Carlos Pipaón

29 total papers · 1.2k total citations
26 papers, 993 citations indexed

About

Carlos Pipaón is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Carlos Pipaón has authored 26 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Oncology. Recurrent topics in Carlos Pipaón's work include Nuclear Receptors and Signaling (6 papers), Estrogen and related hormone effects (5 papers) and Cancer-related Molecular Pathways (5 papers). Carlos Pipaón is often cited by papers focused on Nuclear Receptors and Signaling (6 papers), Estrogen and related hormone effects (5 papers) and Cancer-related Molecular Pathways (5 papers). Carlos Pipaón collaborates with scholars based in Spain, United States and Switzerland. Carlos Pipaón's co-authors include José L. Fernández-Luna, Olga Gutiérrez, Ana Pérez‐Castillo, Ana Fontalba, Naohiro Inohara, Gabriel Núñez, Yasunori Ogura, Felipe Prósper, Ángel Santos and Sophia Y. Tsai and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Carlos Pipaón

24 papers receiving 977 citations

Author Peers

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

Author Last Decade Papers Cites
Carlos Pipaón 484 362 262 112 106 26 993
I. Ishida 385 0.8× 552 1.5× 153 0.6× 152 1.4× 111 1.0× 37 1.2k
Tessa ten Hove 292 0.6× 702 1.9× 175 0.7× 146 1.3× 100 0.9× 20 1.1k
Xinsheng Zhu 654 1.4× 490 1.4× 90 0.3× 97 0.9× 76 0.7× 28 1.2k
Neil K. Rushmere 342 0.7× 631 1.7× 307 1.2× 70 0.6× 145 1.4× 29 1.2k
Roberto Salvi 440 0.9× 237 0.7× 119 0.5× 146 1.3× 144 1.4× 36 1.2k
Matteo Piazza 500 1.0× 354 1.0× 163 0.6× 163 1.5× 81 0.8× 22 1.1k
Stephen Demczuk 410 0.8× 393 1.1× 139 0.5× 170 1.5× 59 0.6× 16 1.2k
Tzulip Phang 419 0.9× 143 0.4× 282 1.1× 81 0.7× 58 0.5× 21 1.0k
Anne Cornet 268 0.6× 237 0.7× 402 1.5× 71 0.6× 202 1.9× 39 1.2k
Philippe Ancian 619 1.3× 256 0.7× 234 0.9× 98 0.9× 86 0.8× 26 1.1k

Countries citing papers authored by Carlos Pipaón

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Pipaón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Pipaón

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