Sara Mangialaio

1.1k total citations · 1 hit paper
8 papers, 928 citations indexed

About

Sara Mangialaio is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology. According to data from OpenAlex, Sara Mangialaio has authored 8 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Sara Mangialaio's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Advanced Biosensing Techniques and Applications (2 papers) and Immunotherapy and Immune Responses (2 papers). Sara Mangialaio is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Advanced Biosensing Techniques and Applications (2 papers) and Immunotherapy and Immune Responses (2 papers). Sara Mangialaio collaborates with scholars based in Switzerland, France and United States. Sara Mangialaio's co-authors include Diane Mathis, Hong Ji, Anne‐Sophie Korganow, Christophe Benoıst, Véronique Duchatelle, Hitoshi Kikutani, Roberta Pelanda, Klaus Rajewsky, Claude Degott and Thierry Martin and has published in prestigious journals such as Journal of Clinical Oncology, Immunity and Immunological Reviews.

In The Last Decade

Sara Mangialaio

8 papers receiving 910 citations

Hit Papers

From Systemic T Cell Self... 1999 2026 2008 2017 1999 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Mangialaio Switzerland 8 451 221 212 207 203 8 928
M Cuchacovich Chile 19 339 0.8× 209 0.9× 397 1.9× 187 0.9× 160 0.8× 48 1.0k
Remedios Nazareno United States 13 492 1.1× 428 1.9× 294 1.4× 104 0.5× 113 0.6× 14 1.3k
Beatrice Bianchi Italy 17 145 0.3× 276 1.2× 176 0.8× 73 0.4× 56 0.3× 53 1.1k
Jodi L. Karnell United States 17 789 1.7× 279 1.3× 315 1.5× 239 1.2× 133 0.7× 22 1.4k
Michele Libonati United States 7 439 1.0× 214 1.0× 137 0.6× 418 2.0× 106 0.5× 8 1.2k
Yuan K. Chou United States 16 966 2.1× 156 0.7× 122 0.6× 180 0.9× 97 0.5× 39 1.3k
Alejandro Ruíz-Argüelles Mexico 13 355 0.8× 186 0.8× 217 1.0× 76 0.4× 245 1.2× 26 793
Laura R. Tranquill United States 16 694 1.5× 241 1.1× 164 0.8× 218 1.1× 116 0.6× 17 1.1k
Mark Maurer United States 13 783 1.7× 175 0.8× 116 0.5× 669 3.2× 99 0.5× 17 1.5k
Hitoshi Yoshida Japan 16 118 0.3× 201 0.9× 260 1.2× 174 0.8× 85 0.4× 48 825

Countries citing papers authored by Sara Mangialaio

Since Specialization
Citations

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

Fields of papers citing papers by Sara Mangialaio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Mangialaio

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

All Works

8 of 8 papers shown
1.
Ratner, Paul H., Charles P. Andrews, Frank C. Hampel, et al.. (2017). Efficacy and safety of setipiprant in seasonal allergic rhinitis: results from Phase 2 and Phase 3 randomized, double-blind, placebo- and active-referenced studies. Allergy Asthma and Clinical Immunology. 13(1). 18–18. 23 indexed citations
2.
Black, Jed, Giora Pillar, Jan Hedner, et al.. (2017). Efficacy and safety of almorexant in adult chronic insomnia: a randomized placebo-controlled trial with an active reference. Sleep Medicine. 36. 86–94. 35 indexed citations
3.
Mangialaio, Sara, et al.. (2006). Protein microarray platform for the multiplex analysis of biomarkers in human sera. Journal of Immunological Methods. 316(1-2). 1–7. 26 indexed citations
4.
Went, Philip, Stephan Dirnhofer, Marcel Bundi, et al.. (2004). Prevalence of KIT Expression in Human Tumors. Journal of Clinical Oncology. 22(22). 4514–4522. 174 indexed citations
5.
Mangialaio, Sara, et al.. (2003). Development of protein microarray technology to monitor biomarkers of rheumatoid arthritis disease. Cell Biology and Toxicology. 19(3). 189–202. 16 indexed citations
6.
Korganow, Anne‐Sophie, Hong Ji, Sara Mangialaio, et al.. (1999). From Systemic T Cell Self-Reactivity to Organ-Specific Autoimmune Disease via Immunoglobulins. Immunity. 10(4). 451–461. 571 indexed citations breakdown →
7.
Mangialaio, Sara, et al.. (1999). The arthritogenic T cell receptor and its ligand in a model of spontaneous arthritis. Arthritis & Rheumatism. 42(12). 2517–2523. 51 indexed citations
8.
Ji, Hong, Anne‐Sophie Korganow, Sara Mangialaio, et al.. (1999). Different modes of pathogenesis in T‐cell‐dependent autoimmunity: clues from two TCR transgenic systems. Immunological Reviews. 169(1). 139–146. 32 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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