Daniel Poveda-Huertes

435 total citations
10 papers, 220 citations indexed

About

Daniel Poveda-Huertes is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Daniel Poveda-Huertes has authored 10 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Plant Science. Recurrent topics in Daniel Poveda-Huertes's work include Mitochondrial Function and Pathology (4 papers), Fungal and yeast genetics research (4 papers) and ATP Synthase and ATPases Research (2 papers). Daniel Poveda-Huertes is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Fungal and yeast genetics research (4 papers) and ATP Synthase and ATPases Research (2 papers). Daniel Poveda-Huertes collaborates with scholars based in Spain, Germany and Austria. Daniel Poveda-Huertes's co-authors include F.‐Nora Vögtle, Patrycja Mulica, Amparo Pascual‐Ahuir, Markus Proft, Lukas Habernig, Aslı Aras Taşkin, Sabrina Büttner, Chris Meisinger, Mariya Licheva and Claudine Kraft and has published in prestigious journals such as Molecular Cell, Molecular and Cellular Biology and Current Biology.

In The Last Decade

Daniel Poveda-Huertes

10 papers receiving 218 citations

Peers

Daniel Poveda-Huertes

MB

CB

EPIDE

CB

PHYSI

Cierra N. Sing United States

Tea Tuomela Finland

Kia K. Kemppainen Finland

Niels Denkert Germany

Maciej Lirski Poland

Rebecca George Australia

Leonardo Peraza‐Reyes Mexico

Anna‐Karin Berglund Sweden

Athanasios Litsios Netherlands

Silvia Francisci Italy

Cierra N. Sing United States

Daniel Poveda-Huertes

243 ×1.2

MB

56 ×1.3

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34 ×1.1

EPIDE

6 ×0.3

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16 ×0.9

PHYSI

Citations per year, relative to Daniel Poveda-Huertes Daniel Poveda-Huertes (= 1×) peers Cierra N. Sing

Countries citing papers authored by Daniel Poveda-Huertes

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Poveda-Huertes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Poveda-Huertes. 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 Daniel Poveda-Huertes. The network helps show where Daniel Poveda-Huertes may publish in the future.

Co-authorship network of co-authors of Daniel Poveda-Huertes

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Poveda-Huertes. A scholar is included among the top collaborators of Daniel Poveda-Huertes 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 Daniel Poveda-Huertes. Daniel Poveda-Huertes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Poveda-Huertes, Daniel, et al.. (2023). Novel transformation strategies improve efficiency up to 10-fold in stramenopile algae. Algal Research. 74. 103165–103165. 8 indexed citations

2.

Jinkerson, Robert E., Daniel Poveda-Huertes, Rocio Ochoa‐Fernandez, et al.. (2023). Biosynthesis of chlorophyll c in a dinoflagellate and heterologous production in planta. Current Biology. 34(3). 594–605.e4. 9 indexed citations

3.

Poveda-Huertes, Daniel, et al.. (2021). Increased mitochondrial protein import and cardiolipin remodelling upon early mtUPR. PLoS Genetics. 17(7). e1009664–e1009664. 24 indexed citations

4.

Poveda-Huertes, Daniel, Stanka Matic, Lukas Habernig, et al.. (2019). An Early mtUPR: Redistribution of the Nuclear Transcription Factor Rox1 to Mitochondria Protects against Intramitochondrial Proteotoxic Aggregates. Molecular Cell. 77(1). 180–188.e9. 51 indexed citations

5.

Pascual‐Ahuir, Amparo, et al.. (2019). Dose dependent gene expression is dynamically modulated by the history, physiology and age of yeast cells. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1862(4). 457–471. 9 indexed citations

6.

Käser, Sandro, Bernd Schimanski, Daniel Poveda-Huertes, et al.. (2017). Biogenesis of the mitochondrial DNA inheritance machinery in the mitochondrial outer membrane of Trypanosoma brucei. PLoS Pathogens. 13(12). e1006808–e1006808. 19 indexed citations

7.

Poveda-Huertes, Daniel, Patrycja Mulica, & F.‐Nora Vögtle. (2016). The versatility of the mitochondrial presequence processing machinery: cleavage, quality control and turnover. Cell and Tissue Research. 367(1). 73–81. 37 indexed citations

8.

Poveda-Huertes, Daniel, et al.. (2015). Different Mechanisms Confer Gradual Control and Memory at Nutrient- and Stress-Regulated Genes in Yeast. Molecular and Cellular Biology. 35(21). 3669–3683. 13 indexed citations

9.

Poveda-Huertes, Daniel, et al.. (2013). Activator and Repressor Functions of the Mot3 Transcription Factor in the Osmostress Response of Saccharomyces cerevisiae. Eukaryotic Cell. 12(5). 636–647. 25 indexed citations

10.

Poveda-Huertes, Daniel, et al.. (2013). Deciphering Dynamic Dose Responses of Natural Promoters and Single cis Elements upon Osmotic and Oxidative Stress in Yeast. Molecular and Cellular Biology. 33(11). 2228–2240. 25 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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