Daniel Osorio
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Sensory Systems top 10%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
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- Single-cell and spatial transcriptomics 12
- Gene Regulatory Network Analysis 6
- CRISPR and Genetic Engineering 2
- RNA regulation and disease 2
- Machine Learning in Bioinformatics 2
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- T-cell and B-cell Immunology 4
- Atherosclerosis and Cardiovascular Diseases 2
- Co-authors
- Paola Rondón-Villarreal (2 shared papers)Rodrigo Torres (2 shared papers)James J. Cai (15 shared papers)Yan Zhong (5 shared papers)Janneth González (4 shared papers)Erchin Serpedin (3 shared papers)George E. Barreto (3 shared papers)Xue Yu (3 shared papers)
- Journals
- The R Journal (3 papers)Bioinformatics (2 papers)Nature Computational Science (2 papers)Patterns (2 papers)Development (2 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Daniel Osorio
29 papers receiving 745 citations
Peers
Comparison fields: 5 of 106
- Microbiology 74
- Sensory Systems 40
- Molecular Biology 527
- Immunology 112
- Cancer Research 68
Countries citing papers authored by Daniel Osorio
This map shows the geographic impact of Daniel Osorio'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 Osorio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Osorio more than expected).
Fields of papers citing papers by Daniel Osorio
This network shows the impact of papers produced by Daniel Osorio. 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 Osorio. The network helps show where Daniel Osorio may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Osorio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 272 | |
| 2 | 2020 | 113 | |
| 3 | 2022 | 37 | |
| 4 | 2016 | 37 | |
| 5 | 2023 | 33 | |
| 6 | 2019 | 31 | |
| 7 | 2022 | 26 | |
| 8 | 2020 | 25 | |
| 9 | 2019 | 21 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 20 | |
| 12 | 2020 | 15 | |
| 13 | 2022 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 7 |
About Daniel Osorio
Daniel Osorio is a scholar working on Molecular Biology, Immunology, Cancer Research, Genetics and Oncology, having authored 30 papers that have together received 748 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (12 papers), Gene Regulatory Network Analysis (6 papers), T-cell and B-cell Immunology (4 papers), CRISPR and Genetic Engineering (2 papers), RNA regulation and disease (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Cancer Genomics and Diagnostics (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Microbiology (74 citations), Sensory Systems (40 citations), Molecular Biology (527 citations), Immunology (112 citations) and Cancer Research (68 citations). Daniel Osorio has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Paola Rondón-Villarreal, Rodrigo Torres, James J. Cai, Yan Zhong, Janneth González, Erchin Serpedin, George E. Barreto, Xue Yu, Jianhua Z. Huang and Yanan Tian. Their work appears in journals such as The R Journal, Bioinformatics, Nature Computational Science, Patterns and Development.
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.