Michel is often cited by papers focused on Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (7 papers) and Reproductive System and Pregnancy (4 papers). Tatiana Michel collaborates with scholars based in Luxembourg, France and Denmark. Tatiana Michel's co-authors include Jacques Zimmer, Julien Royet, Aurélie Poli, François Hentges, Jules A. Hoffmann, Jean‐Marc Reichhart, Emmanuel Andrès, Maud Thérésine, Dominique Ferrandon and Geoffrey M. Duyk and has published in prestigious journals such as Nature, Blood and Nature Immunology.

In The Last Decade

Tatiana Michel

21 papers receiving 3.1k citations

Hit Papers

CD56bright natural killer (NK) cells: an important NK cel... 2001 2026 2009 2017 2008 2001 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tatiana Michel Luxembourg 15 2.6k 828 460 426 377 21 3.1k
Baohua Zhou United States 30 2.1k 0.8× 207 0.3× 426 0.9× 509 1.2× 195 0.5× 48 4.2k
Hirotaka Kanuka Japan 33 1.1k 0.4× 367 0.4× 554 1.2× 1.6k 3.7× 149 0.4× 92 3.6k
David L. Lamar United States 6 746 0.3× 193 0.2× 112 0.2× 363 0.9× 156 0.4× 8 1.3k
Andrew R. Pachner United States 38 833 0.3× 215 0.3× 107 0.2× 409 1.0× 478 1.3× 135 4.7k
Jean-Claude Rousselle France 23 303 0.1× 240 0.3× 187 0.4× 1.8k 4.2× 146 0.4× 35 2.6k
Karin E. Peterson United States 33 1.3k 0.5× 71 0.1× 197 0.4× 663 1.6× 266 0.7× 101 3.0k
BARBARA J. RUTLEDGE United States 18 1.0k 0.4× 55 0.1× 188 0.4× 761 1.8× 641 1.7× 20 2.8k
I. Nicholson Australia 23 757 0.3× 125 0.2× 43 0.1× 647 1.5× 875 2.3× 53 2.0k
Howard L. Lipton United States 45 1.4k 0.5× 92 0.1× 244 0.5× 1.2k 2.8× 310 0.8× 134 6.4k
M. Joseph France 30 835 0.3× 45 0.1× 194 0.4× 364 0.9× 94 0.2× 76 2.9k

Countries citing papers authored by Tatiana Michel

Since Specialization
Citations

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

Fields of papers citing papers by Tatiana Michel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatiana Michel

This figure shows the co-authorship network connecting the top 25 collaborators of Tatiana Michel. A scholar is included among the top collaborators of Tatiana Michel 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 Tatiana Michel. Tatiana Michel 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.
Poli, Aurélie, Anaïs Oudin, Arnaud Muller, et al.. (2022). Allergic airway inflammation delays glioblastoma progression and reinvigorates systemic and local immunity in mice. Allergy. 78(3). 682–696. 5 indexed citations
2.
El‐Khoury, Victoria, et al.. (2022). Personalized Drug Screening for Functional Tumor Profiling. Cambridge University Press eBooks. 5 indexed citations
3.
Michel, Tatiana, Markus Ollert, & Jacques Zimmer. (2022). A Hot Topic: Cancer Immunotherapy and Natural Killer Cells. International Journal of Molecular Sciences. 23(2). 797–797. 10 indexed citations
4.
Domingues, Olivia, et al.. (2020). Revisiting the Role of Neurotrophic Factors in Inflammation. Cells. 9(4). 865–865. 35 indexed citations
5.
García‐García, Andrés, Claudia Korn, María García‐Fernández, et al.. (2018). Dual cholinergic signals regulate daily migration of hematopoietic stem cells and leukocytes. Blood. 133(3). 224–236. 74 indexed citations
6.
Poli, Aurélie, et al.. (2018). Revisiting the Functional Impact of NK Cells. Trends in Immunology. 39(6). 460–472. 24 indexed citations
7.
Mori, Simone, Shuei Sugama, William Nguyen, et al.. (2017). Lack of interleukin-13 receptor α1 delays the loss of dopaminergic neurons during chronic stress. Journal of Neuroinflammation. 14(1). 88–88. 25 indexed citations
8.
Iserentant, Gilles, Aurélie Poli, Virginie Fiévez, et al.. (2017). Human CD56dimCD16dim Cells As an Individualized Natural Killer Cell Subset. Frontiers in Immunology. 8. 99 indexed citations
9.
Domingues, Olivia, et al.. (2015). Neurturin Influences Inflammatory Responses and Airway Remodeling in Different Mouse Asthma Models. The Journal of Immunology. 194(4). 1423–1433. 13 indexed citations
11.
Michel, Tatiana, François Hentges, & Jacques Zimmer. (2013). Consequences of the crosstalk between monocytes/macrophages and natural killer cells. Frontiers in Immunology. 3. 403–403. 111 indexed citations
12.
Michel, Tatiana, Aurélie Poli, Olivia Domingues, et al.. (2012). Mouse Lung and Spleen Natural Killer Cells Have Phenotypic and Functional Differences, in Part Influenced by Macrophages. PLoS ONE. 7(12). e51230–e51230. 45 indexed citations
13.
Michel, Tatiana, Maud Thérésine, Aurélie Poli, et al.. (2011). Increased Th2 Cytokine Secretion, Eosinophilic Airway Inflammation, and Airway Hyperresponsiveness in Neurturin-Deficient Mice. The Journal of Immunology. 186(11). 6497–6504. 16 indexed citations
14.
Bubnoff, Dagmar von, Emmanuel Andrès, François Hentges, et al.. (2010). Natural killer cells in atopic and autoimmune diseases of the skin. Journal of Allergy and Clinical Immunology. 125(1). 60–68. 70 indexed citations
15.
Poli, Aurélie, Nicolaas H. C. Brons, Wim Ammerlaan, et al.. (2010). Novel method for isolating untouched rat natural killer cells with higher purity compared with positive selection and fluorescence‐activated cell sorting. Immunology. 131(3). 386–394. 9 indexed citations
16.
Poli, Aurélie, Tatiana Michel, Maud Thérésine, et al.. (2008). CD56bright natural killer (NK) cells: an important NK cell subset. Immunology. 126(4). 458–465. 731 indexed citations breakdown →
17.
Ralainirina, Natacha, Aurélie Poli, Tatiana Michel, et al.. (2006). Control of NK cell functions by CD4+CD25+ regulatory T cells. Journal of Leukocyte Biology. 81(1). 144–153. 141 indexed citations
18.
Vignal, Cécile, et al.. (2004). Function of the drosophila pattern-recognition receptor PGRP-SD in the detection of Gram-positive bacteria. Nature Immunology. 5(11). 1175–1180. 213 indexed citations
19.
Gottar, Marie, Vanessa Gobert, Tatiana Michel, et al.. (2002). The Drosophila immune response against Gram-negative bacteria is mediated by a peptidoglycan recognition protein. Nature. 416(6881). 640–644. 554 indexed citations breakdown →
20.
Michel, Tatiana, Jean‐Marc Reichhart, Jules A. Hoffmann, & Julien Royet. (2001). Drosophila Toll is activated by Gram-positive bacteria through a circulating peptidoglycan recognition protein. Nature. 414(6865). 756–759. 647 indexed citations breakdown →

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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