Marie Gottar

1.8k total citations · 2 hit papers
7 papers, 1.4k citations indexed

About

Marie Gottar is a scholar working on Immunology, Insect Science and Molecular Biology. According to data from OpenAlex, Marie Gottar has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Insect Science and 2 papers in Molecular Biology. Recurrent topics in Marie Gottar's work include Invertebrate Immune Response Mechanisms (5 papers), Insect symbiosis and bacterial influences (4 papers) and Antimicrobial Peptides and Activities (2 papers). Marie Gottar is often cited by papers focused on Invertebrate Immune Response Mechanisms (5 papers), Insect symbiosis and bacterial influences (4 papers) and Antimicrobial Peptides and Activities (2 papers). Marie Gottar collaborates with scholars based in France, Switzerland and United States. Marie Gottar's co-authors include Vanessa Gobert, Dominique Ferrandon, Marcia Belvin, Julien Royet, Jules A. Hoffmann, Alexey A. Matskevich, Tatiana Michel, Jules A. Hoffmann, Geoffrey M. Duyk and Jean‐Marc Reichhart and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Marie Gottar

7 papers receiving 1.4k citations

Hit Papers

The Drosophila immune response against Gram-negative bact... 2002 2026 2010 2018 2002 2006 100 200 300 400 500
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.

  1. The Drosophila immune response against Gram-negative bacteria is mediated by a peptidoglycan recognition protein
    2002 554 citations Marie Gottar, Vanessa Gobert et al. Nature profile →
  2. Dual Detection of Fungal Infections in Drosophila via Recognition of Glucans and Sensing of Virulence Factors
    2006 357 citations Marie Gottar, Vanessa Gobert et al. Cell profile →

Peers

Marie Gottar
Vanessa Gobert France
Pascal Manfruelli United States
Kwang‐Min Choe South Korea
Anni Kleino Finland
Alexey A. Matskevich Switzerland
Takahiro Tanji Japan
Henna Myllymäki Finland
Linh N Pham United States
Nicholas Paquette United States
Vanessa Gobert France
Marie Gottar
Citations per year, relative to Marie Gottar Marie Gottar (= 1×) peers Vanessa Gobert

Countries citing papers authored by Marie Gottar

Since Specialization
Citations

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

Fields of papers citing papers by Marie Gottar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Gottar

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

All Works

7 of 7 papers shown
1.
Thevenon, Dominique, Amélie Avet‐Rochex, Marie Gottar, et al.. (2009). The Drosophila Ubiquitin-Specific Protease dUSP36/Scny Targets IMD to Prevent Constitutive Immune Signaling. Cell Host & Microbe. 6(4). 309–320. 72 indexed citations
2.
Gottar, Marie, et al.. (2008). The Lysosomal Transmembrane Protein 9B Regulates the Activity of Inflammatory Signaling Pathways. Journal of Biological Chemistry. 283(31). 21487–21494. 44 indexed citations
3.
Ferrandon, Dominique, Marie Gottar, & Vanessa Gobert. (2007). Un nouveau mécanisme de détection des infections par le système immunitaire inné des animaux. médecine/sciences. 23(8-9). 707–709. 2 indexed citations
4.
Gottar, Marie, Vanessa Gobert, Alexey A. Matskevich, et al.. (2006). Dual Detection of Fungal Infections in Drosophila via Recognition of Glucans and Sensing of Virulence Factors. Cell. 127(7). 1425–1437. 357 indexed citations breakdown →
5.
Gobert, Vanessa, Marie Gottar, Alexey A. Matskevich, et al.. (2003). Dual Activation of the Drosophila Toll Pathway by Two Pattern Recognition Receptors. Science. 302(5653). 2126–2130. 323 indexed citations
6.
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 →
7.
Schaniel, Christoph, Marie Gottar, Eddy Roosnek, Fritz Melchers, & Antonius Rolink. (2002). Extensive in vivo self-renewal, long-term reconstitution capacity, and hematopoietic multipotency of Pax5-deficient precursor B-cell clones. Blood. 99(8). 2760–2766. 47 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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