Susanna Cirera
- Cancer Research top 2%
- MicroRNA in disease regulation 28
- Cancer-related molecular mechanisms research 22
- Animal Science and Zoology top 2%
- Molecular Biology top 5%
- Molecular Biology Techniques and Applications 13
- RNA and protein synthesis mechanisms 10
- Circular RNAs in diseases 9
- Genetics top 5%
- Genetic and phenotypic traits in livestock 14
- Genetic Mapping and Diversity in Plants and Animals 12
- Endocrinology top 5%
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- Adipose Tissue and Metabolism 10
- Co-authors
- Merete FredholmClaus B. JørgensenPeter Kamp BuskAnn-Britt NygårdIngrid BalcellsMontserrat AguadéAgnieszka PodolskaJan Gorodkin
- Partner nations
- DenmarkSpainUnited Kingdom
In The Last Decade
Susanna Cirera
108 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 124
- Cancer Research 790
- Animal Science and Zoology 232
- Molecular Biology 1.5k
- Genetics 561
- Endocrinology 98
Countries citing papers authored by Susanna Cirera
This map shows the geographic impact of Susanna Cirera'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 Susanna Cirera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanna Cirera more than expected).
Fields of papers citing papers by Susanna Cirera
This network shows the impact of papers produced by Susanna Cirera. 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 Susanna Cirera. The network helps show where Susanna Cirera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Susanna Cirera, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 13 | |
| 7 | 2019 | 2 | |
| 8 | 2019 | 7 | |
| 9 | 2019 | 5 | |
| 10 | 2016 | 6 | |
| 11 | Systems Genetics Analysis of Obesity using RNA-Seq Data in an F2 Pig Resource Population | 2014 | 1 |
| 12 | Genome-wide linkage disequilibrium linkage analysis (LDLA) of body fat traits in an F2 porcine model for human obesity | 2014 | 3 |
| 13 | 2013 | 107 | |
| 14 | 2012 | 49 | |
| 15 | 2011 | 68 | |
| 16 | 2008 | 33 | |
| 17 | 2007 | 15 | |
| 18 | 2007 | 8 | |
| 19 | 2004 | 0 | |
| 20 | Diagnóstico de hiperquilomicronemia familiar debida a deficiencia de lipoproteinlipasa: estudio clínico, bioquímico y genético de un caso y análisis de las mutaciones identificadas en otros 10 casos | 2000 | 1 |
About Susanna Cirera
Susanna Cirera is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 111 papers that have together received 2.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (28 papers), Cancer-related molecular mechanisms research (22 papers), Genetic and phenotypic traits in livestock (14 papers), Molecular Biology Techniques and Applications (13 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers), RNA and protein synthesis mechanisms (10 papers), Adipose Tissue and Metabolism (10 papers) and Circular RNAs in diseases (9 papers). The work is most often cited by research in Cancer Research (790 citations), Animal Science and Zoology (232 citations) and Molecular Biology (1.5k citations). Susanna Cirera has collaborated with scholars based in Denmark, Spain and United Kingdom. Frequent co-authors include Merete Fredholm, Claus B. Jørgensen, Peter Kamp Busk, Ann-Britt Nygård, Ingrid Balcells, Montserrat Aguadé, Agnieszka Podolska, Jan Gorodkin, Peter Karlskov‐Mortensen and Thomas Litman. Their work appears in journals such as PLoS ONE, Scientific Reports and 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.