Caterina Lapenta

2.5k total citations · 1 hit paper
38 papers, 2.0k citations indexed

About

Caterina Lapenta is a scholar working on Immunology, Virology and Oncology. According to data from OpenAlex, Caterina Lapenta has authored 38 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 12 papers in Virology and 9 papers in Oncology. Recurrent topics in Caterina Lapenta's work include Immunotherapy and Immune Responses (21 papers), Immune Cell Function and Interaction (15 papers) and T-cell and B-cell Immunology (13 papers). Caterina Lapenta is often cited by papers focused on Immunotherapy and Immune Responses (21 papers), Immune Cell Function and Interaction (15 papers) and T-cell and B-cell Immunology (13 papers). Caterina Lapenta collaborates with scholars based in Italy, United States and Australia. Caterina Lapenta's co-authors include Stefano M. Santini, Filippo Belardelli, Mariantonia Logozzi, Massimo Spada, Stefania Parlato, Tiziana Di Pucchio, Stefano Fais, Simona Donati, Maria Ferrantini and Francesca Spadaro and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

In The Last Decade

Caterina Lapenta

37 papers receiving 1.9k citations

Hit Papers

Type I Interferon as a Powerful Adjuvant for Monocyte-Der... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers

Caterina Lapenta
Comparison fields: 5 of 86
  • Immunology 1.5k
  • Oncology 498
  • Virology 373
  • Molecular Biology 360
  • Epidemiology 273
Replace Stefano M. Santini with:
Stefano M. Santini Italy
Paul Domanski United States
Marika Guercio United States
RC Gallo United States
Heather Donaghy Australia
Denis Hudrisier France
Melissa Precopio United States
Linda Tan United Kingdom
Sofía Casares United States
Anna‐Lena Spetz Sweden
Stefano M. Santini Italy View profile →
Citations per field, relative to Caterina Lapenta
Caterina Lapenta · 1×
Citations per year, relative to Caterina Lapenta
Caterina Lapenta · 1×

Countries citing papers authored by Caterina Lapenta

Since Specialization
Citations

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

Fields of papers citing papers by Caterina Lapenta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caterina Lapenta

This figure shows the co-authorship network connecting the top 25 collaborators of Caterina Lapenta. A scholar is included among the top collaborators of Caterina Lapenta 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 Caterina Lapenta. Caterina Lapenta 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
# Work Indexed citations
1 0
2 7
3 17
4 10
5 15
6 20
7 57
8 16
9 38
10 31
11 49
12 4
13 13
14 22
15 68
16 37
17 8
18 42
19 89
20 16

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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