Anita Gianella

1.3k total citations
18 papers, 921 citations indexed

About

Anita Gianella is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Anita Gianella has authored 18 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Biomedical Engineering and 6 papers in Biomaterials. Recurrent topics in Anita Gianella's work include Nanoparticle-Based Drug Delivery (6 papers), Nanoplatforms for cancer theranostics (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Anita Gianella is often cited by papers focused on Nanoparticle-Based Drug Delivery (6 papers), Nanoplatforms for cancer theranostics (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Anita Gianella collaborates with scholars based in Italy, Netherlands and United States. Anita Gianella's co-authors include Elena Tremoli, Luigi Sironi, Elena Nobili, Paolo Gelosa, Zahi A. Fayad, Willem J. M. Mulder, David P. Cormode, Peter A. Jarzyna, Uliano Guerrini and Arjan W. Griffioen and has published in prestigious journals such as ACS Nano, Biomaterials and Chemical Communications.

In The Last Decade

Anita Gianella

18 papers receiving 906 citations

Peers

Anita Gianella
Comparison fields: 5 of 98
  • Biomaterials 294
  • Molecular Biology 293
  • Biomedical Engineering 280
  • Materials Chemistry 119
  • Surgery 116
Replace Shihai Xia with:
Shihai Xia China
Changsun Kang South Korea
Alexandra Oudot France
Rania Harfouche United States
Kan Wang China
Huiping Lu China
Claudia Koch-Brandt Germany
Davood Beiki Iran
Yoshihisa Namiki Japan
Bo Fan China
Shihai Xia China View profile →
Citations per field, relative to Anita Gianella
Anita Gianella · 1×
Citations per year, relative to Anita Gianella
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Countries citing papers authored by Anita Gianella

Since Specialization
Citations

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

Fields of papers citing papers by Anita Gianella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anita Gianella

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 13
2 86
3 71
4 27
5 153
6 32
7 36
8 18
9 86
10 54
11 3
12 66
13 72
14 63
15 22
16 1
17 65
18 53

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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