Silvia Sommaruga

484 citations
13 papers · 413 indexed · h-index 11
Topics
Monoclonal and Polyclonal Antibodies Research (5 papers)Enzyme Structure and Function (5 papers)Glycosylation and Glycoproteins Research (3 papers)
Partner nations
Italy

In The Last Decade

Silvia Sommaruga

13 papers receiving 404 citations

Peers

Silvia Sommaruga
Comparison fields: 5 of 59
  • Molecular Biology 253
  • Biomaterials 119
  • Radiology, Nuclear Medicine and Imaging 97
  • Biomedical Engineering 68
  • Organic Chemistry 65
Replace Xing Q. Pan with:
Xing Q. Pan United States
Wilson Cheng Canada
Yong Yin China
Kentaro Hatanaka Japan
Patrick J. Kennedy Portugal
Martina Tilio Italy
Francesco Mainini Italy
Susan Bogdanowich-Knipp United States
Kenji Yamamoto Japan
Silvia Pavan Italy
Silvia Sommaruga relative to Xing Q. Pan United States Xing Q. Pan's profile →
Citations per field
00.5×2.8×
Xing Q. Pan · 1×
Citations per year

Countries citing papers authored by Silvia Sommaruga

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Sommaruga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Sommaruga

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 14
2 105
3 19
4 68
5 58
6 27
7 10
8 36
9 13
10 18
11 13
12 29
13 3

About Silvia Sommaruga

Silvia Sommaruga is a scholar working on Physiology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 413 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Enzyme Structure and Function (5 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Biomaterials (119 citations), Radiology, Nuclear Medicine and Imaging (97 citations) and Molecular Biology (253 citations). Silvia Sommaruga has collaborated with scholars based in Italy. Frequent co-authors include Davide Prosperi, Serena Mazzucchelli, Paolo Tortora, Fabio Corsi, Miriam Colombo, Patrizia Galeffi, Luisa Fiandra, Michela Bellini, Alessandra Polissi and Elisabetta Galbiati. Their work appears in journals such as Angewandte Chemie International Edition, ACS Nano and Biochemical and Biophysical Research Communications.

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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