Didac Santesmasses

1.8k total citations
17 papers, 499 citations indexed

About

Didac Santesmasses is a scholar working on Nutrition and Dietetics, Molecular Biology and Plant Science. According to data from OpenAlex, Didac Santesmasses has authored 17 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nutrition and Dietetics, 7 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Didac Santesmasses's work include Selenium in Biological Systems (12 papers), Trace Elements in Health (10 papers) and Phytase and its Applications (3 papers). Didac Santesmasses is often cited by papers focused on Selenium in Biological Systems (12 papers), Trace Elements in Health (10 papers) and Phytase and its Applications (3 papers). Didac Santesmasses collaborates with scholars based in United States, Spain and Russia. Didac Santesmasses's co-authors include Vadim N. Gladyshev, Marco Mariotti, Roderic Guigó, Sun Hee Yim, Csaba Kerepesi, П. О. Федичев, Aleksandr Zenin, Anastasia V. Shindyapina, José Pedro Castro and Maxim V. Gerashchenko and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and International Journal of Molecular Sciences.

In The Last Decade

Didac Santesmasses

17 papers receiving 492 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Didac Santesmasses United States 14 243 141 81 59 39 17 499
Juergen Erhardt Indonesia 12 338 1.4× 141 1.0× 57 0.7× 16 0.3× 13 0.3× 18 657
Nian Shi China 11 47 0.2× 157 1.1× 70 0.9× 26 0.4× 12 0.3× 29 386
S GEORGE United Kingdom 17 60 0.2× 152 1.1× 165 2.0× 45 0.8× 8 0.2× 27 774
Weiyun Chen China 17 26 0.1× 186 1.3× 51 0.6× 31 0.5× 12 0.3× 37 712
Masayoshi Tsuji Japan 14 35 0.1× 74 0.5× 47 0.6× 22 0.4× 34 0.9× 48 653
Peihong Yuan China 12 65 0.3× 148 1.0× 88 1.1× 36 0.6× 3 0.1× 16 364
S. Gabrielle Wharf United Kingdom 15 457 1.9× 67 0.5× 96 1.2× 13 0.2× 4 0.1× 24 763
H. Ghozzi Tunisia 14 97 0.4× 68 0.5× 19 0.2× 38 0.6× 4 0.1× 29 677
M Garland United States 8 358 1.5× 136 1.0× 255 3.1× 56 0.9× 4 0.1× 10 870
Felix Olima Omara Canada 11 67 0.3× 59 0.4× 78 1.0× 19 0.3× 4 0.1× 16 324

Countries citing papers authored by Didac Santesmasses

Since Specialization
Citations

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

Fields of papers citing papers by Didac Santesmasses

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Didac Santesmasses. 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 Didac Santesmasses. The network helps show where Didac Santesmasses may publish in the future.

Co-authorship network of co-authors of Didac Santesmasses

This figure shows the co-authorship network connecting the top 25 collaborators of Didac Santesmasses. A scholar is included among the top collaborators of Didac Santesmasses based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Didac Santesmasses. Didac Santesmasses is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Shindyapina, Anastasia V., Mario Ost, Didac Santesmasses, et al.. (2023). Downregulation of mitochondrial metabolism is a driver for fast skeletal muscle loss during mouse aging. Communications Biology. 6(1). 1240–1240. 7 indexed citations
2.
Santesmasses, Didac & Vadim N. Gladyshev. (2022). Selenocysteine Machinery Primarily Supports TXNRD1 and GPX4 Functions and Together They Are Functionally Linked with SCD and PRDX6. Biomolecules. 12(8). 1049–1049. 14 indexed citations
3.
Tsuji, Petra A., Didac Santesmasses, Byeong J. Lee, Vadim N. Gladyshev, & Dolph L. Hatfield. (2021). Historical Roles of Selenium and Selenoproteins in Health and Development: The Good, the Bad and the Ugly. International Journal of Molecular Sciences. 23(1). 5–5. 34 indexed citations
4.
Santesmasses, Didac & Vadim N. Gladyshev. (2021). Pathogenic Variants in Selenoproteins and Selenocysteine Biosynthesis Machinery. International Journal of Molecular Sciences. 22(21). 11593–11593. 13 indexed citations
5.
Santesmasses, Didac, et al.. (2021). COVID-19 mortality rate in children is U-shaped. Aging. 13(16). 19954–19962. 16 indexed citations
6.
Santesmasses, Didac, José Pedro Castro, Aleksandr Zenin, et al.. (2020). COVID‐19 is an emergent disease of aging. Aging Cell. 19(10). e13230–e13230. 104 indexed citations
7.
Santesmasses, Didac, Marco Mariotti, & Vadim N. Gladyshev. (2020). Bioinformatics of Selenoproteins. Antioxidants and Redox Signaling. 33(7). 525–536. 46 indexed citations
8.
Shindyapina, Anastasia V., Aleksandr Zenin, Andrei E. Tarkhov, et al.. (2020). Germline burden of rare damaging variants negatively affects human healthspan and lifespan. eLife. 9. 13 indexed citations
9.
Santesmasses, Didac, Marco Mariotti, Katarzyna Bierła, et al.. (2019). Processive Recoding and Metazoan Evolution of Selenoprotein P: Up to 132 UGAs in Molluscs. Journal of Molecular Biology. 431(22). 4381–4407. 16 indexed citations
10.
Santesmasses, Didac, Marco Mariotti, & Vadim N. Gladyshev. (2019). Tolerance to Selenoprotein Loss Differs between Human and Mouse. Molecular Biology and Evolution. 37(2). 341–354. 41 indexed citations
11.
Santesmasses, Didac, Marco Mariotti, & Roderic Guigó. (2017). Selenoprofiles: A Computational Pipeline for Annotation of Selenoproteins. Methods in molecular biology. 1661. 17–28. 12 indexed citations
12.
Santesmasses, Didac, Marco Mariotti, & Roderic Guigó. (2017). Computational identification of the selenocysteine tRNA (tRNASec) in genomes. PLoS Computational Biology. 13(2). e1005383–e1005383. 47 indexed citations
13.
Mariotti, Marco, Alexei Lobanov, Bruno Manta, et al.. (2016). LokiarchaeotaMarks the Transition between the Archaeal and Eukaryotic Selenocysteine Encoding Systems. Molecular Biology and Evolution. 33(9). 2441–2453. 36 indexed citations
14.
Wu, Sen, Marco Mariotti, Didac Santesmasses, et al.. (2016). Human selenoprotein P and S variant mRNAs with different numbers of SECIS elements and inferences from mutant mice of the roles of multiple SECIS elements. Open Biology. 6(11). 160241–160241. 12 indexed citations
15.
Dias, Felipe A., Ana Caroline P. Gandara, Marta Citelli, et al.. (2015). Identification of a selenium-dependent glutathione peroxidase in the blood-sucking insect Rhodnius prolixus. Insect Biochemistry and Molecular Biology. 69. 105–114. 15 indexed citations
16.
Mariotti, Marco, Didac Santesmasses, Salvador Capella-Gutiérrez, et al.. (2015). Evolution of selenophosphate synthetases: emergence and relocation of function through independent duplications and recurrent subfunctionalization. Genome Research. 25(9). 1256–1267. 45 indexed citations
17.
Romagné, Frédéric, Didac Santesmasses, Marco Mariotti, et al.. (2013). SelenoDB 2.0: annotation of selenoprotein genes in animals and their genetic diversity in humans. Nucleic Acids Research. 42(D1). D437–D443. 28 indexed citations

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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