Monica E. Gianolini

1.1k total citations · 1 hit paper
7 papers, 896 citations indexed

About

Monica E. Gianolini is a scholar working on Immunology, Surgery and Virology. According to data from OpenAlex, Monica E. Gianolini has authored 7 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 2 papers in Surgery and 2 papers in Virology. Recurrent topics in Monica E. Gianolini's work include Immune Cell Function and Interaction (5 papers), HIV Research and Treatment (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). Monica E. Gianolini is often cited by papers focused on Immune Cell Function and Interaction (5 papers), HIV Research and Treatment (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). Monica E. Gianolini collaborates with scholars based in Italy, United States and Germany. Monica E. Gianolini's co-authors include Silvia Gregori, Rosa Bacchetta, Marco Andreani, Maria-Grazia Roncarolo, Richard A. Flavell, Leonie Brockmann, Samuel Huber, Filippo Trentini, De’Broski R. Herbert and Paula Licona-Limón and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Immunology.

In The Last Decade

Monica E. Gianolini

7 papers receiving 893 citations

Hit Papers

Coexpression of CD49b and LAG-3 identifies human and mous... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monica E. Gianolini Italy 7 686 238 105 103 73 7 896
Hormas Ghadially United States 16 898 1.3× 280 1.2× 45 0.4× 81 0.8× 64 0.9× 25 1.0k
Erik H. Rozemuller Netherlands 21 747 1.1× 163 0.7× 167 1.6× 165 1.6× 99 1.4× 66 1.1k
Makoto Kondo Japan 14 427 0.6× 230 1.0× 62 0.6× 79 0.8× 50 0.7× 69 798
Dimitra Zotos Australia 13 1.2k 1.7× 180 0.8× 110 1.0× 173 1.7× 63 0.9× 16 1.4k
Piotr Kuśnierczyk Poland 22 1.1k 1.6× 127 0.5× 136 1.3× 158 1.5× 110 1.5× 93 1.4k
Peter Hillsamer United States 7 1.2k 1.8× 254 1.1× 44 0.4× 92 0.9× 72 1.0× 8 1.4k
W Strober United States 13 570 0.8× 152 0.6× 124 1.2× 148 1.4× 59 0.8× 22 875
LoAnn C. Peterson United States 20 345 0.5× 260 1.1× 162 1.5× 143 1.4× 43 0.6× 35 1000
Wendy Jansen Netherlands 13 625 0.9× 139 0.6× 107 1.0× 136 1.3× 28 0.4× 17 918
Sandra Zehentmeier Germany 14 666 1.0× 133 0.6× 200 1.9× 120 1.2× 48 0.7× 19 961

Countries citing papers authored by Monica E. Gianolini

Since Specialization
Citations

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

Fields of papers citing papers by Monica E. Gianolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica E. Gianolini

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

All Works

7 of 7 papers shown
1.
Amodio, Giada, Michela Comi, Daniela Tomasoni, et al.. (2015). HLA-G expression levels influence the tolerogenic activity of human DC-10. Haematologica. 100(4). 548–557. 60 indexed citations
2.
Bacchetta, Rosa, Barbarella Lucarelli, Claudia Sartirana, et al.. (2014). Immunological Outcome in Haploidentical-HSC Transplanted Patients Treated with IL-10-Anergized Donor T Cells. Frontiers in Immunology. 5. 16–16. 108 indexed citations
3.
Andreani, Marco, Monica E. Gianolini, Manuela Testi, et al.. (2014). Mixed chimerism evolution is associated with T regulatory type 1 (Tr1) cells in a β-thalassemic patient after haploidentical haematopoietic stem cell transplantation. PubMed. 5(3-4). 75–79. 13 indexed citations
4.
Gagliani, Nicola, Chiara F. Magnani, Samuel Huber, et al.. (2013). Coexpression of CD49b and LAG-3 identifies human and mouse T regulatory type 1 cells. Nature Medicine. 19(6). 739–746. 607 indexed citations breakdown →
5.
Lin, Yin, Huiyi Miao, Raffaello Cimbro, et al.. (2012). Identification of the platelet-derived chemokine CXCL4/PF-4 as a broad-spectrum HIV-1 inhibitor. Proceedings of the National Academy of Sciences. 109(24). 9569–9574. 77 indexed citations
6.
Mikulak, Joanna, Monica E. Gianolini, Pierre Versmisse, et al.. (2009). Biological and physical characterization of the X4 HIV-1 suppressive factor secreted by LPS-stimulated human macrophages. Virology. 390(1). 37–44. 9 indexed citations
7.
Ferrarini, Marina, Fanny Delfanti, Monica E. Gianolini, et al.. (2008). NF-κB Modulates Sensitivity to Apoptosis, Proinflammatory and Migratory Potential in Short- versus Long-Term Cultured Human γδ Lymphocytes. The Journal of Immunology. 181(9). 5857–5864. 22 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026