Daniela Fera

576 citations
7 papers · 433 · h-index 7

Impact in

  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Wnt/β-catenin signaling in development and cancer
    • Ubiquitin and proteasome pathways

Papers in

    • RNA and protein synthesis mechanisms 3
    • Gene expression and cancer classification 1
    • Cancer-related Molecular Pathways 3

Daniela Fera

7 papers receiving 424 citations

Peers

Daniela Fera
Comparison fields: 5 of 57
  • Cell Biology 146
  • Molecular Biology 247
  • Cancer Research 38
  • Neurology 35
  • Oncology 55
Replace Elmer Stickel with:
Elmer Stickel Netherlands
David Kachaner Canada
Kristen L. Meerbrey United States
Han Zhong Pei China
Youngkyoung Lim South Korea
Soma Ghosh United States
Mikhail Lomonosov United Kingdom
Miriam Di Re United Kingdom
Chansey J. Veinotte Canada
Fatima Zahra Chakrama France
Daniela Fera relative to Elmer Stickel Netherlands Elmer Stickel's profile →
Citations per field
00.5×
Elmer Stickel · 1×
Citations per year

Countries citing papers authored by Daniela Fera

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Fera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Daniela Fera, 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 Daniela Fera Line = papers co-authored together Daniela Fera links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2011205
2 200467
3 201464
4 200449
5 201226
6 201211
7 198711

About Daniela Fera

Daniela Fera is a scholar working on Molecular Biology, Oncology, Epidemiology, Genetics and Immunology, having authored 7 papers that have together received 433 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Cancer-related Molecular Pathways (3 papers), Cervical Cancer and HPV Research (2 papers), Virus-based gene therapy research (2 papers), interferon and immune responses (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Axon Guidance and Neuronal Signaling (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Cell Biology (146 citations), Molecular Biology (247 citations), Cancer Research (38 citations), Neurology (35 citations) and Oncology (55 citations). Daniela Fera has collaborated with scholars based in United States, Singapore and Sweden. Frequent co-authors include Ronen Marmorstein, Joseph L. Kissil, Scott Troutman, Jacqueline L. Avila, Lars Holmgren, David W. Speicher, Uri Laserson, Julie A. Zorn, Tamar Schlick and Chunling Yi. Their work appears in journals such as ACS Chemical Biology, Biochemistry, Cancer Cell, BMC Bioinformatics and Bioinformatics.

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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