Judith Farrés
Impact in
- Cell Biology top 10%
- Hemoglobin structure and function
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- Computational Drug Discovery Methods
Papers in
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- Heme Oxygenase-1 and Carbon Monoxide 3
- Bioinformatics and Genomic Networks 2
- Plant tissue culture and regeneration 2
- Co-authors
- Pauli T. Kallio (9 shared papers)Patrick Aloy (2 shared papers)Albert Pujol (1 shared paper)Roberto Mosca (1 shared paper)Alexander D. Frey (5 shared papers)Ana Martı́nez (3 shared papers)Vladimir Kirkin (2 shared papers)Muhammed Koçak (1 shared paper)
- Journals
- Autophagy (2 papers)Bioinformatics (1 paper)Frontiers in Genetics (1 paper)Enzyme and Microbial Technology (1 paper)Biotechnology and Bioengineering (1 paper)
- Partner nations
- SpainSwitzerlandUnited Kingdom
In The Last Decade
Judith Farrés
26 papers receiving 884 citations
Peers
Comparison fields: 5 of 128
- Cell Biology 172
- Computational Theory and Mathematics 135
- Hepatology 53
- Molecular Biology 469
- Physiology 22
Countries citing papers authored by Judith Farrés
This map shows the geographic impact of Judith Farrés'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 Judith Farrés with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judith Farrés more than expected).
Fields of papers citing papers by Judith Farrés
This network shows the impact of papers produced by Judith Farrés. 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 Judith Farrés. The network helps show where Judith Farrés may publish in the future.
Co-authors
The 25 scholars most cited alongside Judith Farrés, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 268 | |
| 2 | 2021 | 149 | |
| 3 | 2002 | 97 | |
| 4 | 2020 | 61 | |
| 5 | 2018 | 56 | |
| 6 | 2001 | 38 | |
| 7 | 2005 | 37 | |
| 8 | 2002 | 33 | |
| 9 | 2004 | 27 | |
| 10 | 1997 | 27 | |
| 11 | 2020 | 25 | |
| 12 | 2010 | 24 | |
| 13 | 2000 | 24 | |
| 14 | 2002 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2005 | 8 | |
| 17 | 2006 | 7 | |
| 18 | 2021 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2007 | 4 |
About Judith Farrés
Judith Farrés is a scholar working on Molecular Biology, Plant Science, Epidemiology, Cell Biology and Pediatrics, Perinatology and Child Health, having authored 26 papers that have together received 921 indexed citations. Recurring topics across this work include Hemoglobin structure and function (4 papers), Neonatal Health and Biochemistry (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Autophagy in Disease and Therapy (3 papers), Transgenic Plants and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers), Plant tissue culture and regeneration (2 papers) and Chronic Disease Management Strategies (1 paper). The work is most often cited by research in Cell Biology (172 citations), Computational Theory and Mathematics (135 citations), Hepatology (53 citations), Molecular Biology (469 citations) and Physiology (22 citations). Judith Farrés has collaborated with scholars based in Spain, Switzerland and United Kingdom. Frequent co-authors include Pauli T. Kallio, Patrick Aloy, Albert Pujol, Roberto Mosca, Alexander D. Frey, Ana Martı́nez, Vladimir Kirkin, Muhammed Koçak, Ole Pleß and Inés Maestro. Their work appears in journals such as Autophagy, Bioinformatics, Frontiers in Genetics, Enzyme and Microbial Technology and Biotechnology and Bioengineering.
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.