Diana Ascencio

522 total citations
10 papers, 316 citations indexed

About

Diana Ascencio is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Diana Ascencio has authored 10 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Cell Biology. Recurrent topics in Diana Ascencio's work include Fungal and yeast genetics research (7 papers), Bioinformatics and Genomic Networks (4 papers) and RNA and protein synthesis mechanisms (3 papers). Diana Ascencio is often cited by papers focused on Fungal and yeast genetics research (7 papers), Bioinformatics and Genomic Networks (4 papers) and RNA and protein synthesis mechanisms (3 papers). Diana Ascencio collaborates with scholars based in Mexico, Canada and Japan. Diana Ascencio's co-authors include Alexander DeLuna, Christian R. Landry, Guillaume Diss, Adriana Espinosa‐Cantú, Francisco Barona‐Gómez, Isabelle Gagnon‐Arsenault, Anne‐Marie Dion‐Côté, Hélène Vignaud, Caroline Berger and Alexandre K. Dubé and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Diana Ascencio

9 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diana Ascencio Mexico 8 264 73 58 31 19 10 316
Adriana Espinosa‐Cantú Mexico 5 218 0.8× 59 0.8× 52 0.9× 19 0.6× 50 2.6× 8 262
Kent Vander Velden United States 3 264 1.0× 125 1.7× 56 1.0× 22 0.7× 11 0.6× 5 381
Cintia F. Hongay United States 6 502 1.9× 63 0.9× 25 0.4× 33 1.1× 8 0.4× 8 551
P. Manivasakam United States 9 354 1.3× 66 0.9× 59 1.0× 34 1.1× 9 0.5× 12 392
Xingyu She United States 5 263 1.0× 54 0.7× 31 0.5× 26 0.8× 4 0.2× 6 417
Marian F. Laughery United States 11 487 1.8× 61 0.8× 67 1.2× 32 1.0× 8 0.4× 14 524
Yehui Xiong China 11 261 1.0× 219 3.0× 24 0.4× 29 0.9× 22 1.2× 14 391
Weibing Fan China 6 259 1.0× 71 1.0× 51 0.9× 41 1.3× 9 0.5× 11 313
Luke Hakes United Kingdom 5 362 1.4× 70 1.0× 89 1.5× 18 0.6× 7 0.4× 6 411
Yangshin Park United States 11 194 0.7× 80 1.1× 27 0.5× 22 0.7× 6 0.3× 16 305

Countries citing papers authored by Diana Ascencio

Since Specialization
Citations

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

Fields of papers citing papers by Diana Ascencio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Ascencio

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

All Works

10 of 10 papers shown
1.
Makanae, Koji, Philippe C Després, Hitoshi Matsuo, et al.. (2022). Barcode fusion genetics-protein-fragment complementation assay (BFG-PCA): tools and resources that expand the potential for binary protein interaction discovery. Nucleic Acids Research. 50(9). e54–e54. 7 indexed citations
2.
Ascencio, Diana, et al.. (2022). Synthetic negative genome screen of the GPN-loop GTPase NPA3 in Saccharomyces cerevisiae. Current Genetics. 68(3-4). 343–360. 3 indexed citations
3.
Ascencio, Diana, Guillaume Diss, Isabelle Gagnon‐Arsenault, et al.. (2021). Expression attenuation as a mechanism of robustness against gene duplication. Proceedings of the National Academy of Sciences. 118(6). 24 indexed citations
4.
Dubé, Alexandre K., Isabelle Gagnon‐Arsenault, Diana Ascencio, et al.. (2020). The Role of Structural Pleiotropy and Regulatory Evolution in the Retention of Heteromers of Paralogs. Biophysical Journal. 118(3). 23a–23a.
5.
Cisneros, Angel F., Alexandre K. Dubé, Isabelle Gagnon‐Arsenault, et al.. (2019). The role of structural pleiotropy and regulatory evolution in the retention of heteromers of paralogs. eLife. 8. 26 indexed citations
6.
Espinosa‐Cantú, Adriana, Diana Ascencio, Jiewei Xu, et al.. (2017). Protein Moonlighting Revealed by Noncatalytic Phenotypes of Yeast Enzymes. Genetics. 208(1). 419–431. 22 indexed citations
7.
Diss, Guillaume, Isabelle Gagnon‐Arsenault, Anne‐Marie Dion‐Côté, et al.. (2017). Gene duplication can impart fragility, not robustness, in the yeast protein interaction network. Science. 355(6325). 630–634. 77 indexed citations
8.
Ascencio, Diana, et al.. (2017). Increased rates of protein evolution and asymmetric deceleration after the whole-genome duplication in yeasts. BMC Evolutionary Biology. 17(1). 40–40. 11 indexed citations
9.
Espinosa‐Cantú, Adriana, Diana Ascencio, Francisco Barona‐Gómez, & Alexander DeLuna. (2015). Gene duplication and the evolution of moonlighting proteins. Frontiers in Genetics. 6. 227–227. 72 indexed citations
10.
Diss, Guillaume, Diana Ascencio, Alexander DeLuna, & Christian R. Landry. (2013). Molecular mechanisms of paralogous compensation and the robustness of cellular networks. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 322(7). 488–499. 74 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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