Daniela Hernandez
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
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- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
Papers in
- Hematology 10
- Acute Myeloid Leukemia Research 9
- Chronic Myeloid Leukemia Treatments 2
- Hematopoietic Stem Cell Transplantation 2
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- Histone Deacetylase Inhibitors Research 2
- Co-authors
- Chiara Romagnani (4 shared papers)Mark J. Levis (6 shared papers)Christina Stehle (2 shared papers)Gabriel Ghiaur (6 shared papers)Richard J. Jones (6 shared papers)Meng Su (3 shared papers)Trivikram Rajkhowa (3 shared papers)Yu‐Ting Chang (3 shared papers)
- Journals
- Blood (3 papers)Haematologica (2 papers)Immunity (2 papers)American Journal of Veterinary Research (1 paper)Bone Marrow Transplantation (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Daniela Hernandez
16 papers receiving 469 citations
Peers
Comparison fields: 5 of 50
- Hematology 204
- Immunology 199
- Genetics 49
- Surgery 111
- Molecular Biology 129
Countries citing papers authored by Daniela Hernandez
This map shows the geographic impact of Daniela Hernandez'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 Daniela Hernandez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Hernandez more than expected).
Fields of papers citing papers by Daniela Hernandez
This network shows the impact of papers produced by Daniela Hernandez. 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 Daniela Hernandez. The network helps show where Daniela Hernandez may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Hernandez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 111 | |
| 2 | 2020 | 105 | |
| 3 | 2019 | 59 | |
| 4 | 2021 | 40 | |
| 5 | 2018 | 38 | |
| 6 | 2016 | 37 | |
| 7 | 2021 | 24 | |
| 8 | 2019 | 14 | |
| 9 | 2022 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 7 | |
| 12 | 2016 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2016 | 3 | |
| 16 | 2015 | 1 |
About Daniela Hernandez
Daniela Hernandez is a scholar working on Hematology, Molecular Biology, Immunology, Surgery and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 470 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), IL-33, ST2, and ILC Pathways (5 papers), Eosinophilic Esophagitis (4 papers), Immune Cell Function and Interaction (4 papers), Chronic Myeloid Leukemia Treatments (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Hematology (204 citations), Immunology (199 citations), Genetics (49 citations), Surgery (111 citations) and Molecular Biology (129 citations). Daniela Hernandez has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Chiara Romagnani, Mark J. Levis, Christina Stehle, Gabriel Ghiaur, Richard J. Jones, Meng Su, Trivikram Rajkhowa, Yu‐Ting Chang, Richard T. Maziarz and Hugo F. Fernández. Their work appears in journals such as Blood, Haematologica, Immunity, American Journal of Veterinary Research and Bone Marrow Transplantation.
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.