Daniel Mailo

972 citations
12 papers · 781 · h-index 10

Impact in

  • Oncology top 10%
    • Cancer Risks and Factors
    • Cancer Cells and Metastasis
    • Global Cancer Incidence and Screening
    • Breast Cancer Treatment Studies

Papers in

    • Cancer Risks and Factors 7
    • Cancer-related Molecular Pathways 2
    • Cancer Cells and Metastasis 1
    • Breast Cancer Treatment Studies 3
    • Cancer Genomics and Diagnostics 1

Daniel Mailo

11 papers receiving 744 citations

Peers

Daniel Mailo
Comparison fields: 5 of 68
  • Oncology 352
  • Cancer Research 145
  • Genetics 170
  • Pathology and Forensic Medicine 73
  • Health, Toxicology and Mutagenesis 50
Replace Shuji Nagasaki with:
Shuji Nagasaki Japan
Nicola Medici Italy
Masakazu Souda Japan
Sejal R. Fox United States
Xiaoting Jiang China
Kathleen Meeke United States
Ranjit Kumar Thirumaran Germany
Douglas F. Easton United Kingdom
Jon K. Sherlock United Kingdom
Sarah L. McLaughlin United States
Daniel Mailo relative to Shuji Nagasaki Japan Shuji Nagasaki's profile →
Citations per field
00.5×2×3.2×
Shuji Nagasaki · 1×
Citations per year

Countries citing papers authored by Daniel Mailo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mailo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Daniel Mailo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Mailo Line = papers co-authored together Daniel Mailo links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2005317
2 2005130
3 200676
4 200662
5 200662
6 200745
7 200642
8 201016
9 200713
10 200710
11 20078
12
Review The protective role of pregnancy in breast cancer
20050

About Daniel Mailo

Daniel Mailo is a scholar working on Oncology, Cancer Research, Genetics, Health, Toxicology and Mutagenesis and Molecular Biology, having authored 12 papers that have together received 781 indexed citations. Recurring topics across this work include Cancer Risks and Factors (7 papers), Estrogen and related hormone effects (5 papers), Breast Cancer Treatment Studies (3 papers), Cancer-related Molecular Pathways (2 papers), Epigenetics and DNA Methylation (1 paper), Gene expression and cancer classification (1 paper), Cancer Genomics and Diagnostics (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Oncology (352 citations), Cancer Research (145 citations), Genetics (170 citations), Pathology and Forensic Medicine (73 citations) and Health, Toxicology and Mutagenesis (50 citations). Daniel Mailo has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include José Russo, Gabriela Balogh, Irma H. Russo, Raquel Moral, Fathima S. Sheriff, Yun‐Fu Hu, Patrícia A. Russo, Coral A. Lamartiniere, Aasia O. Rehman and Federica Perrone. Their work appears in journals such as International Journal of Oncology, Clinical Cancer Research, European Journal of Cancer Prevention, BMC Genomics and Breast Cancer Research.

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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