Emma De Feo

1.5k total citations · 1 hit paper
25 papers, 963 citations indexed

About

Emma De Feo is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Emma De Feo has authored 25 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Emma De Feo's work include Cancer-related Molecular Pathways (4 papers), Folate and B Vitamins Research (4 papers) and BRCA gene mutations in cancer (2 papers). Emma De Feo is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Folate and B Vitamins Research (4 papers) and BRCA gene mutations in cancer (2 papers). Emma De Feo collaborates with scholars based in Italy, Japan and United States. Emma De Feo's co-authors include Stefania Boccia, Walter Ricciardi, Corrado De Vito, Claudio Angeloni, Paolo Villari, Amedeo Lattanzi, Carolina Marzuillo, P. Gallì, Cornelia M. van Duijn and Dario Arzani and has published in prestigious journals such as BioMed Research International, BMC Medicine and Cancer Epidemiology Biomarkers & Prevention.

In The Last Decade

Emma De Feo

23 papers receiving 945 citations

Hit Papers

A Large Cross-Sectional Survey Investigating the Knowledg... 2014 2026 2018 2022 2014 100 200 300

Peers

Emma De Feo
Comparison fields: 5 of 150
  • Molecular Biology 345
  • Oncology 164
  • Surgery 140
  • Epidemiology 111
  • Pathology and Forensic Medicine 104
Replace Kyoung Jin Kim with:
Kyoung Jin Kim South Korea
Haissam Abou-Saleh Qatar
Zhiqi Wang China
Tomohiro Matsuo Japan
Mohamed Ali Egypt
Zheng Lu China
André Ducati Luchessi Brazil
�. Tan United Kingdom
Kyoung Jin Kim South Korea View profile →
Citations per field, relative to Emma De Feo
Emma De Feo · 1×
Citations per year, relative to Emma De Feo
Emma De Feo · 1×

Countries citing papers authored by Emma De Feo

Since Specialization
Citations

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

Fields of papers citing papers by Emma De Feo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma De Feo. 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 Emma De Feo. The network helps show where Emma De Feo may publish in the future.

Co-authorship network of co-authors of Emma De Feo

This figure shows the co-authorship network connecting the top 25 collaborators of Emma De Feo. A scholar is included among the top collaborators of Emma De Feo 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 Emma De Feo. Emma De Feo 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 8
2
A Large Cross-Sectional Survey Investigating the Knowledge of Cervical Cancer Risk Aetiology and the Predictors of the Adherence to Cervical Cancer Screening Related to Mass Media Campaign breakdown →
385
3 19
4 4
5 24
6 19
7 7
8 21
9
A meta- and pooled analysis of the literature on the association between factor V Leiden, prothrombin G20210A and methylentetrahydrofolate reductase C677T variants, their interaction with lifestyle factors, and risk of venous trhomboembolism
0
10 6
11 4
12 26
13 32
14 9
15 36
16 38
17
ALDH2 and Head and Neck Cancer: a Meta-analysis implementing a Mendelian Randomization approach
1
18 50
19 13
20 99

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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