Anna Noble
Impact in
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- Adipose Tissue and Metabolism
Papers in
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- CRISPR and Genetic Engineering 4
- Redox biology and oxidative stress 3
- RNA Interference and Gene Delivery 3
- ATP Synthase and ATPases Research 2
- Genomics and Chromatin Dynamics 2
- Genetics 6
- Animal Genetics and Reproduction 3
- Co-authors
- Matthew Guille (13 shared papers)Marko E. Horb (3 shared papers)Tamás Rőszer (1 shared paper)Sarah Strauß (1 shared paper)James N. Cobley (3 shared papers)Dariusz Jan Smoliński (2 shared papers)Anita Abu‐Daya (4 shared papers)Holger Husi (2 shared papers)
- Journals
- Cold Spring Harbor Protocols (2 papers)Gene (1 paper)Frontiers in Aging Neuroscience (1 paper)Journal of Leukocyte Biology (1 paper)PROTOPLASMA (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Anna Noble
18 papers receiving 322 citations
Peers
Comparison fields: 5 of 76
- Aging 7
- Physiology 18
- Molecular Biology 178
- Immunology 51
- Cell Biology 35
Countries citing papers authored by Anna Noble
This map shows the geographic impact of Anna Noble'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 Anna Noble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Noble more than expected).
Fields of papers citing papers by Anna Noble
This network shows the impact of papers produced by Anna Noble. 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 Anna Noble. The network helps show where Anna Noble may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Noble, 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 | 2017 | 63 | |
| 2 | 2011 | 46 | |
| 3 | 2019 | 35 | |
| 4 | 2017 | 27 | |
| 5 | 2015 | 25 | |
| 6 | 2007 | 19 | |
| 7 | 2019 | 17 | |
| 8 | 2015 | 15 | |
| 9 | 2020 | 14 | |
| 10 | 2011 | 13 | |
| 11 | 2004 | 12 | |
| 12 | 2014 | 9 | |
| 13 | 2012 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2016 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 1 |
About Anna Noble
Anna Noble is a scholar working on Molecular Biology, Genetics, Immunology, Global and Planetary Change and Physiology, having authored 18 papers that have together received 322 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Redox biology and oxidative stress (3 papers), Amphibian and Reptile Biology (3 papers), RNA Interference and Gene Delivery (3 papers), Animal Genetics and Reproduction (3 papers), ATP Synthase and ATPases Research (2 papers), Genomics and Chromatin Dynamics (2 papers) and Reproductive biology and impacts on aquatic species (2 papers). The work is most often cited by research in Aging (7 citations), Physiology (18 citations), Molecular Biology (178 citations), Immunology (51 citations) and Cell Biology (35 citations). Anna Noble has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Matthew Guille, Marko E. Horb, Tamás Rőszer, Sarah Strauß, James N. Cobley, Dariusz Jan Smoliński, Anita Abu‐Daya, Holger Husi, Takeshi Igawa and Atsushi Suzuki. Their work appears in journals such as Cold Spring Harbor Protocols, Gene, Frontiers in Aging Neuroscience, Journal of Leukocyte Biology and PROTOPLASMA.
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.