Gemma E. Nock

614 citations
6 papers · 508 · h-index 5

Impact in

    • Chronic Lymphocytic Leukemia Research
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • interferon and immune responses

Papers in

    • Immune Response and Inflammation 2
    • Mast cells and histamine 1
    • interferon and immune responses 1
    • NF-κB Signaling Pathways 1

Gemma E. Nock

6 papers receiving 501 citations

Peers

Gemma E. Nock
Comparison fields: 5 of 70
  • Genetics 86
  • Immunology 149
  • Molecular Biology 292
  • Cancer Research 47
  • Oncology 78
Replace Michael J. Pattison with:
Michael J. Pattison United Kingdom
Ons Mamaï Tunisia
Marianna Boncristiano Italy
Giorgia Montano Sweden
Jie Zhang-Hoover United States
Dorine Wouters Netherlands
N. J. Philpott United Kingdom
Neus Serrat Spain
Dragana Vujić Serbia
Mehdi Tnani France
Gemma E. Nock relative to Michael J. Pattison United Kingdom Michael J. Pattison's profile →
Citations per field
00.5×1.6×
Michael J. Pattison · 1×
Citations per year

Countries citing papers authored by Gemma E. Nock

Since Specialization
Citations

This map shows the geographic impact of Gemma E. 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 E. 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 E. Nock more than expected).

Fields of papers citing papers by Gemma E. Nock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2007185
2 2012153
3 200882
4 201545
5 200941
6
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

About Gemma E. Nock

Gemma E. Nock is a scholar working on Immunology, Cancer Research, Oncology, Public Health, Environmental and Occupational Health and Genetics, having authored 6 papers that have together received 508 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (2 papers), Immune Response and Inflammation (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Mast cells and histamine (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), interferon and immune responses (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Genetics (86 citations), Immunology (149 citations), Molecular Biology (292 citations), Cancer Research (47 citations) and Oncology (78 citations). Gemma E. Nock has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Bart Vanhaesebroeck, Pedro Rodriguez Cutillas, Barbara Geering, Severine Gharbi, Wayne P Pearce, Maria A. Whitehead, Salma Taboubi, Abderrahman Hachani, Alain Filloux and David Torres. Their work appears in journals such as Journal of Cell Science, Nature Immunology, PLoS Genetics, Proceedings of the National Academy of Sciences 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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