Judith Farrés

1.2k total citations
25 papers, 852 citations indexed

About

Judith Farrés is a scholar working on Molecular Biology, Epidemiology and Plant Science. According to data from OpenAlex, Judith Farrés has authored 25 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Plant Science. Recurrent topics in Judith Farrés's work include Hemoglobin structure and function (4 papers), Neonatal Health and Biochemistry (3 papers) and Autophagy in Disease and Therapy (3 papers). Judith Farrés is often cited by papers focused on Hemoglobin structure and function (4 papers), Neonatal Health and Biochemistry (3 papers) and Autophagy in Disease and Therapy (3 papers). Judith Farrés collaborates with scholars based in Spain, Switzerland and United Kingdom. Judith Farrés's co-authors include Pauli T. Kallio, Patrick Aloy, Albert Pujol, Roberto Mosca, Alexander D. Frey, Vladimir Kirkin, Ole Pleß, Ana Martı́nez, Muhammed Koçak and Inés Maestro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Judith Farrés

24 papers receiving 826 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Judith Farrés Spain 13 465 166 144 134 87 25 852
Anne S. Kienhuis Netherlands 20 339 0.7× 90 0.5× 68 0.5× 101 0.8× 81 0.9× 40 926
G. Hanton France 16 805 1.7× 52 0.3× 133 0.9× 88 0.7× 183 2.1× 41 1.4k
Brian N. Chorley United States 21 835 1.8× 52 0.3× 100 0.7× 101 0.8× 151 1.7× 53 1.4k
Jessica H. Hartman United States 20 312 0.7× 46 0.3× 77 0.5× 54 0.4× 102 1.2× 46 993
Malcolm J. York United Kingdom 18 245 0.5× 30 0.2× 101 0.7× 54 0.4× 74 0.9× 29 1.1k
Annie Borgne‐Sanchez France 14 425 0.9× 32 0.2× 260 1.8× 47 0.4× 110 1.3× 19 1.0k
Jiekun Xuan China 19 472 1.0× 58 0.3× 78 0.5× 26 0.2× 77 0.9× 29 1.2k
Claude Charuel France 12 693 1.5× 25 0.2× 87 0.6× 76 0.6× 138 1.6× 19 1.1k
Naoki Kiyosawa Japan 19 475 1.0× 30 0.2× 49 0.3× 135 1.0× 33 0.4× 46 859
Maria Concetta Palumbo Italy 20 432 0.9× 33 0.2× 83 0.6× 36 0.3× 103 1.2× 35 998

Countries citing papers authored by Judith Farrés

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Judith Farrés

This figure shows the co-authorship network connecting the top 25 collaborators of Judith Farrés. A scholar is included among the top collaborators of Judith Farrés 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 Judith Farrés. Judith Farrés is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Farrés, Judith, et al.. (2024). MMPred: a tool to predict peptide mimicry events in MHC class II recognition. Frontiers in Genetics. 15. 1500684–1500684.
2.
Oliva, Baldo, et al.. (2023). A decision support system based on artificial intelligence and systems biology for the simulation of pancreatic cancer patient status. CPT Pharmacometrics & Systems Pharmacology. 12(7). 916–928. 4 indexed citations
3.
Reggiori, Fulvio, Patricia Boya, David Da Costa, et al.. (2022). The mechanism of macroautophagy: The movie. SHILAP Revista de lepidopterología. 1(1). 414–417. 1 indexed citations
4.
Farrés, Judith, et al.. (2021). CuBlock: a cross-platform normalization method for gene-expression microarrays. Bioinformatics. 37(16). 2365–2373. 7 indexed citations
5.
Koçak, Muhammed, Inés Maestro, Judith Farrés, et al.. (2021). Targeting autophagy in disease: established and new strategies. Autophagy. 18(3). 473–495. 139 indexed citations
6.
Farrés, Judith, José Manuel Mas, Maria‐Rosa Sarrias, et al.. (2021). Identification of the most vulnerable populations in the psychosocial sphere: a cross-sectional study conducted in Catalonia during the strict lockdown imposed against the COVID-19 pandemic. BMJ Open. 11(11). e052140–e052140. 5 indexed citations
7.
Rosich, Laia, Mònica López‐Guerra, Irene López‐Oreja, et al.. (2020). Systems biology drug screening identifies statins as enhancers of current therapies in chronic lymphocytic leukemia. Scientific Reports. 10(1). 22153–22153. 24 indexed citations
8.
9.
Solé, Cristina, Elsa Solà, Patrícia Huelin, et al.. (2018). Characterization of inflammatory response in hepatorenal syndrome: Relationship with kidney outcome and survival. Liver International. 39(7). 1246–1255. 54 indexed citations
10.
Kraft, Claudine, Patricia Boya, Patrice Codogno, et al.. (2018). Driving next-generation autophagy researchers towards translation (DRIVE), an international PhD training program on autophagy. Autophagy. 15(2). 347–351. 4 indexed citations
11.
Pujol, Albert, Roberto Mosca, Judith Farrés, & Patrick Aloy. (2010). Unveiling the role of network and systems biology in drug discovery. Trends in Pharmacological Sciences. 31(3). 115–123. 238 indexed citations
12.
Farrés, Judith, Mireia Coma, José Luis Ruiz, et al.. (2010). Revealing the molecular relationship between type 2 diabetes and the metabolic changes induced by a very-low-carbohydrate low-fat ketogenic diet. Nutrition & Metabolism. 7(1). 88–88. 21 indexed citations
13.
Villalbí, Joan R. & Judith Farrés. (2005). Culminar la reforma de la atención primaria de salud: gestión del cambio en Barcelona, 1998-2003. Atención Primaria. 35(9). 484–488. 8 indexed citations
14.
Frey, Alexander D., et al.. (2004). Expression of Vitreoscilla haemoglobin in tobacco cell cultures relieves nitrosative stress in vivo and protects from NO in vitro. Plant Biotechnology Journal. 2(3). 221–231. 25 indexed citations
15.
Farrés, Judith, Niklas Holmberg, Uwe Schlattner, et al.. (2002). Expressing creatine kinase in transgenic tobacco – a first step towards introducing an energy buffering system in plants. Transgenic Research. 11(1). 49–59. 8 indexed citations
16.
Frey, Alexander D., et al.. (2002). Bacterial Hemoglobins and Flavohemoglobins for Alleviation of Nitrosative Stress in Escherichia coli. Applied and Environmental Microbiology. 68(10). 4835–4840. 92 indexed citations
17.
Holmberg, Niklas, Judith Farrés, James E. Bailey, & Pauli T. Kallio. (2001). Targeted expression of a synthetic codon optimized gene, encoding the spruce budworm antifreeze protein, leads to accumulation of antifreeze activity in the apoplasts of transgenic tobacco. Gene. 275(1). 115–124. 34 indexed citations
18.
Farrés, Judith, Glòria Caminal, & Josep López-Santı́n. (1997). Influence of phosphate on rhamnose-containing exopolysaccharide rheology and production by Klebsiella I-714. Applied Microbiology and Biotechnology. 48(4). 522–527. 26 indexed citations
19.
Farrés, Judith, et al.. (1988). [Hospital utilization in Spain: potential effects of the reform of primary health care].. PubMed. 91(20). 761–3. 3 indexed citations
20.
Villalbí, Joan R., et al.. (1987). [Reform of primary care as seen by patients: a study of user complaints].. PubMed. 181(4). 223–6. 1 indexed citations

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.

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