Manuel D. Díaz‐Muñoz

58 total papers · 1.8k total citations
32 papers, 1.3k citations indexed

About

Manuel D. Díaz‐Muñoz is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Manuel D. Díaz‐Muñoz has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Pharmacology. Recurrent topics in Manuel D. Díaz‐Muñoz's work include RNA Research and Splicing (13 papers), RNA modifications and cancer (11 papers) and Inflammatory mediators and NSAID effects (9 papers). Manuel D. Díaz‐Muñoz is often cited by papers focused on RNA Research and Splicing (13 papers), RNA modifications and cancer (11 papers) and Inflammatory mediators and NSAID effects (9 papers). Manuel D. Díaz‐Muñoz collaborates with scholars based in United Kingdom, Spain and France. Manuel D. Díaz‐Muñoz's co-authors include Martin Turner, Manuel Fresno, Miguel A. Íñiguez, Inés C. Osma-García, Elisa Monzón‐Casanova, Helena Ahlfors, Sarah E. Bell, Virginia Vila‐del Sol, Matthias Gaestel and Christopher Tiedje and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Communications.

In The Last Decade

Manuel D. Díaz‐Muñoz

32 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Manuel D. Díaz‐Muñoz 778 384 325 144 134 32 1.3k
Ben‐Kuen Chen 567 0.7× 263 0.7× 333 1.0× 89 0.6× 171 1.3× 43 1.1k
Marie Chabot‐Fletcher 497 0.6× 307 0.8× 200 0.6× 125 0.9× 131 1.0× 29 1.1k
Xiaoman Hong 738 0.9× 273 0.7× 487 1.5× 100 0.7× 79 0.6× 31 1.4k
Harald Dinter 590 0.8× 276 0.7× 150 0.5× 183 1.3× 233 1.7× 22 1.1k
Xin Wu 794 1.0× 232 0.6× 445 1.4× 113 0.8× 249 1.9× 44 1.5k
Raffaella Dell’Eva 749 1.0× 257 0.7× 180 0.6× 78 0.5× 262 2.0× 22 1.4k
Kaisa M. Heiskanen 734 0.9× 170 0.4× 144 0.4× 154 1.1× 144 1.1× 23 1.1k
Brian Bolognese 523 0.7× 379 1.0× 214 0.7× 94 0.7× 266 2.0× 34 1.2k
Ling Zhou 509 0.7× 273 0.7× 273 0.8× 174 1.2× 104 0.8× 56 1.3k
Sang Doo Kim 783 1.0× 406 1.1× 130 0.4× 76 0.5× 132 1.0× 41 1.2k

Countries citing papers authored by Manuel D. Díaz‐Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Manuel D. Díaz‐Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel D. Díaz‐Muñoz. 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 Manuel D. Díaz‐Muñoz. The network helps show where Manuel D. Díaz‐Muñoz may publish in the future.

Co-authorship network of co-authors of Manuel D. Díaz‐Muñoz

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel D. Díaz‐Muñoz. A scholar is included among the top collaborators of Manuel D. Díaz‐Muñoz 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 Manuel D. Díaz‐Muñoz. Manuel D. Díaz‐Muñoz 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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