Francesco Grandoni

523 total citations
46 papers, 387 citations indexed

About

Francesco Grandoni is a scholar working on Agronomy and Crop Science, Immunology and Genetics. According to data from OpenAlex, Francesco Grandoni has authored 46 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Agronomy and Crop Science, 14 papers in Immunology and 11 papers in Genetics. Recurrent topics in Francesco Grandoni's work include Genetic and phenotypic traits in livestock (9 papers), Microbial infections and disease research (6 papers) and Reproductive Physiology in Livestock (6 papers). Francesco Grandoni is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Microbial infections and disease research (6 papers) and Reproductive Physiology in Livestock (6 papers). Francesco Grandoni collaborates with scholars based in Italy, United States and Saudi Arabia. Francesco Grandoni's co-authors include Marco Lucarelli, Roberto Ström, Giovanna De Matteis, Maria Carmela Scatà, Andrea Fuso, Sigfrido Scarpa, Giampiero Ferraguti, G. Catillo, Serena Quattrucci and F. Napolitano and has published in prestigious journals such as Analytical Biochemistry, Frontiers in Immunology and Fertility and Sterility.

In The Last Decade

Francesco Grandoni

42 papers receiving 373 citations

Peers

Francesco Grandoni
Comparison fields: 5 of 65
  • Molecular Biology 106
  • Genetics 105
  • Agronomy and Crop Science 97
  • Pulmonary and Respiratory Medicine 79
  • Immunology 55
Replace Joana R. Lérias with:
Joana R. Lérias Portugal
Mirja Koy Germany
Jason P. Fedwick Canada
Noriyuki HORIUCHI Japan
Katsuji Sawai Japan
Michela Felicetti Italy
D.G. Arthur New Zealand
Alexander Stoll Germany
Kalyani Putty India
G.K. Mbassa Tanzania
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Citations per field, relative to Francesco Grandoni
Francesco Grandoni · 1×
Citations per year, relative to Francesco Grandoni
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Countries citing papers authored by Francesco Grandoni

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Grandoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Grandoni

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Grandoni. A scholar is included among the top collaborators of Francesco Grandoni 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 Francesco Grandoni. Francesco Grandoni 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 0
2 1
3 1
4 2
5 5
6 2
7 4
8 1
9 1
10 14
11 10
12 11
13 6
14 4
15 2
16 20
17 6
18 5
19
Single Nucleotide Polymorphisms Detected and In Silico Analysis of the 5' Flanking Sequence and Exon 1 in the Bubalus bubalis Leptin Gene
1
20 17

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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