Daniel Gallego‐Perez
- Biomedical Engineering top 2%
- Molecular Biology
- Biotechnology top 2%
- Biomaterials top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Derek J. HansfordNatalia Higuita‐CastroLingqian ChangWu LuNicholas FerrellTairong KuangZhaogang YangJunfeng Shi
- Topics
- Microfluidic and Bio-sensing Technologies (16 papers)3D Printing in Biomedical Research (12 papers)Microbial Inactivation Methods (10 papers)
- Journals
- Nucleic Acids ResearchAdvanced MaterialsSHILAP Revista de lepidopterología
- Partner nations
- United StatesColombiaPortugal
In The Last Decade
Daniel Gallego‐Perez
63 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Biomedical Engineering 992
- Molecular Biology 472
- Biotechnology 202
- Biomaterials 189
- Cellular and Molecular Neuroscience 151
Countries citing papers authored by Daniel Gallego‐Perez
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 49 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 17 | |
| 7 | 29 | |
| 8 | 7 | |
| 9 | 59 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 57 | |
| 13 | 29 | |
| 14 | 6 | |
| 15 | 24 | |
| 16 | 18 | |
| 17 | 6 | |
| 18 | 43 | |
| 19 | 12 | |
| 20 | 48 |
About Daniel Gallego‐Perez
Daniel Gallego‐Perez is a scholar working on Biotechnology, Orthodontics and Biomedical Engineering, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (16 papers), 3D Printing in Biomedical Research (12 papers) and Microbial Inactivation Methods (10 papers). The work is most often cited by research in Biotechnology (202 citations), Biomedical Engineering (992 citations) and Biomaterials (189 citations). Daniel Gallego‐Perez has collaborated with scholars based in United States, Colombia and Portugal. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Advanced Materials and SHILAP Revista de lepidopterología.
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.