Berta Canal

620 citations
12 papers · 307 · h-index 9

Impact in

Papers in

    • DNA Repair Mechanisms 7
    • Genomics and Chromatin Dynamics 3
    • Fungal and yeast genetics research 3
    • RNA modifications and cancer 2
    • SARS-CoV-2 and COVID-19 Research 5
    • Viral gastroenteritis research and epidemiology 3

Berta Canal

12 papers receiving 305 citations

Peers

Berta Canal
Comparison fields: 5 of 54
  • Infectious Diseases 144
  • Computational Theory and Mathematics 68
  • Molecular Biology 172
  • Cell Biology 26
  • Complementary and alternative medicine 12
Replace Yuzhi Liu with:
Yuzhi Liu China
Hasan Vatandaslar Switzerland
Guangbo Yang China
Meredith N. Frazier United States
John Tsu‐An Hsu Taiwan
Lucas Dillard United States
Monikaben Padariya Poland
Prabin Baral United States
Vlad Nicolaescu United States
Muya Xiong China
Berta Canal relative to Yuzhi Liu China Yuzhi Liu's profile →
Citations per field
00.5×3.3×
Yuzhi Liu · 1×
Citations per year

Countries citing papers authored by Berta Canal

Since Specialization
Citations

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

Fields of papers citing papers by Berta Canal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Berta Canal, 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 Berta Canal Line = papers co-authored together Berta Canal links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 202154
2 202150
3 202142
4 202132
5 201732
6 202129
7 201827
8 202322
9 202211
10 20254
11 20252
12 20182

About Berta Canal

Berta Canal is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Cardiology and Cardiovascular Medicine and Computational Theory and Mathematics, having authored 12 papers that have together received 307 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Genomics and Chromatin Dynamics (3 papers), Fungal and yeast genetics research (3 papers), Viral gastroenteritis research and epidemiology (3 papers), RNA modifications and cancer (2 papers), PARP inhibition in cancer therapy (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Infectious Diseases (144 citations), Computational Theory and Mathematics (68 citations), Molecular Biology (172 citations), Cell Biology (26 citations) and Complementary and alternative medicine (12 citations). Berta Canal has collaborated with scholars based in United Kingdom, Spain and Taiwan. Frequent co-authors include John F.X. Diffley, Lucy S. Drury, Michael Howell, Mary Wu, Jingkun Zeng, Rupert Beale, Rachel Ulferts, Florian Weissmann, Agustina P. Bertolin and Karim Labib. Their work appears in journals such as Biochemical Journal, Molecular Cell, Nature Communications, Cell and DNA repair.

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.

Explore authors with similar magnitude of impact