Gemma Nock

606 citations
6 papers · 485 indexed · h-index 5
  • Genetics top 10%
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
    • Immune Response and Inflammation 2
    • interferon and immune responses 1
    • Mast cells and histamine 1
    • PI3K/AKT/mTOR signaling in cancer 2
    • Protein Kinase Regulation and GTPase Signaling 1
    • Cancer-related gene regulation 1
    • NF-κB Signaling Pathways 2

Gemma Nock

6 papers receiving 482 citations

Peers

Gemma Nock
Comparison fields: 5 of 74
  • Genetics 85
  • Immunology 157
  • Molecular Biology 288
  • Cancer Research 51
  • Oncology 87
Replace Koon-Guan Lee with:
Koon-Guan Lee Singapore
Marianna Boncristiano Italy
Claude Tschopp Switzerland
A Haimovici Germany
Clare Dempsey United Kingdom
Eliana B Gómez United States
Dania Haddad Kuwait
Ramona Ilari Italy
Mehdi Tnani United States
Sumihito Togi Japan
Gemma Nock relative to Koon-Guan Lee Singapore Koon-Guan Lee's profile →
Citations per field
00.5×1.5×
Koon-Guan Lee · 1×
Citations per year

Countries citing papers authored by Gemma Nock

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Nock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Gemma Nock, 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 Gemma Nock Line = papers co-authored together Gemma Nock links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201540
2
The p110 delta isoform of the kinase PI(3)K controls the subcellular compartmentalization of TLR4 signaling and protects from endotoxic shock (vol 13, pg 1045, 2012)
20132
3 2012148
4 200941
5 200879
6 2007175

About Gemma Nock

Gemma Nock is a scholar working on Immunology, Cancer Research, Molecular Biology, Oncology and Genetics, having authored 6 papers that have together received 485 indexed citations. Recurring topics across this work include Immune Response and Inflammation (2 papers), NF-κB Signaling Pathways (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), interferon and immune responses (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Mast cells and histamine (1 paper), Cancer-related gene regulation (1 paper) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Genetics (85 citations), Immunology (157 citations), Molecular Biology (288 citations), Cancer Research (51 citations) and Oncology (87 citations). Gemma Nock has collaborated with scholars based in United Kingdom, Australia and Greece. Frequent co-authors include Bart Vanhaesebroeck, Severine Gharbi, Pedro R. Cutillas, Barbara Geering, Maria A. Whitehead, Wayne Pearce, Sandrine Delbauve, Abderrahman Hachani, Rudi Beyaert and Alain Filloux. Their work appears in journals such as Nature Immunology, Journal of Cell Science, Proceedings of the National Academy of Sciences, PLoS Genetics and PLoS ONE.

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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