Graça Soveral
Impact in
- Molecular Biology top 5%
- Ion Transport and Channel Regulation
- ATP Synthase and ATPases Research
- Ion channel regulation and function
- Nutrition and Dietetics top 5%
Papers in
-
- Ion Transport and Channel Regulation 65
- ATP Synthase and ATPases Research 20
- Physiology 17
- Adipose Tissue and Metabolism 11
- Co-authors
- Teresa F. Moura (25 shared papers)Angela Casini (21 shared papers)Inês V. da Silva (30 shared papers)Ana Madeira (14 shared papers)Maria C. Loureiro‐Dias (13 shared papers)Ana Paula Martins (14 shared papers)Catarina Prista (15 shared papers)Andreia de Almeida (9 shared papers)
In The Last Decade
Graça Soveral
111 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 2.0k
- Nutrition and Dietetics 295
- Biochemistry 122
- Oncology 459
- Physiology 389
Countries citing papers authored by Graça Soveral
This map shows the geographic impact of Graça Soveral'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 Graça Soveral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graça Soveral more than expected).
Fields of papers citing papers by Graça Soveral
This network shows the impact of papers produced by Graça Soveral. 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 Graça Soveral. The network helps show where Graça Soveral may publish in the future.
Co-authors
The 25 scholars most cited alongside Graça Soveral, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 239 | |
| 2 | 2012 | 121 | |
| 3 | 2013 | 119 | |
| 4 | 2014 | 106 | |
| 5 | 2018 | 89 | |
| 6 | 2016 | 80 | |
| 7 | 2016 | 80 | |
| 8 | 2019 | 79 | |
| 9 | 2014 | 72 | |
| 10 | 2013 | 68 | |
| 11 | 2011 | 65 | |
| 12 | 2015 | 62 | |
| 13 | 2016 | 60 | |
| 14 | 2012 | 58 | |
| 15 | 2014 | 57 | |
| 16 | 2020 | 50 | |
| 17 | 2021 | 50 | |
| 18 | 2017 | 50 | |
| 19 | 2013 | 50 | |
| 20 | 2016 | 50 |
About Graça Soveral
Graça Soveral is a scholar working on Molecular Biology, Physiology, Plant Science, Surgery and Nutrition and Dietetics, having authored 111 papers that have together received 3.4k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (65 papers), ATP Synthase and ATPases Research (20 papers), Pancreatic function and diabetes (11 papers), Adipose Tissue and Metabolism (11 papers), Plant Stress Responses and Tolerance (9 papers), Lipid metabolism and biosynthesis (8 papers), Diet, Metabolism, and Disease (8 papers) and Plant nutrient uptake and metabolism (7 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Nutrition and Dietetics (295 citations), Biochemistry (122 citations), Oncology (459 citations) and Physiology (389 citations). Graça Soveral has collaborated with scholars based in Portugal, Spain and Italy. Frequent co-authors include Teresa F. Moura, Angela Casini, Inês V. da Silva, Ana Madeira, Maria C. Loureiro‐Dias, Ana Paula Martins, Catarina Prista, Andreia de Almeida, José Morais and Leslie Z. Benet. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Biochemical and Biophysical Research Communications, Cellular and Molecular Life Sciences and The Journal of Membrane Biology.
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.