Sonia Nemolato

2.0k total citations
68 papers, 1.5k citations indexed

About

Sonia Nemolato is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Sonia Nemolato has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Oncology and 13 papers in Cell Biology. Recurrent topics in Sonia Nemolato's work include Cellular Mechanics and Interactions (13 papers), Renal and related cancers (12 papers) and Salivary Gland Disorders and Functions (9 papers). Sonia Nemolato is often cited by papers focused on Cellular Mechanics and Interactions (13 papers), Renal and related cancers (12 papers) and Salivary Gland Disorders and Functions (9 papers). Sonia Nemolato collaborates with scholars based in Italy, Belgium and Greece. Sonia Nemolato's co-authors include Gavino Faa, Daniela Fanni, Clara Gerosa, Tiziana Cabras, Valeria Marina Nurchi, Irene Messana, Massimo Castagnola, Guido Crisponi, Vassilios Fanos and Peter Van Eyken and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Coordination Chemistry Reviews.

In The Last Decade

Sonia Nemolato

66 papers receiving 1.5k citations

Peers

Sonia Nemolato
Comparison fields: 5 of 119
  • Molecular Biology 518
  • Physiology 267
  • Oncology 237
  • Nutrition and Dietetics 192
  • Pediatrics, Perinatology and Child Health 191
Replace Daniela Fanni with:
Daniela Fanni Italy
Ewa Jabłońska Poland
Samuel T. Test United States
Per Hultman Sweden
Paulo Filipe Portugal
Amol Gadbail India
Edward Sanders United States
Kaori Murakami Japan
T. Ross Eccleshall United States
Shih‐Meng Tsai Taiwan
Daniela Fanni Italy View profile →
Citations per field, relative to Sonia Nemolato
Sonia Nemolato · 1×
Citations per year, relative to Sonia Nemolato
Sonia Nemolato · 1×

Countries citing papers authored by Sonia Nemolato

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Nemolato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Nemolato

This figure shows the co-authorship network connecting the top 25 collaborators of Sonia Nemolato. A scholar is included among the top collaborators of Sonia Nemolato 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 Sonia Nemolato. Sonia Nemolato 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 2
2 0
3 1
4 5
5 7
6 5
7 3
8 2
9 4
10 1
11 1
12 40
13 9
14 6
15 10
16 31
17 4
18 23
19 15
20 21

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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