Inês Lopes
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
Papers in
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- Single-cell and spatial transcriptomics 2
- Genomics and Chromatin Dynamics 1
- Genomics and Phylogenetic Studies 1
- Ubiquitin and proteasome pathways 1
- Epigenetics and DNA Methylation 1
- Co-authors
- João Pedro de Magalhães (5 shared papers)Priyanka Raina (2 shared papers)Kasit Chatsirisupachai (2 shared papers)Roberto A. Avelar (2 shared papers)Diogo Barardo (1 shared paper)Patrick Guest (1 shared paper)Peter A. Clark (1 shared paper)Evandro A. De‐Souza (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Frontiers in Genetics (1 paper)Molecular Biology and Evolution (1 paper)Mammalian Genome (1 paper)Dialnet (Universidad de la Rioja) (1 paper)
- Partner nations
- United KingdomBrazilUnited States
In The Last Decade
Inês Lopes
6 papers receiving 186 citations
Peers
Comparison fields: 5 of 79
- Aging 23
- Molecular Biology 105
- Cancer Research 19
- Neuropsychology and Physiological Psychology 2
- Equine 2
Countries citing papers authored by Inês Lopes
This map shows the geographic impact of Inês Lopes'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 Inês Lopes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inês Lopes more than expected).
Fields of papers citing papers by Inês Lopes
This network shows the impact of papers produced by Inês Lopes. 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 Inês Lopes. The network helps show where Inês Lopes may publish in the future.
Co-authors
The 14 scholars most cited alongside Inês Lopes, 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 | 2021 | 81 | |
| 2 | 2023 | 45 | |
| 3 | 2022 | 28 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 16 | |
| 6 | Biblioteca Nacional de Portugal | 1995 | 3 |
About Inês Lopes
Inês Lopes is a scholar working on Molecular Biology, Small Animals, Genetics, Aging and Immunology, having authored 6 papers that have together received 190 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Genomics and Chromatin Dynamics (1 paper), Genomics and Phylogenetic Studies (1 paper), Ubiquitin and proteasome pathways (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper), Epigenetics and DNA Methylation (1 paper), Human-Animal Interaction Studies (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Aging (23 citations), Molecular Biology (105 citations), Cancer Research (19 citations), Neuropsychology and Physiological Psychology (2 citations) and Equine (2 citations). Inês Lopes has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include João Pedro de Magalhães, Priyanka Raina, Kasit Chatsirisupachai, Roberto A. Avelar, Diogo Barardo, Patrick Guest, Peter A. Clark, Evandro A. De‐Souza, Daniel Thornton and Gianni Monaco. Their work appears in journals such as Nucleic Acids Research, Frontiers in Genetics, Molecular Biology and Evolution, Mammalian Genome and Dialnet (Universidad de la Rioja).
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.