Clara Correia‐Melo
- Molecular Biology top 10%
- Physiology top 2%
- Aging top 0.5%
- Immunology top 10%
- Epidemiology top 10%
- Co-authors
- João F. PassosGraeme HewittDiana JurkJelena MannRhys AndersonTimothy HardyMorgan L. TaschukGlyn Nelson
- Topics
- Telomeres, Telomerase, and Senescence (8 papers)Bioinformatics and Genomic Networks (5 papers)Microbial Metabolic Engineering and Bioproduction (5 papers)
- Journals
- NatureCellNature Communications
- Partner nations
- United KingdomGermanySweden
In The Last Decade
Clara Correia‐Melo
21 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.1k
- Physiology 1.1k
- Aging 346
- Immunology 337
- Epidemiology 273
Countries citing papers authored by Clara Correia‐Melo
This map shows the geographic impact of Clara Correia‐Melo'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 Clara Correia‐Melo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Correia‐Melo more than expected).
Fields of papers citing papers by Clara Correia‐Melo
This network shows the impact of papers produced by Clara Correia‐Melo. 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 Clara Correia‐Melo. The network helps show where Clara Correia‐Melo may publish in the future.
Co-authorship network of co-authors of Clara Correia‐Melo
This figure shows the co-authorship network connecting the top 25 collaborators of Clara Correia‐Melo. A scholar is included among the top collaborators of Clara Correia‐Melo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Clara Correia‐Melo. Clara Correia‐Melo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 0 | |
| 3 | 32 | |
| 4 | 6 | |
| 5 | 74 | |
| 6 | 8 | |
| 7 | 26 | |
| 8 | 4 | |
| 9 | 120 | |
| 10 | 28 | |
| 11 | 48 | |
| 12 | 121 | |
| 13 | 3 | |
| 14 | 119 | |
| 15 | 117 | |
| 16 | Chronic inflammation induces telomere dysfunction and accelerates ageing in micebreakdown → | 593 |
| 17 | 147 | |
| 18 | 10 | |
| 19 | Telomeres are favoured targets of a persistent DNA damage response in ageing and stress-induced senescencebreakdown → | 651 |
| 20 | 107 |
About Clara Correia‐Melo
Clara Correia‐Melo is a scholar working on Aging, Physiology and Biochemistry, having authored 22 papers that have together received 2.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (8 papers), Bioinformatics and Genomic Networks (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Aging (346 citations), Physiology (1.1k citations) and Geriatrics and Gerontology (81 citations). Clara Correia‐Melo has collaborated with scholars based in United Kingdom, Germany and Sweden. Frequent co-authors include João F. Passos, Graeme Hewitt, Diana Jurk, Jelena Mann, Rhys Anderson, Timothy Hardy, Morgan L. Taschuk, Glyn Nelson, Thomas von Zglinicki and Fiona Oakley. Their work appears in journals such as Nature, Cell and Nature Communications.
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.