Sofia Temudo Duarte

817 citations
25 papers · 627 · h-index 16

Impact in

Papers in

Sofia Temudo Duarte

25 papers receiving 616 citations

Peers

Sofia Temudo Duarte
Comparison fields: 5 of 68
  • Cellular and Molecular Neuroscience 184
  • Clinical Biochemistry 64
  • Developmental Neuroscience 37
  • Physiology 30
  • Genetics 149
Replace Magdalena Nawara with:
Magdalena Nawara Poland
Nadia Bahi France
Helmuth A. Sánchez Chile
M. Natalia Zanetti United Kingdom
Michael J. Gertner United States
Braxton A. Norwood Germany
Margaret E. Maes United States
Tania Djémié Belgium
Rasesh B. Joshi United States
Marie‐Odile Revel France
Sofia Temudo Duarte relative to Magdalena Nawara Poland Magdalena Nawara's profile →
Citations per field
00.5×2×2.6×
Magdalena Nawara · 1×
Citations per year

Countries citing papers authored by Sofia Temudo Duarte

Since Specialization
Citations

This map shows the geographic impact of Sofia Temudo Duarte'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 Sofia Temudo Duarte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Temudo Duarte more than expected).

Fields of papers citing papers by Sofia Temudo Duarte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofia Temudo Duarte. 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 Sofia Temudo Duarte. The network helps show where Sofia Temudo Duarte may publish in the future.

Co-authors

The 25 scholars most cited alongside Sofia Temudo Duarte, 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 Sofia Temudo Duarte Line = papers co-authored together Sofia Temudo Duarte links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201374
2 202070
3 201954
4 200842
5 201742
6 201440
7 201134
8 202034
9 201433
10 201831
11 201525
12 201823
13 200721
14 201420
15 201416
16 202316
17 202015
18 20208
19 20117
20 20186

About Sofia Temudo Duarte

Sofia Temudo Duarte is a scholar working on Genetics, Cellular and Molecular Neuroscience, Clinical Biochemistry, Physiology and Endocrinology, having authored 25 papers that have together received 627 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (8 papers), Metabolism and Genetic Disorders (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Plant and Fungal Interactions Research (2 papers), Pluripotent Stem Cells Research (2 papers), Prenatal Screening and Diagnostics (2 papers), Mitochondrial Function and Pathology (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (184 citations), Clinical Biochemistry (64 citations), Developmental Neuroscience (37 citations), Physiology (30 citations) and Genetics (149 citations). Sofia Temudo Duarte has collaborated with scholars based in Portugal, Spain and United Kingdom. Frequent co-authors include Ángeles García‐Cazorla, Rafael Artuch, Ana Maria Sebastião, Aída Ormazábal, Mercédes Pineda, Rita Maria Lourenço Costa, Francesc Sanmartí, Carmen Santos, Judith Armstrong and C. Ortez. Their work appears in journals such as Journal of Inherited Metabolic Disease, The American Journal of Human Genetics, Human Molecular Genetics, Neuromuscular Disorders and Stem Cell Research.

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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