Graça Soveral

4.4k citations
114 papers · 3.6k · h-index 36

Impact in

Papers in

    • Ion Transport and Channel Regulation 69
    • ATP Synthase and ATPases Research 20
    • Adipose Tissue and Metabolism 11

Graça Soveral

111 papers receiving 3.6k citations

Peers

Graça Soveral
Comparison fields: 5 of 134
  • Molecular Biology 2.0k
  • Nutrition and Dietetics 290
  • Oncology 444
  • Biochemistry 121
  • Physiology 369
Replace Brian S. Cummings with:
Brian S. Cummings United States
Giuseppina Barrera Italy
Charles R. Flynn United States
Pithi Chanvorachote Thailand
Stefania Pizzimenti Italy
Lu Yu China
Ana Čipak Gašparović Croatia
Liping Chen China
Michał Woźniak Poland
Sara Rodríguez‐Enríquez Mexico
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Citations per field
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Brian S. Cummings · 1×
Citations per year

Countries citing papers authored by Graça Soveral

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Graça Soveral Line = papers co-authored together Graça Soveral links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012264
2 2012127
3 2013121
4 2014109
5 201894
6 201687
7 201983
8 201682
9 201475
10 201372
11 201166
12 201563
13 201662
14 201261
15 201459
16 201752
17 202152
18 201651
19 202051
20 201750

About Graça Soveral

Graça Soveral is a scholar working on Molecular Biology, Physiology, Plant Science, Surgery and Nutrition and Dietetics, having authored 114 papers that have together received 3.6k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (69 papers), ATP Synthase and ATPases Research (20 papers), Adipose Tissue and Metabolism (11 papers), Pancreatic function and diabetes (9 papers), Plant Stress Responses and Tolerance (9 papers), Plant nutrient uptake and metabolism (7 papers), Lipid metabolism and biosynthesis (7 papers) and Diet, Metabolism, and Disease (6 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Nutrition and Dietetics (290 citations), Oncology (444 citations), Biochemistry (121 citations) and Physiology (369 citations). Graça Soveral has collaborated with scholars based in Portugal, Spain and United Kingdom. Frequent co-authors include Teresa F. Moura, Angela Casini, Inês V. da Silva, Ana Madeira, Maria C. Loureiro‐Dias, Ana Paula Martins, Leslie Z. Benet, Catarina Prista, José Morais and Andreia de Almeida. 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.

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