Giancarlo Croce

627 total citations
11 papers, 290 citations indexed

About

Giancarlo Croce is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Giancarlo Croce has authored 11 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Oncology. Recurrent topics in Giancarlo Croce's work include vaccines and immunoinformatics approaches (6 papers), CAR-T cell therapy research (3 papers) and T-cell and B-cell Immunology (3 papers). Giancarlo Croce is often cited by papers focused on vaccines and immunoinformatics approaches (6 papers), CAR-T cell therapy research (3 papers) and T-cell and B-cell Immunology (3 papers). Giancarlo Croce collaborates with scholars based in Switzerland, France and United States. Giancarlo Croce's co-authors include David Gfeller, Martin Weigt, Alexandre Harari, Julien Schmidt, Maureen Muscat, Juan Rodriguez-Rivas, Sara Bobisse, Raphaël Genolet, Philippe Guillaume and Julien Racle and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Giancarlo Croce

11 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giancarlo Croce Switzerland	8	211	131	77	74	51	11	290
Roy A. Ehling Switzerland	9	284 1.3×	89 0.7×	163 2.1×	56 0.8×	138 2.7×	13	430
Marianna Agudelo United States	4	198 0.9×	130 1.0×	66 0.9×	54 0.7×	197 3.9×	5	419
Derek M. Mason Switzerland	6	220 1.0×	65 0.5×	178 2.3×	50 0.7×	52 1.0×	8	307
Justin Taft United States	9	124 0.6×	157 1.2×	43 0.6×	35 0.5×	113 2.2×	11	340
J.M. Jenson United States	8	198 0.9×	60 0.5×	32 0.4×	25 0.3×	24 0.5×	8	279
Rebecca A. Buonpane United States	10	144 0.7×	158 1.2×	108 1.4×	41 0.6×	121 2.4×	11	370
Cecilia Carnrot Sweden	9	177 0.8×	55 0.4×	51 0.7×	39 0.5×	61 1.2×	10	325
Michal Zdzalik Poland	12	217 1.0×	39 0.3×	21 0.3×	118 1.6×	123 2.4×	12	339
Wai‐Heng Lua Singapore	10	162 0.8×	83 0.6×	182 2.4×	38 0.5×	18 0.4×	14	257
Emilio Fenoy Argentina	5	217 1.0×	119 0.9×	55 0.7×	49 0.7×	15 0.3×	8	254

Countries citing papers authored by Giancarlo Croce

Since Specialization

Citations

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

Fields of papers citing papers by Giancarlo Croce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giancarlo Croce

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

All Works

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11 of 11 papers shown

Croce, Giancarlo, Sara Bobisse, Maiia E. Bragina, et al.. (2025). Phage display enables machine learning discovery of cancer antigen–specific TCRs. Science Advances. 11(24). eads5589–eads5589. 2 indexed citations

Nielsen, Morten, Anne Eugster, Manisha Goel, et al.. (2024). Lessons learned from the IMMREP23 TCR-epitope prediction challenge. SHILAP Revista de lepidopterología. 16. 100045–100045. 14 indexed citations

Croce, Giancarlo, et al.. (2024). Deep learning predictions of TCR-epitope interactions reveal epitope-specific chains in dual alpha T cells. Nature Communications. 15(1). 3211–3211. 39 indexed citations

Racle, Julien, Philippe Guillaume, Julien Schmidt, et al.. (2023). Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopes. Immunity. 56(6). 1359–1375.e13. 65 indexed citations

Gfeller, David, Julien Schmidt, Giancarlo Croce, et al.. (2023). Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopes. Cell Systems. 14(1). 72–83.e5. 59 indexed citations

Rodriguez-Rivas, Juan, Giancarlo Croce, Maureen Muscat, & Martin Weigt. (2022). Epistatic models predict mutable sites in SARS-CoV-2 proteins and epitopes. Proceedings of the National Academy of Sciences. 119(4). 50 indexed citations

Croce, Giancarlo, et al.. (2022). Deciphering polymorphism in 61,157 Escherichia coli genomes via epistatic sequence landscapes. Nature Communications. 13(1). 4030–4030. 10 indexed citations

Wolf, Benita, et al.. (2022). Both APRIL and antibody-fragment-based CAR T cells for myeloma induce BCMA downmodulation by trogocytosis and internalization. Journal for ImmunoTherapy of Cancer. 10(11). e005091–e005091. 24 indexed citations

Muscat, Maureen, et al.. (2020). FilterDCA: Interpretable supervised contact prediction using inter-domain coevolution. PLoS Computational Biology. 16(10). e1007621–e1007621. 6 indexed citations

10.

Croce, Giancarlo, et al.. (2019). A multi-scale coevolutionary approach to predict interactions between protein domains. PLoS Computational Biology. 15(10). e1006891–e1006891. 19 indexed citations

11.

Croce, Giancarlo, et al.. (1989). [Scrub typhus: an imported case seen in Milan].. PubMed. 68(1). 1–4. 2 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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