Andrea Ferrante

890 total citations
29 papers, 609 citations indexed

About

Andrea Ferrante is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrea Ferrante has authored 29 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 10 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrea Ferrante's work include T-cell and B-cell Immunology (11 papers), Immunotherapy and Immune Responses (10 papers) and Immune Cell Function and Interaction (9 papers). Andrea Ferrante is often cited by papers focused on T-cell and B-cell Immunology (11 papers), Immunotherapy and Immune Responses (10 papers) and Immune Cell Function and Interaction (9 papers). Andrea Ferrante collaborates with scholars based in United States, Italy and Switzerland. Andrea Ferrante's co-authors include Jack Gorski, Giuseppe Parise, Luigi Parise, Luigi Martirano, Chun‐Lien Su, P. Chavdarian, Laurent Malherbe, Candice S. Klug, Christina K. Baumgartner and Matthew W. Anderson and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Andrea Ferrante

28 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Ferrante United States 15 264 219 126 65 64 29 609
Meng Lou China 14 254 1.0× 142 0.6× 181 1.4× 13 0.2× 4 0.1× 35 781
Richard Halpert United States 5 95 0.4× 130 0.6× 17 0.1× 19 0.3× 4 0.1× 7 511
K. Nilsson Sweden 12 58 0.2× 82 0.4× 11 0.1× 14 0.2× 88 1.4× 43 540
Chaewon Park South Korea 19 58 0.2× 283 1.3× 25 0.2× 21 0.3× 5 0.1× 86 972
Yuhua Ma China 13 59 0.2× 136 0.6× 27 0.2× 33 0.5× 9 0.1× 52 507
Jaya Prakash India 21 24 0.1× 118 0.5× 521 4.1× 33 0.5× 8 0.1× 64 1.2k
Ming Yang China 16 133 0.5× 266 1.2× 24 0.2× 60 0.9× 4 0.1× 106 784
Diya Zhang China 12 110 0.4× 180 0.8× 13 0.1× 57 0.9× 2 0.0× 37 563
Yoshiyuki Kanazawa Japan 17 217 0.8× 300 1.4× 59 0.5× 38 0.6× 14 0.2× 31 1.5k

Countries citing papers authored by Andrea Ferrante

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Ferrante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Ferrante

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Ferrante. A scholar is included among the top collaborators of Andrea Ferrante 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 Andrea Ferrante. Andrea Ferrante 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.
Pack, Brian W., Robert W. Siegel, Paul D. Cornwell, et al.. (2025). A Phase-Appropriate Risk Assessment Strategy in Support of the Safety of Peptide and Oligonucleotide-Related Impurities. The AAPS Journal. 27(2). 56–56. 3 indexed citations
2.
Huang, Rong, et al.. (2021). A structure-based engineering approach to abrogate pre-existing antibody binding to biotherapeutics. PLoS ONE. 16(7). e0254944–e0254944. 14 indexed citations
3.
Wen, Yi, Xiaoli Wang, Suntara Cahya, et al.. (2021). Comparability study of monocyte derived dendritic cells, primary monocytes, and THP1 cells for innate immune responses. Journal of Immunological Methods. 498. 113147–113147. 7 indexed citations
4.
Wen, Yi, Xiaoli Wang, Jill A. Willency, et al.. (2020). Post-hoc assessment of the immunogenicity of three antibodies reveals distinct immune stimulatory mechanisms. mAbs. 12(1). 1764829–1764829. 32 indexed citations
5.
Wen, Yi, Suntara Cahya, Wei Zeng, et al.. (2020). Development of a FRET-Based Assay for Analysis of mAbs Internalization and Processing by Dendritic Cells in Preclinical Immunogenicity Risk Assessment. The AAPS Journal. 22(3). 68–68. 18 indexed citations
6.
Castellini, J. Margaret, et al.. (2018). Enhanced quantification of serum immunoglobulin G from a non-model wildlife species, the Steller sea lion (Eumetopias jubatus), using a protein A ELISA. Journal of Immunological Methods. 462. 42–47. 1 indexed citations
7.
Taglietti, Valentina, Giovanni Maroli, Solei Cermenati, et al.. (2016). Nfix Induces a Switch in Sox6 Transcriptional Activity to Regulate MyHC-I Expression in Fetal Muscle. Cell Reports. 17(9). 2354–2366. 33 indexed citations
8.
Ferrante, Andrea, et al.. (2015). The Thermodynamic Mechanism of Peptide–MHC Class II Complex Formation Is a Determinant of Susceptibility to HLA-DM. The Journal of Immunology. 195(3). 1251–1261. 19 indexed citations
9.
Rucco, Matteo, et al.. (2015). Topological classification of small DC motors. Unicam Scientific Publications (University of Camerino). 7. 192–197. 4 indexed citations
10.
Ferrante, Andrea, et al.. (2015). Immune-related gene polymorphisms as risk factors for the development of Factor VIII inhibitors in hemophilia A patients: a sibling-pair association analysis (HUM1P.257). The Journal of Immunology. 194(1_Supplement). 52.6–52.6. 1 indexed citations
11.
Ferrante, Andrea. (2013). Thermodynamics of Peptide-MHC Class II Interactions: Not all Complexes are Created Equal. Frontiers in Immunology. 4. 308–308. 2 indexed citations
12.
Caso, Giuseppe, Luca De Nardis, Andrea Ferrante, & Maria‐Gabriella Di Benedetto. (2013). Cognitive indoor positioning in TV White Spaces. IRIS Research product catalog (Sapienza University of Rome). 1–8.
13.
Ferrante, Andrea, et al.. (2012). Cross-Reactivity of T Cells and Its Role in the Immune System. Critical Reviews in Immunology. 32(4). 349–372. 84 indexed citations
14.
Ferrante, Andrea & Jack Gorski. (2012). Enthalpy–Entropy Compensation and Cooperativity as Thermodynamic Epiphenomena of Structural Flexibility in Ligand–Receptor Interactions. Journal of Molecular Biology. 417(5). 454–467. 44 indexed citations
15.
Ferrante, Andrea. (2012). For many but not for all: how the conformational flexibility of the peptide/MHCII complex shapes epitope selection. Immunologic Research. 56(1). 85–95. 10 indexed citations
16.
Ferrante, Andrea. (2012). HLA‐DM: arbiter conformationis. Immunology. 138(2). 85–92. 8 indexed citations
17.
18.
Baumgartner, Christina K., et al.. (2009). Peptide-MHC Class II Complex Stability Governs CD4 T Cell Clonal Selection. The Journal of Immunology. 184(2). 573–581. 32 indexed citations
19.
Ferrante, Andrea, Matthew W. Anderson, Candice S. Klug, & Jack Gorski. (2008). HLA-DM Mediates Epitope Selection by a “Compare-Exchange” Mechanism when a Potential Peptide Pool Is Available. PLoS ONE. 3(11). e3722–e3722. 25 indexed citations
20.
Nocera, Arcangelo, Augusto Tagliamacco, Raffaele De Palma, et al.. (2004). Cytokine mRNA expression in chronically rejected human renal allografts. Clinical Transplantation. 18(5). 564–570. 15 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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