Jesus Paez‐Mayorga

22 total papers · 712 total citations
11 papers, 311 citations indexed

About

Jesus Paez‐Mayorga is a scholar working on Surgery, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Jesus Paez‐Mayorga has authored 11 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Biomedical Engineering. Recurrent topics in Jesus Paez‐Mayorga's work include Tissue Engineering and Regenerative Medicine (6 papers), RNA Interference and Gene Delivery (2 papers) and 3D Printing in Biomedical Research (2 papers). Jesus Paez‐Mayorga is often cited by papers focused on Tissue Engineering and Regenerative Medicine (6 papers), RNA Interference and Gene Delivery (2 papers) and 3D Printing in Biomedical Research (2 papers). Jesus Paez‐Mayorga collaborates with scholars based in United States, Mexico and Italy. Jesus Paez‐Mayorga's co-authors include Alessandro Grattoni, Corrine Ying Xuan Chua, Joan E. Nichols, Guillermo U. Ruiz‐Esparza, Nicola Di Trani, Antons Sizovs, Xichi Wang, Roberto Parra‐Saldívar, Hsuan‐Chen Liu and Gustavo Hernández‐Vargas and has published in prestigious journals such as Biomaterials, Journal of Controlled Release and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Jesus Paez‐Mayorga

11 papers receiving 307 citations

Author Peers

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

Author Last Decade Papers Cites
Jesus Paez‐Mayorga 109 90 80 55 42 11 311
Susanne Melzer 54 0.5× 121 1.3× 113 1.4× 56 1.0× 28 0.7× 17 361
Emily B. Lurier 106 1.0× 66 0.7× 78 1.0× 89 1.6× 23 0.5× 10 338
Algirdas Ziogas 58 0.5× 34 0.4× 221 2.8× 28 0.5× 71 1.7× 12 361
Deborah Studer 67 0.6× 44 0.5× 147 1.8× 40 0.7× 21 0.5× 11 354
Erica Budina 101 0.9× 96 1.1× 109 1.4× 90 1.6× 68 1.6× 13 363
Meredith A. Redd 75 0.7× 105 1.2× 78 1.0× 53 1.0× 17 0.4× 14 227
Xiaochen Ren 70 0.6× 91 1.0× 79 1.0× 76 1.4× 66 1.6× 8 348
Priyanka Garg 40 0.4× 57 0.6× 101 1.3× 16 0.3× 94 2.2× 10 289
A Ingber 26 0.2× 32 0.4× 46 0.6× 49 0.9× 68 1.6× 15 330
Hong-Yu Sun 163 1.5× 53 0.6× 131 1.6× 51 0.9× 41 1.0× 20 325

Countries citing papers authored by Jesus Paez‐Mayorga

Since Specialization
Citations

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

Fields of papers citing papers by Jesus Paez‐Mayorga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesus Paez‐Mayorga. 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 Jesus Paez‐Mayorga. The network helps show where Jesus Paez‐Mayorga may publish in the future.

Co-authorship network of co-authors of Jesus Paez‐Mayorga

This figure shows the co-authorship network connecting the top 25 collaborators of Jesus Paez‐Mayorga. A scholar is included among the top collaborators of Jesus Paez‐Mayorga 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 Jesus Paez‐Mayorga. Jesus Paez‐Mayorga 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