David Alvarez‐Ponce

2.4k total citations
46 papers, 860 citations indexed

About

David Alvarez‐Ponce is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, David Alvarez‐Ponce has authored 46 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 16 papers in Genetics and 7 papers in Ecology. Recurrent topics in David Alvarez‐Ponce's work include Genomics and Phylogenetic Studies (13 papers), Bioinformatics and Genomic Networks (13 papers) and Evolution and Genetic Dynamics (10 papers). David Alvarez‐Ponce is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Bioinformatics and Genomic Networks (13 papers) and Evolution and Genetic Dynamics (10 papers). David Alvarez‐Ponce collaborates with scholars based in United States, Spain and Ireland. David Alvarez‐Ponce's co-authors include Mario A. Fares, Felix Feyertag, Julio Rozas, Montserrat Aguadé, James O. McInerney, Patricia Berninsone, Beatriz Sabater‐Muñoz, Asmita Kulkarni, Sandip Chakraborty and José Aguilar-Rodríguez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

David Alvarez‐Ponce

45 papers receiving 851 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Alvarez‐Ponce United States 17 601 226 114 99 66 46 860
Wendy S W Wong United States 6 556 0.9× 271 1.2× 75 0.7× 160 1.6× 56 0.8× 9 868
Marc P. Hoeppner Germany 18 648 1.1× 335 1.5× 197 1.7× 125 1.3× 118 1.8× 30 1.2k
Bartłomiej Tomiczek Poland 10 489 0.8× 108 0.5× 148 1.3× 112 1.1× 31 0.5× 19 677
Maxwell Sanderford United States 11 540 0.9× 281 1.2× 175 1.5× 243 2.5× 49 0.7× 20 1.1k
Hakeem Almabrazi United States 7 328 0.5× 85 0.4× 120 1.1× 84 0.8× 79 1.2× 9 666
Yunkun Dang China 14 1.1k 1.7× 176 0.8× 129 1.1× 257 2.6× 55 0.8× 25 1.3k
Sònia Casillas Spain 13 342 0.6× 363 1.6× 60 0.5× 136 1.4× 44 0.7× 28 664
Paul J. Johnson United States 14 429 0.7× 259 1.1× 87 0.8× 45 0.5× 94 1.4× 24 977
Tsukasa Nakamura Japan 7 435 0.7× 137 0.6× 130 1.1× 169 1.7× 38 0.6× 18 839
Mark J. J. B. Sibbald Netherlands 13 720 1.2× 270 1.2× 180 1.6× 101 1.0× 62 0.9× 17 1.1k

Countries citing papers authored by David Alvarez‐Ponce

Since Specialization
Citations

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

Fields of papers citing papers by David Alvarez‐Ponce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Alvarez‐Ponce. 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 David Alvarez‐Ponce. The network helps show where David Alvarez‐Ponce may publish in the future.

Co-authorship network of co-authors of David Alvarez‐Ponce

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

All Works

20 of 20 papers shown
1.
Alvarez‐Ponce, David, et al.. (2025). Do Manuscripts by Female Evolutionary Biologists Spend Longer Under Review?. Molecular Biology and Evolution. 42(3).
3.
Ritchie, Andrew M., et al.. (2023). Highly Abundant Proteins Are Highly Thermostable. Genome Biology and Evolution. 15(7). 1 indexed citations
4.
Tracy, C. Richard, et al.. (2023). Assessing spatial distribution, genetic variants, and virulence of pathogen Mycoplasma agassizii in threatened Mojave desert tortoises. Ecology and Evolution. 13(6). e10173–e10173. 1 indexed citations
5.
Feyertag, Felix, et al.. (2022). The Codon Statistics Database: A Database of Codon Usage Bias. Molecular Biology and Evolution. 39(8). 23 indexed citations
6.
Roddy, Adam B., David Alvarez‐Ponce, & Scott William Roy. (2021). Mammals with Small Populations Do Not Exhibit Larger Genomes. Molecular Biology and Evolution. 38(9). 3737–3741. 12 indexed citations
7.
Layman, Thomas, Devika Singh, Dorothée Huchon, et al.. (2020). Myxosporea (Myxozoa, Cnidaria) Lack DNA Cytosine Methylation. Molecular Biology and Evolution. 38(2). 393–404. 16 indexed citations
8.
Alvarez‐Ponce, David. (2020). Richard Dickerson, Molecular Clocks, and Rates of Protein Evolution. Journal of Molecular Evolution. 89(3). 122–126. 7 indexed citations
9.
Alvarez‐Ponce, David, José Aguilar-Rodríguez, & Mario A. Fares. (2019). Molecular Chaperones Accelerate the Evolution of Their Protein Clients in Yeast. Genome Biology and Evolution. 11(8). 2360–2375. 22 indexed citations
10.
Alvarez‐Ponce, David, Mario X. Ruiz‐González, Francisco Vera‐Sirera, et al.. (2018). Arabidopsis Heat Stress-Induced Proteins Are Enriched in Electrostatically Charged Amino Acids and Intrinsically Disordered Regions. International Journal of Molecular Sciences. 19(8). 2276–2276. 9 indexed citations
11.
Alvarez‐Ponce, David, et al.. (2018). Molecular evolution of DNMT1 in vertebrates: Duplications in marsupials followed by positive selection. PLoS ONE. 13(4). e0195162–e0195162. 15 indexed citations
12.
Alvarez‐Ponce, David, et al.. (2018). High quality draft genome sequences of Mycoplasma agassizii strains PS6T and 723 isolated from Gopherus tortoises with upper respiratory tract disease. Standards in Genomic Sciences. 13(1). 12–12. 4 indexed citations
13.
Tillett, Richard, et al.. (2018). High quality draft genome sequence of Mycoplasma testudineum strain BH29T, isolated from the respiratory tract of a desert tortoise. Standards in Genomic Sciences. 13(1). 9–9. 3 indexed citations
14.
Feyertag, Felix & David Alvarez‐Ponce. (2017). Disulfide Bonds Enable Accelerated Protein Evolution. Molecular Biology and Evolution. 34(8). 1833–1837. 22 indexed citations
15.
Feyertag, Felix, et al.. (2017). Intrinsic protein disorder reduces small-scale gene duplicability. DNA Research. 24(4). 435–444. 9 indexed citations
16.
Alvarez‐Ponce, David & Mario A. Fares. (2012). Evolutionary Rate and Duplicability in the Arabidopsis thaliana Protein–Protein Interaction Network. Genome Biology and Evolution. 4(12). 1263–1274. 42 indexed citations
17.
Doherty, Aoife, David Alvarez‐Ponce, & James O. McInerney. (2012). Increased Genome Sampling Reveals a Dynamic Relationship between Gene Duplicability and the Structure of the Primate Protein–Protein Interaction Network. Molecular Biology and Evolution. 29(11). 3563–3573. 5 indexed citations
18.
Luisi, Pierre, David Alvarez‐Ponce, Giovanni Marco Dall’Olio, et al.. (2011). Network-Level and Population Genetics Analysis of the Insulin/TOR Signal Transduction Pathway Across Human Populations. Molecular Biology and Evolution. 29(5). 1379–1392. 22 indexed citations
19.
Alvarez‐Ponce, David, Sara Guirao‐Rico, Dorcas J. Orengo, et al.. (2011). Molecular Population Genetics of the Insulin/TOR Signal Transduction Pathway: A Network-Level Analysis in Drosophila melanogaster. Molecular Biology and Evolution. 29(1). 123–132. 16 indexed citations
20.
Alvarez‐Ponce, David, Montserrat Aguadé, & Julio Rozas. (2009). Network-level molecular evolutionary analysis of the insulin/TOR signal transduction pathway across 12Drosophilagenomes. Genome Research. 19(2). 234–242. 64 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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