Francesca Garofalo

403 citations
21 papers · 312 indexed · h-index 10
Topics
Identification and Quantification in Food (4 papers)Milk Quality and Mastitis in Dairy Cows (4 papers)Cancer-related Molecular Pathways (3 papers)
Journals
Genes & DevelopmentSHILAP Revista de lepidopterologíaOncogene
Partner nations
ItalyUnited StatesCanada

In The Last Decade

Francesca Garofalo

21 papers receiving 310 citations

Peers

Francesca Garofalo
Comparison fields: 5 of 81
  • Molecular Biology 164
  • Oncology 90
  • Cancer Research 36
  • Cell Biology 32
  • Food Science 28
Replace Russell E. McDaniel with:
Russell E. McDaniel United States
Tong Xu China
Juan Carlos Flores-Alonso Mexico
Jinbao Chen China
Syed Qasim Raza Pakistan
Dazhi Tang China
Hae Seon Nam South Korea
In Seok Yang South Korea
Yeojin Hong South Korea
Irfan Shaukat Pakistan
Francesca Garofalo relative to Russell E. McDaniel United States Russell E. McDaniel's profile →
Citations per field
00.5×1.5×2.3×
Russell E. McDaniel · 1×
Citations per year

Countries citing papers authored by Francesca Garofalo

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Garofalo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Garofalo

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Garofalo. A scholar is included among the top collaborators of Francesca Garofalo 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 Francesca Garofalo. Francesca Garofalo 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 1
2 4
3 1
4 1
5 6
6 12
7 1
8 6
9 18
10 14
11 27
12 15
13 7
14 14
15 22
16 117
17
Antimicrobial resistance in pathogens causing mastitis.
1
18 16
19 27
20
Direct DNA analysis in a new Italian carrier of Hb-Belfast: beta 15 (A12) Trp-->Arg.
1

About Francesca Garofalo

Francesca Garofalo is a scholar working on Agronomy and Crop Science, Microbiology and Animal Science and Zoology, having authored 21 papers that have together received 312 indexed citations. Recurring topics across this work include Identification and Quantification in Food (4 papers), Milk Quality and Mastitis in Dairy Cows (4 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Oncology (90 citations), Biochemistry (16 citations) and Agronomy and Crop Science (27 citations). Francesca Garofalo has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Yang Yang‐Hartwich, Gil Mor, Ayesha B. Alvero, Natália J. Sumi, Jennie C. Holmberg, Z. Ping Lin, Mengmeng Liang, Vinicius Craveiro, Ahmed El‐Sohemy and David J.A. Jenkins. Their work appears in journals such as Genes & Development, SHILAP Revista de lepidopterología and Oncogene.

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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