María Rosa Juliá

1.6k total citations
56 papers, 1.1k citations indexed

About

María Rosa Juliá is a scholar working on Building and Construction, Polymers and Plastics and Immunology. According to data from OpenAlex, María Rosa Juliá has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Building and Construction, 13 papers in Polymers and Plastics and 8 papers in Immunology. Recurrent topics in María Rosa Juliá's work include Dyeing and Modifying Textile Fibers (21 papers), Textile materials and evaluations (13 papers) and Systemic Lupus Erythematosus Research (5 papers). María Rosa Juliá is often cited by papers focused on Dyeing and Modifying Textile Fibers (21 papers), Textile materials and evaluations (13 papers) and Systemic Lupus Erythematosus Research (5 papers). María Rosa Juliá collaborates with scholars based in Spain, Serbia and United Kingdom. María Rosa Juliá's co-authors include P. Erra, D. Jocić, Ricardo Molina, Petar Jovanĉić, M. R. Infante, Susana Vílchez, Francesc Graus, Thaís Armangué, Ana Felipe‐Rucián and Josep Dalmau and has published in prestigious journals such as Neurology, American Journal of Respiratory and Critical Care Medicine and Scientific Reports.

In The Last Decade

María Rosa Juliá

56 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María Rosa Juliá Spain 17 354 221 197 155 153 56 1.1k
Pascal Cousin Switzerland 18 54 0.2× 15 0.1× 36 0.2× 77 0.5× 36 0.2× 38 1.6k
Sabrina Lacomme France 16 10 0.0× 30 0.1× 91 0.5× 62 0.4× 38 0.2× 36 792
Bo Pettersson Sweden 21 23 0.1× 4 0.0× 60 0.3× 389 2.5× 67 0.4× 52 1.7k
Leszek J. Wolfram United States 14 257 0.7× 5 0.0× 48 0.2× 182 1.2× 10 0.1× 37 760
Xiaodong Duan China 16 3 0.0× 68 0.3× 278 1.4× 76 0.5× 124 0.8× 53 1.3k
Xu Huang China 11 19 0.1× 23 0.1× 184 0.9× 9 0.1× 64 0.4× 21 685
Tracy Hopkins United States 12 45 0.1× 7 0.0× 251 1.3× 22 0.1× 32 0.2× 21 522
M. Stankovská Slovakia 11 11 0.0× 12 0.1× 93 0.5× 33 0.2× 29 0.2× 28 617
Qin Du China 17 4 0.0× 219 1.0× 52 0.3× 71 0.5× 107 0.7× 70 868
Tomoyuki Okada Japan 21 8 0.0× 20 0.1× 12 0.1× 56 0.4× 194 1.3× 85 1.4k

Countries citing papers authored by María Rosa Juliá

Since Specialization
Citations

This map shows the geographic impact of María Rosa Juliá'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 María Rosa Juliá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Rosa Juliá more than expected).

Fields of papers citing papers by María Rosa Juliá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Rosa Juliá. 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 María Rosa Juliá. The network helps show where María Rosa Juliá may publish in the future.

Co-authorship network of co-authors of María Rosa Juliá

This figure shows the co-authorship network connecting the top 25 collaborators of María Rosa Juliá. A scholar is included among the top collaborators of María Rosa Juliá 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 María Rosa Juliá. María Rosa Juliá 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.
Andrade, Bernardo López, Leyre Bento, Julio Iglesias, et al.. (2024). Plasma from patients undergoing allogeneic hematopoietic stem cell transplantation promotes NETOSIS in vitro and correlates with inflammatory parameters and clinical severity. Frontiers in Immunology. 15. 1 indexed citations
2.
Juliá, María Rosa, et al.. (2024). Sequential administration of paricalcitol followed by IL-17 blockade for progressive refractory IgA nephropathy patients. Scientific Reports. 14(1). 4866–4866. 1 indexed citations
3.
Ortiz‐Fernández, Lourdes, Norberto Ortego‐Centeno, Rocío González-León, et al.. (2017). PTPN22 is not associated with Behçet's disease. Study spanning the complete gene region in the Spanish population and meta-analysis of the functional variant R620W.. PubMed. 34(6 Suppl 102). S41–S45. 3 indexed citations
4.
Spatola, Marianna, Mar Petit‐Pedrol, Mateus Mistieri Simabukuro, et al.. (2017). Investigations in GABA A receptor antibody-associated encephalitis. Neurology. 88(11). 1012–1020. 215 indexed citations
5.
Campins, Antoni A, et al.. (2016). Neuronal surface antibodies in HIV-infected patients with isolated psychosis. Journal of Neuroimmunology. 301. 49–52. 5 indexed citations
6.
Clemente, Antonio, et al.. (2016). Anti-NMDAR antibodies in new-onset psychosis. Positive results in an HIV-infected patient. Brain Behavior and Immunity. 56. 56–60. 17 indexed citations
7.
Núñez, Belén, Jaume Sauleda, Josep M. Antó, et al.. (2010). Anti-Tissue Antibodies Are Related to Lung Function in Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. 183(8). 1025–1031. 76 indexed citations
8.
Juliá, María Rosa, et al.. (2008). Drug-induced hepatitis superimposed on the presence of anti-SLA antibody: a case report. Journal of Medical Case Reports. 2(1). 25–25. 4 indexed citations
9.
Pallarés, L, et al.. (2006). Allelic Diversity and Affinity Variants of MICA are Imbalanced in Spanish Patients with Behçet's Disease. Scandinavian Journal of Immunology. 64(1). 77–82. 33 indexed citations
10.
11.
Pons, Jaime, Jaume Sauleda, J.M. Escribano Ferrer, et al.. (2005). Blunted γδ T-lymphocyte response in chronic obstructive pulmonary disease. European Respiratory Journal. 25(3). 441–446. 39 indexed citations
12.
Jocić, D., Susana Vílchez, Tatjana Topalović, et al.. (2004). Chitosan/acid dye interactions in wool dyeing system. Carbohydrate Polymers. 60(1). 51–59. 52 indexed citations
13.
Jovanĉić, Petar, D. Jocić, Ricardo Molina, et al.. (2002). A comparative study of two wool enzyme treatments. Indian Journal of Fibre & Textile Research. 27(4). 408–416. 4 indexed citations
14.
Juliá, María Rosa, et al.. (2001). The role of chitosan in wool finishing. Journal of Biotechnology. 89(2-3). 289–296. 56 indexed citations
15.
Jocić, D., María Rosa Juliá, & P. Erra. (1997). Application of a chitosan/nonionic surfactant mixture to wool assessed by dyeing with a reactive dye. Journal of the Society of Dyers and Colourists. 113(1). 25–31. 35 indexed citations
16.
Gómez, Nidia N., María Rosa Juliá, David M. Lewis, & P. Erra. (1995). The use of FTIR to investigate modifications to wool treated with sodium sulphite and cationic protein hydrolysate. Journal of the Society of Dyers and Colourists. 111(9). 281–284. 15 indexed citations
17.
Juliá, María Rosa, Nidia N. Gómez, Luísa Coderch, & P. Erra. (1991). A New Process for Exhausting a Permethrin-based Mothproofing Agent on Wool Fibres. Journal of the Textile Institute. 82(4). 447–455. 1 indexed citations
18.
Erra, P., et al.. (1988). Wool Shrink-Resistance. Tenside Surfactants Detergents. 25(5). 275–278. 4 indexed citations
19.
Molinero, J., María Rosa Juliá, P. Erra, M. Robert, & M. R. Infante. (1988). ChemInform Abstract: Synthesis and Properties of Nα‐Lauroyl‐L‐arginine Dipeptides from Collagen.. ChemInform. 19(43). 4 indexed citations
20.

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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