Emilio Mastriani

427 citations
19 papers · 185 indexed · h-index 7
Topics
Salmonella and Campylobacter epidemiology (3 papers)Genomics and Phylogenetic Studies (3 papers)Machine Learning in Bioinformatics (2 papers)
Partner nations
ChinaCanadaItaly

In The Last Decade

Emilio Mastriani

18 papers receiving 184 citations

Peers

Emilio Mastriani
Comparison fields: 5 of 67
  • Molecular Biology 103
  • Cancer Research 42
  • Food Science 27
  • Infectious Diseases 24
  • Pathology and Forensic Medicine 19
Replace Lorena Leonardelli with:
Lorena Leonardelli Italy
Janaína Luisa Leite Brazil
Thais Fernanda Bartelli Brazil
Weiqiang Yang China
Daniela Michel Switzerland
Wenfang Tang Taiwan
Payel Mondal India
Qin Ou China
Dongfang Wu China
Kevin M. Wernke United States
Emilio Mastriani relative to Lorena Leonardelli Italy Lorena Leonardelli's profile →
Citations per field
00.5×4.8×
Lorena Leonardelli · 1×
Citations per year

Countries citing papers authored by Emilio Mastriani

Since Specialization
Citations

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

Fields of papers citing papers by Emilio Mastriani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilio Mastriani

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 9
5 7
6 3
7 29
8 1
9 25
10 6
11 32
12 5
13 1
14 29
15 6
16 1
17 2
18 25
19 1

About Emilio Mastriani

Emilio Mastriani is a scholar working on Discrete Mathematics and Combinatorics, Reproductive Medicine and Virology, having authored 19 papers that have together received 185 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (3 papers), Genomics and Phylogenetic Studies (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Endocrinology (15 citations), Cancer Research (42 citations) and Modeling and Simulation (7 citations). Emilio Mastriani has collaborated with scholars based in China, Canada and Italy. Frequent co-authors include Francesco Pappalardo, Shu-Lin Liu, Santo Motta, Pier‐Luigi Lollini, Dieter M. Schifferli, Zheng Zeng, Shu‐Lin Liu, Huidi Liu, Yujie Zhou and Randal N. Johnston. Their work appears in journals such as Scientific Reports, BMC Genomics and Frontiers in Oncology.

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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