C Cerda

1.6k citations
6 papers · 1.2k · 1 hit paper · h-index 6

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Extracellular vesicles in disease

Papers in

C Cerda

6 papers receiving 1.2k citations

C Cerda's Hit Papers

Loss of a mammalian circular RNA locus causes miRNA deregulation and affects brain function 2017 · 979 citations
9790+3+6Years since publication250500750

Peers

C Cerda
Comparison fields: 5 of 78
  • Cancer Research 744
  • Molecular Biology 1.1k
  • Behavioral Neuroscience 38
  • Biological Psychiatry 16
  • Aging 4
Replace Nicholas Van Wittenberghe with:
Nicholas Van Wittenberghe United States
Irina Epstein Germany
Kae M. Pusic United States
Saumeh Saeedi Canada
Avital Gilam Israel
Michael Moreau United States
Pascal Fenske Germany
Julie Russeil Switzerland
Zhou Linglin China
Güney Akbalık Germany
C Cerda relative to Nicholas Van Wittenberghe United States Nicholas Van Wittenberghe's profile →
Citations per field
00.5×7.6×
Nicholas Van Wittenberghe · 1×
Citations per year

Countries citing papers authored by C Cerda

Since Specialization
Citations

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

Fields of papers citing papers by C Cerda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Loss of a mammalian circular RNA locus causes miRNA deregulation and affects brain function
Hit paper breakdown →
2017979
2 201492
3 202360
4 201640
5 202411
6 20176

About C Cerda

C Cerda is a scholar working on Molecular Biology, Cancer Research, Social Psychology, Endocrine and Autonomic Systems and Biological Psychiatry, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (2 papers), Circular RNAs in diseases (2 papers), MicroRNA in disease regulation (2 papers), Stress Responses and Cortisol (1 paper), Hormonal Regulation and Hypertension (1 paper), Plant Molecular Biology Research (1 paper), Sleep and Wakefulness Research (1 paper) and Neuroendocrine regulation and behavior (1 paper). The work is most often cited by research in Cancer Research (744 citations), Molecular Biology (1.1k citations), Behavioral Neuroscience (38 citations), Biological Psychiatry (16 citations) and Aging (4 citations). C Cerda has collaborated with scholars based in Germany, Chile and Italy. Frequent co-authors include Nikolaus Rajewsky, Agnieszka Rybak‐Wolf, Monika Piwecka, Pascal Fenske, Salah Ayoub, Filippos Klironomos, Vera Zywitza, Sebastian Memczak, Luisa Schreyer and Ralf Kühn. Their work appears in journals such as Nature Methods, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Science and EMBO Reports.

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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