Daniel Gallego‐Perez

115 total papers · 2.9k total citations
65 papers, 1.6k citations indexed

About

Daniel Gallego‐Perez is a scholar working on Biomedical Engineering, Molecular Biology and Surgery. According to data from OpenAlex, Daniel Gallego‐Perez has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Biomedical Engineering, 16 papers in Molecular Biology and 11 papers in Surgery. Recurrent topics in Daniel Gallego‐Perez's work include Microfluidic and Bio-sensing Technologies (16 papers), 3D Printing in Biomedical Research (12 papers) and Microbial Inactivation Methods (10 papers). Daniel Gallego‐Perez is often cited by papers focused on Microfluidic and Bio-sensing Technologies (16 papers), 3D Printing in Biomedical Research (12 papers) and Microbial Inactivation Methods (10 papers). Daniel Gallego‐Perez collaborates with scholars based in United States, Portugal and Colombia. Daniel Gallego‐Perez's co-authors include Derek J. Hansford, Natalia Higuita‐Castro, Lingqian Chang, Wu Lu, Nicholas Ferrell, Tairong Kuang, Zhaogang Yang, Junfeng Shi, Chi‐Ling Chiang and L. James Lee and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Gallego‐Perez

63 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Gallego‐Perez 991 470 202 188 151 65 1.6k
Meng Yang 544 0.5× 745 1.6× 105 0.5× 317 1.7× 199 1.3× 59 2.1k
Laure Gibot 667 0.7× 382 0.8× 255 1.3× 373 2.0× 51 0.3× 53 1.4k
Tuhin Subhra Santra 865 0.9× 202 0.4× 132 0.7× 251 1.3× 182 1.2× 95 1.4k
Thomas Braschler 1.6k 1.6× 255 0.5× 91 0.5× 291 1.5× 93 0.6× 50 2.1k
Bo An 570 0.6× 678 1.4× 67 0.3× 926 4.9× 138 0.9× 74 2.2k
Kaiming Ye 924 0.9× 928 2.0× 45 0.2× 387 2.1× 123 0.8× 64 2.1k
Li Ren 950 1.0× 509 1.1× 26 0.1× 232 1.2× 151 1.0× 90 2.0k
Tzu‐Chen Yen 947 1.0× 692 1.5× 56 0.3× 517 2.8× 77 0.5× 50 2.1k
Janet Zoldan 725 0.7× 669 1.4× 52 0.3× 312 1.7× 95 0.6× 50 1.5k
Tessa Lühmann 617 0.6× 798 1.7× 42 0.2× 528 2.8× 198 1.3× 86 2.2k

Countries citing papers authored by Daniel Gallego‐Perez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gallego‐Perez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Gallego‐Perez. 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 Daniel Gallego‐Perez. The network helps show where Daniel Gallego‐Perez may publish in the future.

Co-authorship network of co-authors of Daniel Gallego‐Perez

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gallego‐Perez. A scholar is included among the top collaborators of Daniel Gallego‐Perez 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 Daniel Gallego‐Perez. Daniel Gallego‐Perez 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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