Daniel Domingo‐Fernándéz
Impact in
- Health Informatics top 10%
-
- Computational Drug Discovery Methods
Papers in
-
- Bioinformatics and Genomic Networks 18
- Gene expression and cancer classification 5
- Biomedical Text Mining and Ontologies 5
- Gene Regulatory Network Analysis 5
- Plant biochemistry and biosynthesis 4
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- Computational Drug Discovery Methods 9
- Co-authors
- Martin Hofmann‐Apitius (34 shared papers)Sarah Mubeen (18 shared papers)Charles Tapley Hoyt (15 shared papers)Alpha Tom Kodamullil (17 shared papers)Holger Fröhlich (6 shared papers)Yojana Gadiya (11 shared papers)Reagon Karki (5 shared papers)Tamara Raschka (4 shared papers)
- Journals
- Bioinformatics (7 papers)BMC Bioinformatics (4 papers)Database (4 papers)npj Systems Biology and Applications (2 papers)Heliyon (2 papers)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Daniel Domingo‐Fernándéz
46 papers receiving 730 citations
Peers
Comparison fields: 5 of 107
- Health Informatics 13
- Computational Theory and Mathematics 118
- Molecular Biology 384
- Biological Psychiatry 12
- Artificial Intelligence 125
Countries citing papers authored by Daniel Domingo‐Fernándéz
This map shows the geographic impact of Daniel Domingo‐Fernándéz'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 Domingo‐Fernándéz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Domingo‐Fernándéz more than expected).
Fields of papers citing papers by Daniel Domingo‐Fernándéz
This network shows the impact of papers produced by Daniel Domingo‐Fernándéz. 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 Domingo‐Fernándéz. The network helps show where Daniel Domingo‐Fernándéz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Domingo‐Fernándéz, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 73 | |
| 2 | 2019 | 72 | |
| 3 | 2018 | 50 | |
| 4 | 2024 | 42 | |
| 5 | 2022 | 35 | |
| 6 | 2019 | 33 | |
| 7 | 2018 | 30 | |
| 8 | 2017 | 29 | |
| 9 | 2020 | 27 | |
| 10 | 2020 | 19 | |
| 11 | 2023 | 17 | |
| 12 | 2019 | 16 | |
| 13 | 2022 | 16 | |
| 14 | 2019 | 15 | |
| 15 | 2021 | 15 | |
| 16 | 2025 | 15 | |
| 17 | 2020 | 15 | |
| 18 | 2023 | 14 | |
| 19 | 2020 | 14 | |
| 20 | 2019 | 14 |
About Daniel Domingo‐Fernándéz
Daniel Domingo‐Fernándéz is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Health, Toxicology and Mutagenesis and Psychiatry and Mental health, having authored 51 papers that have together received 746 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (18 papers), Computational Drug Discovery Methods (9 papers), Gene expression and cancer classification (5 papers), Biomedical Text Mining and Ontologies (5 papers), Gene Regulatory Network Analysis (5 papers), Plant biochemistry and biosynthesis (4 papers), Health, Environment, Cognitive Aging (4 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Health Informatics (13 citations), Computational Theory and Mathematics (118 citations), Molecular Biology (384 citations), Biological Psychiatry (12 citations) and Artificial Intelligence (125 citations). Daniel Domingo‐Fernándéz has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Martin Hofmann‐Apitius, Sarah Mubeen, Charles Tapley Hoyt, Alpha Tom Kodamullil, Holger Fröhlich, Yojana Gadiya, Reagon Karki, Tamara Raschka, Anandhi Iyappan and Colin Birkenbihl. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Database, npj Systems Biology and Applications and Heliyon.
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.