Serena Leone

1.8k citations
57 papers · 1.2k indexed · h-index 20
Topics
Carbohydrate Chemistry and Synthesis (8 papers)Biochemical Analysis and Sensing Techniques (8 papers)Glycosylation and Glycoproteins Research (6 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
ItalyRussiaUnited States

In The Last Decade

Serena Leone

55 papers receiving 1.2k citations

Peers

Serena Leone
Comparison fields: 5 of 118
  • Molecular Biology 473
  • Nutrition and Dietetics 467
  • Food Science 196
  • Genetics 182
  • Epidemiology 161
Replace Mysore V. Tejesvi with:
Mysore V. Tejesvi Finland
Vicki Strugala United Kingdom
Chiara Pagliuca Italy
Marcin Schmidt Poland
Mingchun Li China
Chenchen Zhang China
Yuan Zhou China
Christopher L. Joannou United Kingdom
Anthony Cornish Canada
R Weill Argentina
Serena Leone relative to Mysore V. Tejesvi Finland Mysore V. Tejesvi's profile →
Citations per field
00.5×4.1×
Mysore V. Tejesvi · 1×
Citations per year

Countries citing papers authored by Serena Leone

Since Specialization
Citations

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

Fields of papers citing papers by Serena Leone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Leone

This figure shows the co-authorship network connecting the top 25 collaborators of Serena Leone. A scholar is included among the top collaborators of Serena Leone 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 Serena Leone. Serena Leone 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
#WorkIndexed citations
1 0
2 0
3 9
4 6
5 3
6 5
7 5
8 5
9 13
10 30
11 36
12 219
13 10
14 26
15 17
16 18
17 32
18 3
19 15
20 19

About Serena Leone

Serena Leone is a scholar working on Nutrition and Dietetics, Food Science and Biotechnology, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (8 papers), Biochemical Analysis and Sensing Techniques (8 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Nutrition and Dietetics (467 citations), Food Science (196 citations) and Biotechnology (83 citations). Serena Leone has collaborated with scholars based in Italy, Russia and United States. Frequent co-authors include David S. Newburg, Yingying He, Delia Picone, Rosa Lanzetta, Michelangelo Parrilli, Antonio Molinaro, Shubai Liu, Shirong Liu, Nathan Lawlor and Yi Huang. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

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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