Daniel Toro‐Domínguez
Impact in
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
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- Atherosclerosis and Cardiovascular Diseases
- T-cell and B-cell Immunology
Papers in
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- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 3
- Single-cell and spatial transcriptomics 2
- Rheumatology 10
- Systemic Lupus Erythematosus Research 10
- Co-authors
- Marta E. Alarcón‐Riquelme (15 shared papers)Pedro Carmona‐Sáez (13 shared papers)Jordi Martorell‐Marugán (11 shared papers)Raúl López-Domínguez (6 shared papers)Adrián García-Moreno (4 shared papers)Daniel Goldman (4 shared papers)Víctor González‐Rumayor (2 shared papers)Michelle Petri (3 shared papers)
- Journals
- Briefings in Bioinformatics (3 papers)Bioinformatics (2 papers)Arthritis Research & Therapy (2 papers)BMC Bioinformatics (2 papers)Scientific Reports (1 paper)
- Partner nations
- SpainSwedenUnited States
In The Last Decade
Daniel Toro‐Domínguez
17 papers receiving 513 citations
Peers
Comparison fields: 5 of 80
- Rheumatology 207
- Immunology 198
- Cancer Research 61
- Oncology 76
- Molecular Biology 188
Countries citing papers authored by Daniel Toro‐Domínguez
This map shows the geographic impact of Daniel Toro‐Domínguez'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 Toro‐Domínguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Toro‐Domínguez more than expected).
Fields of papers citing papers by Daniel Toro‐Domínguez
This network shows the impact of papers produced by Daniel Toro‐Domínguez. 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 Toro‐Domínguez. The network helps show where Daniel Toro‐Domínguez may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Toro‐Domínguez, 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 | 2018 | 105 | |
| 2 | 2017 | 98 | |
| 3 | 2018 | 75 | |
| 4 | 2014 | 57 | |
| 5 | 2020 | 51 | |
| 6 | 2019 | 25 | |
| 7 | 2022 | 23 | |
| 8 | 2021 | 20 | |
| 9 | 2023 | 17 | |
| 10 | 2017 | 13 | |
| 11 | 2021 | 13 | |
| 12 | 2017 | 11 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 |
About Daniel Toro‐Domínguez
Daniel Toro‐Domínguez is a scholar working on Molecular Biology, Rheumatology, Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 528 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (10 papers), Gene expression and cancer classification (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), T-cell and B-cell Immunology (4 papers), Bioinformatics and Genomic Networks (3 papers), Single-cell and spatial transcriptomics (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Rheumatology (207 citations), Immunology (198 citations), Cancer Research (61 citations), Oncology (76 citations) and Molecular Biology (188 citations). Daniel Toro‐Domínguez has collaborated with scholars based in Spain, Sweden and United States. Frequent co-authors include Marta E. Alarcón‐Riquelme, Pedro Carmona‐Sáez, Jordi Martorell‐Marugán, Raúl López-Domínguez, Adrián García-Moreno, Daniel Goldman, Víctor González‐Rumayor, Michelle Petri, Juan Antonio Villatoro-García and Guillermo Barturen. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, Arthritis Research & Therapy, BMC Bioinformatics and Scientific Reports.
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.