Valeria Merico

63 total papers · 1.3k total citations
47 papers, 1.0k citations indexed

About

Valeria Merico is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Valeria Merico has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 31 papers in Public Health, Environmental and Occupational Health and 16 papers in Reproductive Medicine. Recurrent topics in Valeria Merico's work include Reproductive Biology and Fertility (31 papers), Pluripotent Stem Cells Research (18 papers) and Sperm and Testicular Function (15 papers). Valeria Merico is often cited by papers focused on Reproductive Biology and Fertility (31 papers), Pluripotent Stem Cells Research (18 papers) and Sperm and Testicular Function (15 papers). Valeria Merico collaborates with scholars based in Italy, Germany and United States. Valeria Merico's co-authors include Silvia Garagna, Maurizio Zuccotti, Carlo Alberto Redi, Maurizio Zuccotti, Sandra Cecconi, CarloAlberto Redi, Riccardo Bellazzi, Lucia Sacchi, Manuela Monti and James Adjaye and has published in prestigious journals such as Human Reproduction, Human Reproduction Update and Biology of Reproduction.

In The Last Decade

Valeria Merico

47 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Valeria Merico 566 537 278 208 134 47 1.0k
Yongliang Shang 649 1.1× 266 0.5× 374 1.3× 262 1.3× 103 0.8× 31 1.2k
Hannah Peters 421 0.7× 641 1.2× 346 1.2× 226 1.1× 51 0.4× 37 1.1k
Zhisheng Zhong 608 1.1× 627 1.2× 289 1.0× 180 0.9× 43 0.3× 45 1.1k
M. L. Meistrich 523 0.9× 458 0.9× 596 2.1× 294 1.4× 89 0.7× 33 1.2k
Wei Zheng 577 1.0× 591 1.1× 213 0.8× 297 1.4× 136 1.0× 59 1.2k
Georgiana Jagiello 370 0.7× 346 0.6× 205 0.7× 323 1.6× 211 1.6× 80 968
G. P. M. Moore 482 0.9× 487 0.9× 214 0.8× 168 0.8× 59 0.4× 38 1.0k
Ahmed Z. Balboula 398 0.7× 438 0.8× 263 0.9× 186 0.9× 81 0.6× 57 1.1k
Takuya Wakai 694 1.2× 653 1.2× 350 1.3× 261 1.3× 93 0.7× 51 1.2k
Masashi Miyake 714 1.3× 734 1.4× 376 1.4× 234 1.1× 77 0.6× 39 1.2k

Countries citing papers authored by Valeria Merico

Since Specialization
Citations

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

Fields of papers citing papers by Valeria Merico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria Merico

This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Merico. A scholar is included among the top collaborators of Valeria Merico 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 Valeria Merico. Valeria Merico 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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