Daniel Hormaechea‐Agulla
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
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- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
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- Regulation of Appetite and Obesity 3
- Co-authors
- Katherine Y. King (3 shared papers)Duy T. Le (2 shared papers)Raúl M. Luque (8 shared papers)Justo P. Castaño (8 shared papers)Manuel D. Gahete (8 shared papers)Xiaochen Long (1 shared paper)Marek Kimmel (1 shared paper)Paweł Kuś (1 shared paper)
- Journals
- Cancer Letters (2 papers)The Prostate (1 paper)Experimental Hematology (1 paper)The FASEB Journal (1 paper)Cell stem cell (1 paper)
- Partner nations
- United StatesSpainPoland
In The Last Decade
Daniel Hormaechea‐Agulla
12 papers receiving 589 citations
Daniel Hormaechea‐Agulla's Hit Papers
Peers
Comparison fields: 5 of 55
- Hematology 178
- Endocrine and Autonomic Systems 78
- Genetics 90
- Endocrinology, Diabetes and Metabolism 72
- Immunology 91
Countries citing papers authored by Daniel Hormaechea‐Agulla
This map shows the geographic impact of Daniel Hormaechea‐Agulla'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 Hormaechea‐Agulla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hormaechea‐Agulla more than expected).
Fields of papers citing papers by Daniel Hormaechea‐Agulla
This network shows the impact of papers produced by Daniel Hormaechea‐Agulla. 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 Hormaechea‐Agulla. The network helps show where Daniel Hormaechea‐Agulla may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Hormaechea‐Agulla, 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 | Chronic infection drives Dnmt3a-loss-of-function clonal hematopoiesis via IFNγ signaling Hit paper breakdown → | 2021 | 225 |
| 2 | 2013 | 72 | |
| 3 | 2015 | 70 | |
| 4 | 2017 | 43 | |
| 5 | 2017 | 38 | |
| 6 | 2018 | 37 | |
| 7 | 2020 | 32 | |
| 8 | 2017 | 30 | |
| 9 | 2016 | 30 | |
| 10 | 2019 | 13 | |
| 11 | 2020 | 6 | |
| 12 | 2015 | 1 |
About Daniel Hormaechea‐Agulla
Daniel Hormaechea‐Agulla is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Hematology, Pulmonary and Respiratory Medicine and Oncology, having authored 12 papers that have together received 597 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (3 papers), Regulation of Appetite and Obesity (3 papers), Acute Myeloid Leukemia Research (2 papers), Epigenetics and DNA Methylation (2 papers), Prostate Cancer Treatment and Research (2 papers), Cancer-related Molecular Pathways (2 papers), RNA Research and Splicing (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Hematology (178 citations), Endocrine and Autonomic Systems (78 citations), Genetics (90 citations), Endocrinology, Diabetes and Metabolism (72 citations) and Immunology (91 citations). Daniel Hormaechea‐Agulla has collaborated with scholars based in United States, Spain and Poland. Frequent co-authors include Katherine Y. King, Duy T. Le, Raúl M. Luque, Justo P. Castaño, Manuel D. Gahete, Xiaochen Long, Marek Kimmel, Paweł Kuś, Bailee Kain and Katie A. Matatall. Their work appears in journals such as Cancer Letters, The Prostate, Experimental Hematology, The FASEB Journal and Cell stem cell.
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.