Daniel Hidalgo
Impact in
- Hematology top 5%
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
Papers in
- Physiology 10
- Erythrocyte Function and Pathophysiology 10
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- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 2
- Melanoma and MAPK Pathways 2
- Co-authors
- Merav Socolovsky (13 shared papers)Miroslav Koulnis (5 shared papers)Ermelinda Porpiglia (5 shared papers)Yung Hwang (7 shared papers)Ramona Pop (5 shared papers)Allon M. Klein (1 shared paper)Rapolas Žilionis (1 shared paper)Betsabeh Khoramian Tusi (1 shared paper)
- Journals
- Blood (3 papers)Cancer Research (2 papers)Journal of Visualized Experiments (2 papers)Nature Communications (2 papers)Science Advances (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Daniel Hidalgo
20 papers receiving 727 citations
Peers
Comparison fields: 5 of 88
- Hematology 154
- Genetics 139
- Physiology 231
- Immunology 144
- Molecular Biology 399
Countries citing papers authored by Daniel Hidalgo
This map shows the geographic impact of Daniel Hidalgo'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 Hidalgo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hidalgo more than expected).
Fields of papers citing papers by Daniel Hidalgo
This network shows the impact of papers produced by Daniel Hidalgo. 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 Hidalgo. The network helps show where Daniel Hidalgo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Hidalgo, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 253 | |
| 2 | 2011 | 110 | |
| 3 | 2020 | 82 | |
| 4 | 2017 | 42 | |
| 5 | 2011 | 39 | |
| 6 | 2011 | 38 | |
| 7 | 2014 | 35 | |
| 8 | 2012 | 35 | |
| 9 | 2021 | 32 | |
| 10 | 2018 | 20 | |
| 11 | 2020 | 11 | |
| 12 | 2022 | 8 | |
| 13 | 2016 | 5 | |
| 14 | 2017 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2017 | 1 |
About Daniel Hidalgo
Daniel Hidalgo is a scholar working on Physiology, Molecular Biology, Cell Biology, Plant Science and Oncology, having authored 21 papers that have together received 731 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (10 papers), Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Immune Cell Function and Interaction (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Epigenetics and DNA Methylation (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Hematology (154 citations), Genetics (139 citations), Physiology (231 citations), Immunology (144 citations) and Molecular Biology (399 citations). Daniel Hidalgo has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Merav Socolovsky, Miroslav Koulnis, Ermelinda Porpiglia, Yung Hwang, Ramona Pop, Allon M. Klein, Rapolas Žilionis, Betsabeh Khoramian Tusi, Jun R. Huh and Samuel L. Wolock. Their work appears in journals such as Blood, Cancer Research, Journal of Visualized Experiments, Nature Communications and Science Advances.
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.