Emilce S. Díaz

35 total papers · 893 total citations
30 papers, 716 citations indexed

About

Emilce S. Díaz is a scholar working on Reproductive Medicine, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Emilce S. Díaz has authored 30 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Reproductive Medicine, 12 papers in Molecular Biology and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Emilce S. Díaz's work include Sperm and Testicular Function (18 papers), Reproductive Biology and Fertility (12 papers) and Ubiquitin and proteasome pathways (5 papers). Emilce S. Díaz is often cited by papers focused on Sperm and Testicular Function (18 papers), Reproductive Biology and Fertility (12 papers) and Ubiquitin and proteasome pathways (5 papers). Emilce S. Díaz collaborates with scholars based in Chile, Argentina and United States. Emilce S. Díaz's co-authors include Patricio Morales, Milene Kong, Sarah F. Leibowitz, Michael D. Chafetz, Berta Denduchis, Selva Beatriz Cigorraga, Alejandro Lomniczi, Claudio A. Mastronardi, Juan C. Elverdín and Peter Šutovský and has published in prestigious journals such as PLoS ONE, Brain Research and International Journal of Molecular Sciences.

In The Last Decade

Emilce S. Díaz

30 papers receiving 701 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emilce S. Díaz 367 279 221 130 83 30 716
Juan C. Cavicchia 441 1.2× 187 0.7× 256 1.2× 117 0.9× 40 0.5× 52 849
M. C. Richardson 214 0.6× 191 0.7× 135 0.6× 85 0.7× 73 0.9× 27 665
Winnie Shum 316 0.9× 224 0.8× 420 1.9× 75 0.6× 64 0.8× 30 860
Ayumi Hasegawa 193 0.5× 259 0.9× 379 1.7× 212 1.6× 107 1.3× 48 878
Zbigniew Tabarowski 216 0.6× 268 1.0× 156 0.7× 176 1.4× 97 1.2× 42 781
M. Vigier 351 1.0× 237 0.8× 260 1.2× 154 1.2× 56 0.7× 27 732
U. Berg 324 0.9× 441 1.6× 309 1.4× 140 1.1× 53 0.6× 36 885
Alfredo Ramírez‐Reveco 391 1.1× 341 1.2× 143 0.6× 111 0.9× 43 0.5× 42 703
Sonya M. Schuh 345 0.9× 250 0.9× 169 0.8× 68 0.5× 39 0.5× 13 719
R. T. Gladwell 285 0.8× 102 0.4× 255 1.2× 126 1.0× 52 0.6× 25 843

Countries citing papers authored by Emilce S. Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Emilce S. Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emilce S. Díaz. 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 Emilce S. Díaz. The network helps show where Emilce S. Díaz may publish in the future.

Co-authorship network of co-authors of Emilce S. Díaz

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

All Works

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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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2026