E. Presani

3.3k total citations
39 papers, 1.0k citations indexed

About

E. Presani is a scholar working on Immunology, Parasitology and Infectious Diseases. According to data from OpenAlex, E. Presani has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 9 papers in Parasitology and 7 papers in Infectious Diseases. Recurrent topics in E. Presani's work include Viral Infections and Vectors (7 papers), Vector-borne infectious diseases (6 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers). E. Presani is often cited by papers focused on Viral Infections and Vectors (7 papers), Vector-borne infectious diseases (6 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers). E. Presani collaborates with scholars based in Italy, Netherlands and United States. E. Presani's co-authors include Sandra Perticarari, Elena Banfi, Giuseppe Ricci, Marina Cinco, Secondo Guaschino, Rita Boscolo, Loredana Lepore, Marina Cinco, Marco Pennesi and Rossella Murgia and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Infection and Immunity.

In The Last Decade

E. Presani

37 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Presani Italy 20 343 213 203 175 171 39 1.0k
Paul Weisz-Carrington United States 14 428 1.2× 120 0.6× 30 0.1× 34 0.2× 110 0.6× 21 1.1k
Marcella Mori Belgium 18 109 0.3× 208 1.0× 333 1.6× 18 0.1× 194 1.1× 44 924
R Châtelain Germany 18 500 1.5× 368 1.7× 100 0.5× 14 0.1× 94 0.5× 40 1.3k
Harpreet Vohra India 17 624 1.8× 276 1.3× 58 0.3× 8 0.0× 261 1.5× 46 1.3k
L. E. Glynn United States 9 211 0.6× 43 0.2× 25 0.1× 13 0.1× 76 0.4× 27 865
Xiaopeng Qi China 20 588 1.7× 204 1.0× 55 0.3× 8 0.0× 199 1.2× 48 1.5k
Abdelfattah M. Attallah Egypt 22 289 0.8× 71 0.3× 198 1.0× 7 0.0× 71 0.4× 114 1.4k
Uwe Ritter Germany 27 1.1k 3.2× 778 3.7× 193 1.0× 8 0.0× 83 0.5× 50 1.9k
T. A. Mota‐Santos Brazil 11 595 1.7× 92 0.4× 429 2.1× 4 0.0× 61 0.4× 20 1.2k
Sachin Mulik United States 18 655 1.9× 206 1.0× 57 0.3× 30 0.2× 102 0.6× 30 1.3k

Countries citing papers authored by E. Presani

Since Specialization
Citations

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

Fields of papers citing papers by E. Presani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Presani

This figure shows the co-authorship network connecting the top 25 collaborators of E. Presani. A scholar is included among the top collaborators of E. Presani 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 E. Presani. E. Presani 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.
Hosseini, Saghar, et al.. (2023). ROBBIE: Robust Bias Evaluation of Large Generative Language Models. 3764–3814. 6 indexed citations
2.
3.
Ricci, Giuseppe, Sandra Perticarari, Rita Boscolo, et al.. (2009). Leukocytospermia and sperm preparation - a flow cytometric study. Reproductive Biology and Endocrinology. 7(1). 128–128. 24 indexed citations
4.
Perticarari, Sandra, Giuseppe Ricci, Rita Boscolo, et al.. (2008). Fas receptor is not present on ejaculated human sperm. Human Reproduction. 23(6). 1271–1279. 11 indexed citations
5.
Perticarari, Sandra, Giuseppe Ricci, Marilena Granzotto, et al.. (2006). A new multiparameter flow cytometric method for human semen analysis. Human Reproduction. 22(2). 485–494. 32 indexed citations
6.
Pausa, M., Marina Cinco, Piero Giulio Giulianini, et al.. (2003). Serum-Resistant Strains of Borrelia burgdorferi Evade Complement-Mediated Killing by Expressing a CD59-Like Complement Inhibitory Molecule. The Journal of Immunology. 170(6). 3214–3222. 84 indexed citations
7.
Cinco, Marina, et al.. (2002). Leptospira interrogans binds to the CR3 receptor on mammalian cells. Microbial Pathogenesis. 33(6). 299–305. 22 indexed citations
8.
Dri, Pietro, et al.. (2002). Measurement of phagosomal pH of normal and CGD‐like human neutrophils by dual fluorescence flow cytometry. Cytometry. 48(3). 159–166. 27 indexed citations
9.
Dri, Pietro, C Gasparini, Renzo Menegazzi, et al.. (2000). TNF-Induced Shedding of TNF Receptors in Human Polymorphonuclear Leukocytes: Role of the 55-kDa TNF Receptor and Involvement of a Membrane-Bound and Non-Matrix Metalloproteinase. The Journal of Immunology. 165(4). 2165–2172. 65 indexed citations
10.
Ricci, Giuseppe, E. Presani, Secondo Guaschino, Roberto Simeone, & Sandra Perticarari. (2000). Leukocyte detection in human semen using flow cytometry. Human Reproduction. 15(6). 1329–1337. 40 indexed citations
11.
Cinco, Marina, et al.. (1994). Simultaneous measurement by flow cytometry of phagocytosis and metabolic burst induced in phagocytic cells in whole blood byBorrelia burgdorferi. FEMS Microbiology Letters. 122(1-2). 187–193. 25 indexed citations
12.
Perticarari, Sandra, E. Presani, & Elena Banfi. (1994). A new flow cytometric assay for the evaluation of phagocytosis and the oxidative burst in whole blood. Journal of Immunological Methods. 170(1). 117–124. 72 indexed citations
13.
Cinco, Marina, et al.. (1993). Biological activity of a peptidoglycan extracted from Leptospira interrogans: in vitro studies. Journal of General Microbiology. 139(12). 2959–2964. 10 indexed citations
14.
Perticarari, Sandra, et al.. (1992). ELISA Method for Quantitative Measurement of IgA and IgG Specific Anti-gliadin Antibodies. Journal of Pediatric Gastroenterology and Nutrition. 15(3). 302–309. 7 indexed citations
15.
Perticarari, Sandra, et al.. (1991). Simultaneous flow cytometric method to measure phagocytosis and oxidative products by neutrophils. Cytometry. 12(7). 687–693. 68 indexed citations
16.
Presani, E., et al.. (1989). Flow cytometric detection of anti-gliadin antibodies. Journal of Immunological Methods. 119(2). 197–202. 8 indexed citations
17.
Perticarari, Sandra, et al.. (1989). Flow Cytometric Analysis of DNA Content in Cervical Lesions. Pathology - Research and Practice. 185(5). 686–688. 8 indexed citations
18.
Banfi, Elena, Marina Cinco, Sandra Perticarari, & E. Presani. (1989). Rapid flow cytometric studies of Borrelia burgdorferi phagocytosis by human polymorphonuclear leukocytes. Journal of Applied Bacteriology. 67(1). 37–45. 15 indexed citations
19.
Perticarari, Sandra, et al.. (1987). Serum IgA and IgG antibodies to α-gliadin: Comparison between two ELISA methods. La Ricerca in Clinica e in Laboratorio. 17(4). 323–329. 2 indexed citations
20.
Kokelj, F, Sandra Perticarari, E. Presani, & Giusto Trevisan. (1983). An analysis of T-lymphocyte subpopulations in psoriasis using monoclonal antibodies. Acta Dermato Venereologica. 63(5). 422–424. 5 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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