Suzanne Mudd

5.6k total citations · 6 hit papers
12 papers, 4.5k citations indexed

About

Suzanne Mudd is a scholar working on Immunology, Epidemiology and Hematology. According to data from OpenAlex, Suzanne Mudd has authored 12 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 4 papers in Epidemiology and 3 papers in Hematology. Recurrent topics in Suzanne Mudd's work include Immune Response and Inflammation (7 papers), Immune Cell Function and Interaction (5 papers) and Antimicrobial Peptides and Activities (2 papers). Suzanne Mudd is often cited by papers focused on Immune Response and Inflammation (7 papers), Immune Cell Function and Interaction (5 papers) and Antimicrobial Peptides and Activities (2 papers). Suzanne Mudd collaborates with scholars based in United States, Germany and Italy. Suzanne Mudd's co-authors include Bruce Beutler, Xin Du, Sosathya Sovath, Philippe Georgel, Karine Crozat, Kasper Hoebe, Louis Shamel, Edith M. Janssen, Koichi Tabeta and Jason Goode and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Suzanne Mudd

12 papers receiving 4.4k citations

Hit Papers

Identification of Lps2 as a key transducer of MyD88-indep... 2003 2026 2010 2018 2003 2004 2005 2006 2005 250 500 750 1000
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. Identification of Lps2 as a key transducer of MyD88-independent TIR signalling
    2003 1.0k citations Kasper Hoebe, Xin Du et al. Nature profile →
  2. Toll-like receptors 9 and 3 as essential components of innate immune defense against mouse cytomegalovirus infection
    2004 759 citations Koichi Tabeta, Philippe Georgel et al. Proceedings of the National Academy of Sciences profile →
  3. CD36 is a sensor of diacylglycerides
    2005 693 citations Kasper Hoebe, Philippe Georgel et al. Nature profile →
  4. The Unc93b1 mutation 3d disrupts exogenous antigen presentation and signaling via Toll-like receptors 3, 7 and 9
    2006 553 citations Koichi Tabeta, Kasper Hoebe et al. Nature Immunology profile →
  5. CD14 is required for MyD88-independent LPS signaling
    2005 534 citations Zhengfan Jiang, Philippe Georgel et al. Nature Immunology profile →
  6. The Serine Protease TMPRSS6 Is Required to Sense Iron Deficiency
    2008 443 citations Xin Du, Terri Gelbart et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suzanne Mudd United States 12 3.3k 925 849 494 446 12 4.5k
Martijn A. Nolte Netherlands 34 3.8k 1.2× 1.1k 1.2× 638 0.8× 575 1.2× 251 0.6× 86 5.6k
Didier Leturcq United States 18 1.6k 0.5× 588 0.6× 553 0.7× 363 0.7× 200 0.4× 20 2.8k
Edina Schweighoffer United Kingdom 30 4.1k 1.3× 1.9k 2.1× 1.0k 1.2× 468 0.9× 247 0.6× 43 6.4k
Toshiaki Ohteki Japan 49 6.5k 2.0× 2.1k 2.3× 790 0.9× 505 1.0× 426 1.0× 115 8.8k
Paul W. Dempsey United States 20 3.0k 0.9× 1.3k 1.5× 461 0.5× 170 0.3× 1.0k 2.3× 29 4.4k
Felicia F. Chen United States 13 4.0k 1.2× 2.3k 2.5× 1.6k 1.9× 256 0.5× 826 1.9× 13 7.2k
Tamás Laskay Germany 37 2.5k 0.8× 837 0.9× 1.4k 1.6× 250 0.5× 108 0.2× 81 5.0k
Fabienne Willems Belgium 43 3.9k 1.2× 913 1.0× 842 1.0× 148 0.3× 324 0.7× 75 5.5k
Osamu Adachi Japan 16 4.0k 1.2× 1.5k 1.6× 938 1.1× 168 0.3× 1.2k 2.6× 64 5.7k
Colin J. Sanderson Australia 37 3.1k 1.0× 1.1k 1.2× 430 0.5× 230 0.5× 174 0.4× 112 6.5k

Countries citing papers authored by Suzanne Mudd

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Mudd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Mudd

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

All Works

12 of 12 papers shown
1.
Du, Xin, Terri Gelbart, Jaroslav Truksa, et al.. (2008). The Serine Protease TMPRSS6 Is Required to Sense Iron Deficiency. Science. 320(5879). 1088–1092. 443 indexed citations breakdown →
2.
Crozat, Karine, Kasper Hoebe, Sophie Ugolini, et al.. (2008). Jinx, an MCMV susceptibility phenotype caused by disruption of Unc13d: a mouse model of type 3 familial hemophagocytic lymphohistiocytosis. The Journal of Experimental Medicine. 205(3). 737–737. 12 indexed citations
3.
Crozat, Karine, Kasper Hoebe, Sophie Ugolini, et al.. (2007). Jinx , an MCMV susceptibility phenotype caused by disruption of Unc13d : a mouse model of type 3 familial hemophagocytic lymphohistiocytosis. The Journal of Experimental Medicine. 204(4). 853–863. 138 indexed citations
4.
Jiang, Zhengfan, Philippe Georgel, Chenglong Li, et al.. (2006). Details of Toll-like receptor:adapter interaction revealed by germ-line mutagenesis. Proceedings of the National Academy of Sciences. 103(29). 10961–10966. 113 indexed citations
5.
Huber, Michael, Christoph Kalis, Simone Keck, et al.. (2006). R‐form LPS, the master key to the activation ofTLR4/MD‐2‐positive cells. European Journal of Immunology. 36(3). 701–711. 135 indexed citations
6.
Tabeta, Koichi, Kasper Hoebe, Edith M. Janssen, et al.. (2006). The Unc93b1 mutation 3d disrupts exogenous antigen presentation and signaling via Toll-like receptors 3, 7 and 9. Nature Immunology. 7(2). 156–164. 553 indexed citations breakdown →
7.
Hoebe, Kasper, Philippe Georgel, Sophie Rutschmann, et al.. (2005). CD36 is a sensor of diacylglycerides. Nature. 433(7025). 523–527. 693 indexed citations breakdown →
8.
Jiang, Zhengfan, Philippe Georgel, Xin Du, et al.. (2005). CD14 is required for MyD88-independent LPS signaling. Nature Immunology. 6(6). 565–570. 534 indexed citations breakdown →
9.
Du, Xin, Koichi Tabeta, Navjiwan Mann, et al.. (2005). An essential role for Rxrα in the development of Th2 responses. European Journal of Immunology. 35(12). 3414–3423. 46 indexed citations
10.
Du, Xin, Koichi Tabeta, Kasper Hoebe, et al.. (2004). Velvet, a Dominant Egfr Mutation That Causes Wavy Hair and Defective Eyelid Development in Mice. Genetics. 166(1). 331–340. 62 indexed citations
11.
Tabeta, Koichi, Philippe Georgel, Edith M. Janssen, et al.. (2004). Toll-like receptors 9 and 3 as essential components of innate immune defense against mouse cytomegalovirus infection. Proceedings of the National Academy of Sciences. 101(10). 3516–3521. 759 indexed citations breakdown →
12.
Hoebe, Kasper, Xin Du, Philippe Georgel, et al.. (2003). Identification of Lps2 as a key transducer of MyD88-independent TIR signalling. Nature. 424(6950). 743–748. 1009 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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