Diana M. Muñoz

58 total papers · 960 total citations
12 papers, 298 citations indexed

About

Diana M. Muñoz is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Diana M. Muñoz has authored 12 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Oncology. Recurrent topics in Diana M. Muñoz's work include Glioma Diagnosis and Treatment (7 papers), MicroRNA in disease regulation (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Diana M. Muñoz is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), MicroRNA in disease regulation (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Diana M. Muñoz collaborates with scholars based in Canada, United Kingdom and United States. Diana M. Muñoz's co-authors include Abhijit Guha, Sameer Agnihotri, Amparo Wolf, Aaron S. Gajadhar, Cynthia Hawkins, Elena Bogdanovic, Kristin Schram, Farah S. L. Thong, Gary Sweeney and Santosh Kesari and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Diana M. Muñoz

12 papers receiving 293 citations

Author Peers

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

Author Last Decade Papers Cites
Diana M. Muñoz 171 123 88 55 33 12 298
Derya Aslan 181 1.1× 54 0.4× 59 0.7× 56 1.0× 20 0.6× 13 352
Magne Skårn 217 1.3× 151 1.2× 37 0.4× 49 0.9× 31 0.9× 11 351
Kelsey C. Bertrand 213 1.2× 93 0.8× 85 1.0× 42 0.8× 17 0.5× 21 340
Nicole Colwell 109 0.6× 90 0.7× 93 1.1× 56 1.0× 18 0.5× 8 314
Guohong Gao 166 1.0× 92 0.7× 40 0.5× 34 0.6× 32 1.0× 13 331
N Peyri 94 0.5× 74 0.6× 57 0.6× 85 1.5× 28 0.8× 15 323
Boyan Wang 179 1.0× 70 0.6× 50 0.6× 51 0.9× 46 1.4× 14 344
Jian Hu 182 1.1× 82 0.7× 41 0.5× 51 0.9× 18 0.5× 11 270
Norichika Hashimoto 126 0.7× 49 0.4× 106 1.2× 25 0.5× 52 1.6× 22 326
Haolang Ming 175 1.0× 107 0.9× 73 0.8× 65 1.2× 28 0.8× 18 319

Countries citing papers authored by Diana M. Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Diana M. Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana M. Muñoz

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