M. Ribagorda

205 total papers · 2.9k total citations
71 papers, 2.3k citations indexed

About

M. Ribagorda is a scholar working on Organic Chemistry, Materials Chemistry and Biomaterials. According to data from OpenAlex, M. Ribagorda has authored 71 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Organic Chemistry, 14 papers in Materials Chemistry and 9 papers in Biomaterials. Recurrent topics in M. Ribagorda's work include Asymmetric Synthesis and Catalysis (20 papers), Synthetic Organic Chemistry Methods (18 papers) and Synthesis and Properties of Aromatic Compounds (14 papers). M. Ribagorda is often cited by papers focused on Asymmetric Synthesis and Catalysis (20 papers), Synthetic Organic Chemistry Methods (18 papers) and Synthesis and Properties of Aromatic Compounds (14 papers). M. Ribagorda collaborates with scholars based in Spain, United States and Italy. M. Ribagorda's co-authors include M. Carmen Carreño, Estı́baliz Merino, Gary A. Molander, Antonio Urbano, Gloria Hernández‐Torres, Juan M. Cuerva, Luı́s Álvarez de Cienfuegos, Álvaro Somoza, Shorouk O. Badir and Lisa Marie Kammer and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Chemical Communications.

In The Last Decade

M. Ribagorda

66 papers receiving 2.3k citations

Author Peers

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

Author Last Decade Papers Cites
M. Ribagorda 1.7k 796 301 227 192 71 2.3k
D. Miguel 2.0k 1.1× 758 1.0× 298 1.0× 307 1.4× 323 1.7× 85 2.6k
Hidetoshi Kawai 1.9k 1.1× 1.0k 1.3× 314 1.0× 493 2.2× 109 0.6× 134 2.4k
Pablo Rivera‐Fuentes 1.2k 0.7× 600 0.8× 461 1.5× 501 2.2× 126 0.7× 57 2.1k
Ben de Lange 1.4k 0.8× 883 1.1× 371 1.2× 429 1.9× 137 0.7× 40 2.3k
Barbara Odell 1.7k 1.0× 955 1.2× 608 2.0× 563 2.5× 342 1.8× 74 2.6k
Partha Hazra 860 0.5× 803 1.0× 575 1.9× 358 1.6× 156 0.8× 81 2.2k
Takunori Harada 1.2k 0.7× 1.1k 1.4× 300 1.0× 720 3.2× 203 1.1× 95 2.1k
Hirohiko Houjou 771 0.4× 942 1.2× 257 0.9× 399 1.8× 342 1.8× 113 2.1k
Qing‐Hui Guo 1.5k 0.9× 1.1k 1.4× 222 0.7× 673 3.0× 315 1.6× 65 2.2k
Taniyuki Furuyama 1.1k 0.6× 1.1k 1.4× 221 0.7× 188 0.8× 298 1.6× 101 2.0k

Countries citing papers authored by M. Ribagorda

Since Specialization
Citations

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

Fields of papers citing papers by M. Ribagorda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ribagorda

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