Suzanne Mudd

5.6k citations
12 papers · 4.5k indexed · 6 hit papers · h-index 12

Suzanne Mudd

12 papers receiving 4.4k citations

Hit Papers

The Serine Protease TMPRSS6 Is Required to Sense Iron Def...44320032026201020182505007501000

Peers

Suzanne Mudd
Comparison fields: 5 of 107
  • Immunology 3.3k
  • Microbiology 372
  • Hematology 494
  • Genetics 338
  • Cancer Research 446
Replace Toshiaki Ohteki with:
Toshiaki Ohteki Japan
Edina Schweighoffer United Kingdom
Didier Leturcq United States
Martijn A. Nolte Netherlands
Felicia F. Chen United States
Paul W. Dempsey United States
Maria Wysocka United States
Hans‐Willi Mittrücker Germany
Osamu Adachi Japan
Edith M. Janssen United States
Suzanne Mudd relative to Toshiaki Ohteki Japan Toshiaki Ohteki's profile →
Citations per field
00.5×3.1×
Toshiaki Ohteki · 1×
Citations per year

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

The 25 scholars most cited alongside Suzanne Mudd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suzanne Mudd Line = papers co-authored together Suzanne Mudd links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
The Serine Protease TMPRSS6 Is Required to Sense Iron Deficiencybreakdown →
2008443
2 200812
3 2007138
4
The Unc93b1 mutation 3d disrupts exogenous antigen presentation and signaling via Toll-like receptors 3, 7 and 9breakdown →
2006553
5 2006135
6 2006113
7
CD36 is a sensor of diacylglyceridesbreakdown →
2005693
8
CD14 is required for MyD88-independent LPS signalingbreakdown →
2005534
9 200546
10 200462
11
Toll-like receptors 9 and 3 as essential components of innate immune defense against mouse cytomegalovirus infectionbreakdown →
2004759
12
Identification of Lps2 as a key transducer of MyD88-independent TIR signallingbreakdown →
20031009

About Suzanne Mudd

Suzanne Mudd is a scholar working on Immunology, Microbiology and Hematology, having authored 12 papers that have together received 4.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (7 papers), Immune Cell Function and Interaction (5 papers), Antimicrobial Peptides and Activities (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Parvovirus B19 Infection Studies (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), NF-κB Signaling Pathways (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (3.3k citations), Microbiology (372 citations) and Hematology (494 citations). Suzanne Mudd has collaborated with scholars based in United States, Germany and Switzerland. Frequent 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. Their work appears in journals such as The Journal of Experimental Medicine, Nature, Nature Immunology, European Journal of Immunology and Proceedings of the National Academy of Sciences.

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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