Emma S. Chambers
- Immunology top 2%
- IL-33, ST2, and ILC Pathways 5
- Immunotherapy and Immune Responses 5
- Immune cells in cancer 5
- Immune Cell Function and Interaction 4
- Dermatology top 2%
- Dermatology and Skin Diseases 5
- Physiology top 5%
- Asthma and respiratory diseases 8
- Aging top 5%
- Biological Psychiatry top 5%
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- Vitamin D Research Studies 13
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- Neuroinflammation and Neurodegeneration Mechanisms 4
- Co-authors
- Milica Vukmanovic‐StejicCatherine M. HawrylowiczArne N. AkbarRoel P. H. De MaeyerDavid F. RichardsPaul PfefferAdrian R. MartineauOliver Devine
- Cited by
- ImmunologyDermatologyPhysiology
- Journals
- Immunology (4 papers)Journal of Allergy and Clinical Immunology (4 papers)Aging Cell (4 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Emma S. Chambers
33 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Immunology 952
- Dermatology 269
- Physiology 758
- Aging 49
- Biological Psychiatry 66
Countries citing papers authored by Emma S. Chambers
This map shows the geographic impact of Emma S. Chambers'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 Emma S. Chambers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma S. Chambers more than expected).
Fields of papers citing papers by Emma S. Chambers
This network shows the impact of papers produced by Emma S. Chambers. 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 Emma S. Chambers. The network helps show where Emma S. Chambers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emma S. Chambers, 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 | 2025 | 6 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 32 | |
| 10 | 2020 | 63 | |
| 11 | 2020 | 169 | |
| 12 | Senescent cells evade immune clearance via HLA-E-mediated NK and CD8+ T cell inhibitionbreakdown → | 2019 | 375 |
| 13 | 2019 | 36 | |
| 14 | 2017 | 79 | |
| 15 | 2015 | 135 | |
| 16 | 2014 | 57 | |
| 17 | 2014 | 37 | |
| 18 | 2013 | 140 | |
| 19 | Vitamin D increases the frequency of FoxP3+ Tregs in vitro and in vivo: differential role for IL-2 and IL-10 | 2012 | 1 |
| 20 | 2010 | 161 |
About Emma S. Chambers
Emma S. Chambers is a scholar working on Immunology, Pathology and Forensic Medicine and Dermatology, having authored 35 papers that have together received 2.3k indexed citations. Recurring topics across this work include Vitamin D Research Studies (13 papers), Asthma and respiratory diseases (8 papers), Dermatology and Skin Diseases (5 papers), IL-33, ST2, and ILC Pathways (5 papers), Immunotherapy and Immune Responses (5 papers), Immune cells in cancer (5 papers), Immune Cell Function and Interaction (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Immunology (952 citations), Dermatology (269 citations) and Physiology (758 citations). Emma S. Chambers has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Milica Vukmanovic‐Stejic, Catherine M. Hawrylowicz, Arne N. Akbar, Roel P. H. De Maeyer, David F. Richards, Paul Pfeffer, Adrian R. Martineau, Oliver Devine, Elizabeth H. Mann and Christopher J. Corrigan. Their work appears in journals such as Immunology, Journal of Allergy and Clinical Immunology, Aging Cell, Frontiers in Immunology and The Journal of Infectious Diseases.
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.