Gabriel Pascual
- Molecular Biology top 2%
- Cancer Research top 1%
- Immunology top 2%
- Physiology top 5%
- Surgery top 5%
- Co-authors
- Christopher K. GlassMichael G. RosenfeldSumito OgawaMei LiTimothy M. WillsonValentina PerissiAmir GamlielMercedes Ricote
- Topics
- Peroxisome Proliferator-Activated Receptors (8 papers)NF-κB Signaling Pathways (6 papers)interferon and immune responses (3 papers)
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Gabriel Pascual
22 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 3.6k
- Cancer Research 1.5k
- Immunology 1.3k
- Physiology 651
- Surgery 610
Countries citing papers authored by Gabriel Pascual
This map shows the geographic impact of Gabriel Pascual'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 Gabriel Pascual with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Pascual more than expected).
Fields of papers citing papers by Gabriel Pascual
This network shows the impact of papers produced by Gabriel Pascual. 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 Gabriel Pascual. The network helps show where Gabriel Pascual may publish in the future.
Co-authorship network of co-authors of Gabriel Pascual
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Pascual. A scholar is included among the top collaborators of Gabriel Pascual based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriel Pascual. Gabriel Pascual is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 73 | |
| 4 | 44 | |
| 5 | 54 | |
| 6 | 8 | |
| 7 | 15 | |
| 8 | 87 | |
| 9 | 186 | |
| 10 | 14 | |
| 11 | 304 | |
| 12 | Induced ncRNAs allosterically modify RNA-binding proteins in cis to inhibit transcriptionbreakdown → | 805 |
| 13 | 10 | |
| 14 | 31 | |
| 15 | 451 | |
| 16 | 170 | |
| 17 | A SUMOylation-dependent pathway mediates transrepression of inflammatory response genes by PPAR-γbreakdown → | 1030 |
| 18 | 24 | |
| 19 | Molecular Determinants of Crosstalk between Nuclear Receptors and Toll-like Receptorsbreakdown → | 533 |
| 20 | 288 |
About Gabriel Pascual
Gabriel Pascual is a scholar working on Cancer Research, Immunology and Developmental Neuroscience, having authored 22 papers that have together received 5.4k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), NF-κB Signaling Pathways (6 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Cancer Research (1.5k citations), Immunology (1.3k citations) and Molecular Biology (3.6k citations). Gabriel Pascual has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Christopher K. Glass, Michael G. Rosenfeld, Sumito Ogawa, Mei Li, Timothy M. Willson, Valentina Perissi, Amir Gamliel, Mercedes Ricote, Andrew C. Li and David W. Rose. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.