O. Marelli

818 total citations
55 papers, 662 citations indexed

About

O. Marelli is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, O. Marelli has authored 55 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Immunology and 14 papers in Oncology. Recurrent topics in O. Marelli's work include Monoclonal and Polyclonal Antibodies Research (13 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Chronic Myeloid Leukemia Treatments (7 papers). O. Marelli is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (13 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Chronic Myeloid Leukemia Treatments (7 papers). O. Marelli collaborates with scholars based in Italy, United Kingdom and France. O. Marelli's co-authors include D. Lattuada, Paola Franco, A Nicolin, Gianfranco Canti, Donatella Lattuada, C. Corradini, Luisa Ricci, F. Fraschini, Noemi Tonna and Carla Perego and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Cancer Research.

In The Last Decade

O. Marelli

53 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
O. Marelli Italy 17 166 124 109 98 87 55 662
Annamária Szabolcs Hungary 16 270 1.6× 97 0.8× 200 1.8× 64 0.7× 97 1.1× 23 768
Eati Basal United States 15 401 2.4× 167 1.3× 97 0.9× 110 1.1× 68 0.8× 21 1.4k
Andrea Valenti Italy 14 198 1.2× 109 0.9× 124 1.1× 85 0.9× 57 0.7× 34 646
Kazuhiko Matsuno Japan 16 306 1.8× 85 0.7× 69 0.6× 60 0.6× 63 0.7× 62 782
H.A. Leaver United Kingdom 20 335 2.0× 165 1.3× 119 1.1× 223 2.3× 65 0.7× 61 1.1k
Nicholas Jones United Kingdom 16 203 1.2× 333 2.7× 101 0.9× 37 0.4× 149 1.7× 39 830
Katie M. Dixon Australia 17 202 1.2× 284 2.3× 118 1.1× 69 0.7× 71 0.8× 37 1.2k
Changsen Wang Canada 17 384 2.3× 203 1.6× 86 0.8× 109 1.1× 158 1.8× 26 1.0k
Beverly A. Reitz United States 16 341 2.1× 92 0.7× 72 0.7× 99 1.0× 115 1.3× 39 855
Nan Liu China 15 261 1.6× 132 1.1× 123 1.1× 93 0.9× 46 0.5× 75 753

Countries citing papers authored by O. Marelli

Since Specialization
Citations

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

Fields of papers citing papers by O. Marelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of O. Marelli

This figure shows the co-authorship network connecting the top 25 collaborators of O. Marelli. A scholar is included among the top collaborators of O. Marelli 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 O. Marelli. O. Marelli 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.
Manca, María Letizia, Donatella Lattuada, Donatella Valenti, et al.. (2019). Potential therapeutic effect of curcumin loaded hyalurosomes against inflammatory and oxidative processes involved in the pathogenesis of rheumatoid arthritis: The use of fibroblast-like synovial cells cultured in synovial fluid. European Journal of Pharmaceutics and Biopharmaceutics. 136. 84–92. 57 indexed citations
2.
3.
Lattuada, Donatella, C. Corradini, Francesca Ingegnoli, et al.. (2018). Anti-inflammatory Effect of Somatostatin Analogue Octreotide on Rheumatoid Arthritis Synoviocytes. Inflammation. 41(5). 1648–1660. 15 indexed citations
4.
Lattuada, Donatella, Noemi Tonna, Claudio Storini, et al.. (2014). Optimized “In Vitro” Culture Conditions for Human Rheumatoid Arthritis Synovial Fibroblasts. Mediators of Inflammation. 2014. 1–9. 21 indexed citations
5.
Lattuada, D., et al.. (2014). Proapoptotic Activity of a Monomeric Smac Mimetic on Human Fibroblast-Like Synoviocytes from Patients with Rheumatoid Arthritis. Inflammation. 38(1). 102–109. 11 indexed citations
6.
Lattuada, Donatella, Noemi Tonna, Roberta Benfante, et al.. (2013). The Expression of GHS-R in Primary Neurons Is Dependent upon Maturation Stage and Regional Localization. PLoS ONE. 8(6). e64183–e64183. 18 indexed citations
7.
Volpe, Gisella, et al.. (2012). Immunologic Evaluation of Peptides Derived From BCR/ABL-Out-of-Frame Fusion Protein in HLA A2.1 Transgenic Mice. Journal of Immunotherapy. 35(4). 321–328. 2 indexed citations
8.
Volpe, Gisella, Cristina Panuzzo, Donatella Lattuada, et al.. (2011). Characterization of a Monoclonal Antibody Specific for Novel Bcr/Abl Out-of-Frame Fusion Proteins. Hybridoma. 30(3). 261–269. 2 indexed citations
9.
Volpe, Gisella, D. Lattuada, Mirela Kuka, et al.. (2008). Out of frame peptides from BCR/ABL alternative splicing are immunogenic in HLA A2.1 transgenic mice. Cancer Letters. 276(1). 61–67. 4 indexed citations
10.
Lattuada, D., et al.. (2006). Inhibitory effect of pasireotide and octreotide on lymphocyte activation. Journal of Neuroimmunology. 182(1-2). 153–159. 32 indexed citations
11.
Lattuada, D., et al.. (2000). Monoclonal Antibody Against Human Growth Hormone Receptor. Hybridoma. 19(2). 177–183. 3 indexed citations
12.
Perego, Carla, D. Lattuada, Stefano Gatti, et al.. (1998). Study of the immunosuppressive effect of SMS 201-995 and its synergic action with FK 506. Transplantation Proceedings. 30(5). 2182–2184. 1 indexed citations
13.
Perego, Carla, D. Lattuada, Stefano Gatti, et al.. (1998). Evidence that SMS 201-995 enhances the immunosuppressive effect of FK506. International Journal of Immunopharmacology. 20(9). 479–490. 8 indexed citations
14.
Haeffner, A, Nathalie Thiéblemont, Olivier Déas, et al.. (1997). Inhibitory effect of growth hormone on TNF-α secretion and nuclear factor-kappaB translocation in lipopolysaccharide-stimulated human monocytes. The Journal of Immunology. 158(3). 1310–1314. 53 indexed citations
15.
Lattuada, D., et al.. (1996). Monoclonal Antibodies against Recombinant Human Growth Hormone as Probes to Study Immune Function. Hybridoma. 15(3). 211–217. 5 indexed citations
16.
Rossi, G., Stefano Gatti, P. Reggiani, et al.. (1996). Results of orthotopic liver-small bowel transplantation in the pig using different immunosuppressive regimens.. PubMed. 28(5). 2519–22. 1 indexed citations
17.
Canti, Gianfranco, Paola Franco, O. Marelli, et al.. (1990). Comparative study of the therapeutic effect of photoactivated hematoporphyrin derivative and aluminum disulfonated phthalocyanines on tumor bearing mice. Cancer Letters. 53(2-3). 123–127. 18 indexed citations
18.
Franco, Paola, O. Marelli, D. Lattuada, et al.. (1990). Influence of growth hormone on the immunosuppressive effect of prednisolone in mice. European Journal of Endocrinology. 123(3). 339–344. 20 indexed citations
19.
Fraschini, F., et al.. (1986). Evaluation of the Immunostimulating Activity of Erythromycin in Man. Chemotherapy. 32(3). 286–290. 35 indexed citations
20.
Canti, Gianfranco, et al.. (1981). HAEMATOPORPHYRIN‐TREATED MURINE LYMPHOCYTES: IN VITRO INHIBITION OF DNA SYNTHESIS AND LIGHT‐MEDIATED INACTIVATION OF CELLS RESPONSIBLE FOR GVHR*. Photochemistry and Photobiology. 34(5). 589–594. 19 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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