Juliana Leoni

1.4k total citations
56 papers, 1.1k citations indexed

About

Juliana Leoni is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Juliana Leoni has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Molecular Biology and 18 papers in Immunology. Recurrent topics in Juliana Leoni's work include Monoclonal and Polyclonal Antibodies Research (21 papers), Glycosylation and Glycoproteins Research (14 papers) and Skin Protection and Aging (11 papers). Juliana Leoni is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (21 papers), Glycosylation and Glycoproteins Research (14 papers) and Skin Protection and Aging (11 papers). Juliana Leoni collaborates with scholars based in Argentina, United States and Brazil. Juliana Leoni's co-authors include Mariela L. Paz, Daniel H. González Maglio, Ricardo A. Margni, Lilian I. Plotkin, Irina Mathov, Carlos A. Fossati, Mario O. Labéta, Juanita Bustamante, Fernando A. Goldbaum and Luis Squiquera and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Juliana Leoni

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
Juliana Leoni Argentina 21 385 301 272 264 135 56 1.1k
Yi‐Hsing Chen Taiwan 22 491 1.3× 266 0.9× 239 0.9× 126 0.5× 203 1.5× 72 1.5k
Hans Lange Germany 16 485 1.3× 610 2.0× 131 0.5× 162 0.6× 135 1.0× 48 1.5k
Andreas Popp Germany 15 433 1.1× 429 1.4× 168 0.6× 33 0.1× 198 1.5× 31 1.4k
L. Berrens Netherlands 17 249 0.6× 245 0.8× 112 0.4× 857 3.2× 105 0.8× 154 1.9k
Keigo Kurata Japan 18 480 1.2× 377 1.3× 119 0.4× 264 1.0× 56 0.4× 46 1.2k
Amar S. Tung United States 17 480 1.2× 729 2.4× 531 2.0× 86 0.3× 79 0.6× 33 1.6k
Lee K. Roberts United States 20 187 0.5× 504 1.7× 68 0.3× 429 1.6× 119 0.9× 47 1.4k
T A Fong United States 6 170 0.4× 914 3.0× 91 0.3× 135 0.5× 236 1.7× 6 1.4k
Farouk Shakib United Kingdom 30 386 1.0× 885 2.9× 367 1.3× 482 1.8× 123 0.9× 73 2.9k
Merrill W. Chase United States 16 181 0.5× 367 1.2× 137 0.5× 241 0.9× 130 1.0× 43 1.1k

Countries citing papers authored by Juliana Leoni

Since Specialization
Citations

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

Fields of papers citing papers by Juliana Leoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juliana Leoni. 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 Juliana Leoni. The network helps show where Juliana Leoni may publish in the future.

Co-authorship network of co-authors of Juliana Leoni

This figure shows the co-authorship network connecting the top 25 collaborators of Juliana Leoni. A scholar is included among the top collaborators of Juliana Leoni 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 Juliana Leoni. Juliana Leoni 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.
Leoni, Juliana, et al.. (2023). C5a complement levels in clinical remission AQP4-IgG-positive NMO patients. Acta Neurologica Belgica. 123(4). 1447–1451. 4 indexed citations
2.
Leoni, Juliana, et al.. (2021). Low Vitamin D Serum Levels in a Cohort of Myasthenia Gravis Patients in Argentina. Photochemistry and Photobiology. 97(5). 1145–1149. 7 indexed citations
3.
4.
Leoni, Juliana, et al.. (2017). Serological Survey of Antibodies to Mannheimia haemolytica and Pasteurella multocida in Camelids from Argentina. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 2(4). 2 indexed citations
5.
Barberis, Claudia, et al.. (2017). Identification of Lama glama as Reservoirs for Acinetobacter lwoffii. Frontiers in Microbiology. 8. 278–278. 8 indexed citations
6.
Paz, Mariela L., et al.. (2012). Lipoteichoic acid fromLactobacillus rhamnosus GGas an oral photoprotective agent against UV-induced carcinogenesis. British Journal Of Nutrition. 109(3). 457–466. 59 indexed citations
7.
Paz, Mariela L., et al.. (2011). Skin Exposure to Chronic But Not Acute UV Radiation Affects Peripheral T-Cell Function. Journal of Toxicology and Environmental Health. 74(13). 838–847. 13 indexed citations
8.
9.
Maglio, Daniel H. González, et al.. (2009). Alterations in Skin Immune Response Throughout Chronic UVB Irradiation—Skin Cancer Development and Prevention by Naproxen. Photochemistry and Photobiology. 86(1). 146–152. 18 indexed citations
10.
Paz, Mariela L., et al.. (2008). Time-course evaluation and treatment of skin inflammatory immune response after ultraviolet B irradiation. Cytokine. 44(1). 70–77. 30 indexed citations
11.
Paz, Mariela L., et al.. (2005). Cambio del isotipo en la respuesta a antígenos T independientes por co-inoculación con antígenos T dependientes. Medicina-buenos Aires. 65(2). 103–107. 1 indexed citations
12.
Maglio, Daniel H. González, et al.. (2005). Skin damage and mitochondrial dysfunction after acute ultraviolet B irradiation: relationship with nitric oxide production. Photodermatology Photoimmunology & Photomedicine. 21(6). 311–317. 43 indexed citations
13.
Molinero, Luciana, et al.. (2003). Up-regulated expression of MICA and proinflammatory cytokines in skin biopsies from patients with seborrhoeic dermatitis. Clinical Immunology. 106(1). 50–54. 21 indexed citations
14.
Polikarpov, Igor, Ana Cauerhff, Irina Mathov, et al.. (1998). Crystallization and preliminary diffraction studies of a human fabµ with Anti-I activity. Protein and Peptide Letters. 5(3). 177–180. 1 indexed citations
15.
Plotkin, Lilian I., Luis Squiquera, Irina Mathov, Ricardo Galimberti, & Juliana Leoni. (1996). Characterization of the lipase activity ofMalassezia furfur. Medical Mycology. 34(1). 43–48. 40 indexed citations
16.
Plotkin, Lilian I., et al.. (1996). The frequent mutation Gly/Asp in CDR1H may determine a cross-reactive idiotope in anti-I cold agglutinins. Clinical & Experimental Immunology. 104(1). 185–190. 1 indexed citations
17.
Squiquera, Luis, et al.. (1994). Antibodies to proteins from Pityrosporum ovale in the sera from patients with psoriasis. Clinical and Experimental Dermatology. 19(4). 289–293. 30 indexed citations
18.
Ghiso, Jorge, et al.. (1990). Binding of cystatin C to C4: the importance of sense-antisense peptides in their interaction.. Proceedings of the National Academy of Sciences. 87(4). 1288–1291. 37 indexed citations
19.
Leoni, Juliana, et al.. (1988). Hae danazol increased c4 serum level while c1inh antigenic and functional remained low. 60(2). 156. 1 indexed citations
20.
Margni, Ricardo A., et al.. (1977). The incomplete anti-Rh antibody agglutination mechanism of trypsinized ORh+ red cells.. PubMed. 33(2). 153–60. 8 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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