Francesca Riva

72 papers receiving 1.1k citations

Peers

Francesca Riva
Comparison fields: 5 of 108
  • Biochemistry 289
  • Clinical Biochemistry 111
  • Polymers and Plastics 148
  • Molecular Biology 598
  • Cell Biology 138
Replace Rong Liang with:
Rong Liang China
Volker Döring Germany
Aamir Ahmed United Kingdom
Wolfgang Rödl Germany
Hirofumi Yamaguchi Japan
Ioannis Constantinidis United States
Huiqing Cao China
Carmen Gherasim United States
Rothwelle J. Tate United Kingdom
Laura Segatori United States
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Citations per field
00.5×6.9×
Rong Liang · 1×
Citations per year

Countries citing papers authored by Francesca Riva

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Francesca Riva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesca Riva Line = papers co-authored together Francesca Riva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967260
2 197587
3 198579
4 196778
5 196570
6 198541
7 198836
8 199835
9 199130
10 196427
11 198425
12 199324
13 198720
14 198519
15 200119
16
Fine structure of excretory ducts of human salivary glands.
199019
17 196717
18 200017
19
Cytoskeletal regulation of human salivary secretion studied by high resolution electron microscopy and confocal laser microscopy.
199817
20 197215

About Francesca Riva

Francesca Riva is a scholar working on Molecular Biology, Physiology, Biochemistry, Materials Chemistry and Polymers and Plastics, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (16 papers), Enzyme Structure and Function (12 papers), Amino Acid Enzymes and Metabolism (11 papers), Salivary Gland Tumors Diagnosis and Treatment (8 papers), Polymer crystallization and properties (7 papers), Synthesis and properties of polymers (6 papers), Biochemical and Molecular Research (6 papers) and Polymer Nanocomposites and Properties (5 papers). The work is most often cited by research in Biochemistry (289 citations), Clinical Biochemistry (111 citations), Polymers and Plastics (148 citations), Molecular Biology (598 citations) and Cell Biology (138 citations). Francesca Riva has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include P. Fasella, C Turano, Marino Martinez‐Carrion, A. Giartosio, Francesco Bossa, A Riva, Emilia Chiancone, E. Martuscelli, Alessandro Riva and Clara Silvestre. Their work appears in journals such as Journal of Materials Science, Biochemical and Biophysical Research Communications, Polymer, Journal of Biological Chemistry and European Journal of Biochemistry.

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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