Ivan Rubio‐Gayosso

53 total papers · 975 total citations
37 papers, 784 citations indexed

About

Ivan Rubio‐Gayosso is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Molecular Biology. According to data from OpenAlex, Ivan Rubio‐Gayosso has authored 37 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Physiology and 8 papers in Molecular Biology. Recurrent topics in Ivan Rubio‐Gayosso's work include Nitric Oxide and Endothelin Effects (6 papers), Hormonal and reproductive studies (6 papers) and Estrogen and related hormone effects (5 papers). Ivan Rubio‐Gayosso is often cited by papers focused on Nitric Oxide and Endothelin Effects (6 papers), Hormonal and reproductive studies (6 papers) and Estrogen and related hormone effects (5 papers). Ivan Rubio‐Gayosso collaborates with scholars based in Mexico, United States and Panama. Ivan Rubio‐Gayosso's co-authors include Steven H. Platts, Brian R. Duling, Guillermo Ceballos, Israel Ramírez‐Sánchez, Francisco Villarreal, Eduardo Meaney, T Morato, Nayelli Nájera, Horacio Osorio‐Alonso and José Alfredo Sierra-Ramírez and has published in prestigious journals such as International Journal of Molecular Sciences, Biochemical Pharmacology and Life Sciences.

In The Last Decade

Ivan Rubio‐Gayosso

34 papers receiving 771 citations

Author Peers

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

Author Last Decade Papers Cites
Ivan Rubio‐Gayosso 175 174 144 108 107 37 784
Thomas Moeslinger 83 0.5× 244 1.4× 83 0.6× 98 0.9× 32 0.3× 32 883
Asko Riutta 64 0.4× 166 1.0× 189 1.3× 59 0.5× 25 0.2× 52 884
Amy C. Keller 209 1.2× 217 1.2× 151 1.0× 65 0.6× 12 0.1× 32 659
L. Kaplan 108 0.6× 153 0.9× 113 0.8× 87 0.8× 14 0.1× 26 830
Linaloe Manzano-Pech 69 0.4× 188 1.1× 157 1.1× 84 0.8× 16 0.1× 27 726
Sadık Büyükbaş 77 0.4× 151 0.9× 78 0.5× 32 0.3× 47 0.4× 46 885
Jasmina Ivanišević 71 0.4× 175 1.0× 109 0.8× 70 0.6× 19 0.2× 39 730
Kuan‐Ho Lin 63 0.4× 269 1.5× 60 0.4× 55 0.5× 29 0.3× 39 780
Xiaojuan Hu 97 0.6× 307 1.8× 81 0.6× 40 0.4× 18 0.2× 59 891
George S. Hughes 103 0.6× 109 0.6× 116 0.8× 30 0.3× 21 0.2× 36 731

Countries citing papers authored by Ivan Rubio‐Gayosso

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Rubio‐Gayosso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Rubio‐Gayosso. 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 Ivan Rubio‐Gayosso. The network helps show where Ivan Rubio‐Gayosso may publish in the future.

Co-authorship network of co-authors of Ivan Rubio‐Gayosso

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Rubio‐Gayosso. A scholar is included among the top collaborators of Ivan Rubio‐Gayosso 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 Ivan Rubio‐Gayosso. Ivan Rubio‐Gayosso 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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