Gemma Nock
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
-
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- interferon and immune responses
Papers in
-
- Immune Response and Inflammation 2
-
- PI3K/AKT/mTOR signaling in cancer 2
- Melanoma and MAPK Pathways 1
- Co-authors
- Bart Vanhaesebroeck (6 shared papers)Severine Gharbi (1 shared paper)Barbara Geering (1 shared paper)Pedro R. Cutillas (1 shared paper)Maria A. Whitehead (2 shared papers)Wayne Pearce (2 shared papers)David Torres (2 shared papers)Véronique Flamand (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Cell Science (1 paper)PLoS ONE (1 paper)Nature Immunology (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United KingdomBelgiumAustralia
In The Last Decade
Gemma Nock
6 papers receiving 495 citations
Peers
Comparison fields: 5 of 71
- Genetics 82
- Immunology 149
- Molecular Biology 282
- Cancer Research 48
- Oncology 79
Countries citing papers authored by Gemma Nock
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
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-authors
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 181 | |
| 2 | 2012 | 150 | |
| 3 | 2008 | 81 | |
| 4 | 2015 | 43 | |
| 5 | 2009 | 41 | |
| 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) | 2013 | 2 |
About Gemma Nock
Gemma Nock is a scholar working on Immunology, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Public Health, Environmental and Occupational Health, having authored 6 papers that have together received 498 indexed citations. Recurring topics across this work include Immune Response and Inflammation (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Prostate Cancer Treatment and Research (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), NF-κB Signaling Pathways (1 paper), Melanoma and MAPK Pathways (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Genetics (82 citations), Immunology (149 citations), Molecular Biology (282 citations), Cancer Research (48 citations) and Oncology (79 citations). Gemma Nock has collaborated with scholars based in United Kingdom, Belgium and Australia. Frequent co-authors include Bart Vanhaesebroeck, Severine Gharbi, Barbara Geering, Pedro R. Cutillas, Maria A. Whitehead, Wayne Pearce, David Torres, Véronique Flamand, Salma Taboubi and Alain Filloux. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Cell Science, PLoS ONE, Nature Immunology and PLoS Genetics.
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.