Francesco Meani

1.1k total citations
18 papers, 212 citations indexed

About

Francesco Meani is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Francesco Meani has authored 18 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Francesco Meani's work include Breast Cancer Treatment Studies (6 papers), Global Cancer Incidence and Screening (3 papers) and Economic and Financial Impacts of Cancer (3 papers). Francesco Meani is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), Global Cancer Incidence and Screening (3 papers) and Economic and Financial Impacts of Cancer (3 papers). Francesco Meani collaborates with scholars based in Italy, Switzerland and United States. Francesco Meani's co-authors include Lance A. Liotta, Claudia Fredolini, Alessandra Luchini, Emanuel F. Petricoin, Olivia Pagani, Begoña Espiña, Caterina Longo, Giacomo Montagna, Alexis Patanarut and Virginia Espina and has published in prestigious journals such as Annals of Surgical Oncology, PROTEOMICS and Nano Research.

In The Last Decade

Francesco Meani

18 papers receiving 205 citations

Peers

Francesco Meani
Comparison fields: 5 of 72
  • Molecular Biology 68
  • Oncology 41
  • Spectroscopy 35
  • Biomedical Engineering 30
  • Cancer Research 29
Replace Soundara Viveka Thangaraj with:
Soundara Viveka Thangaraj India
Huifang Huang China
Xue Shan China
Yuhong Nie China
Claudia Schröder Germany
M Gabryś Poland
Rohini R. Nair India
Yuan Xie China
Jianping Ou China
Austin McHenry United States
Soundara Viveka Thangaraj India View profile →
Citations per field, relative to Francesco Meani
Francesco Meani · 1×
Citations per year, relative to Francesco Meani
Francesco Meani · 1×

Countries citing papers authored by Francesco Meani

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Meani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Meani

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 5
3 1
4 3
5 2
6 14
7 5
8 10
9 8
10 6
11 2
12 12
13 9
14 6
15 21
16 48
17 12
18 47

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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