Daniel Pisera

59 papers and 1.1k indexed citations i.

About

Daniel Pisera is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Daniel Pisera has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Molecular Biology and 17 papers in Reproductive Medicine. Recurrent topics in Daniel Pisera’s work include Growth Hormone and Insulin-like Growth Factors (23 papers), Hypothalamic control of reproductive hormones (16 papers) and Stress Responses and Cortisol (12 papers). Daniel Pisera is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (23 papers), Hypothalamic control of reproductive hormones (16 papers) and Stress Responses and Cortisol (12 papers). Daniel Pisera collaborates with scholars based in Argentina, United States and France. Daniel Pisera's co-authors include Adriana Seilicovich, Gabriela Jaita, Jimena Ferraris, Mercedes Lasaga, Verónica Zaldivar, Marianela Candolfi, B. Duvilanski, Valéria Rettori, Beatriz H. Duvilanski and María Susana Theas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Brain Research.

In The Last Decade

Co-authorship network of co-authors of Daniel Pisera i

Fields of papers citing papers by Daniel Pisera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Pisera

Since Specialization
Citations

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

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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