Fernando Bejarano

825 citations
20 papers · 650 · h-index 14

Impact in

Papers in

    • Developmental Biology and Gene Regulation 7
    • Circular RNAs in diseases 5
    • Genomics and Chromatin Dynamics 4
    • RNA Interference and Gene Delivery 3
    • RNA Research and Splicing 3
    • MicroRNA in disease regulation 7

Fernando Bejarano

19 papers receiving 641 citations

Peers

Fernando Bejarano
Comparison fields: 5 of 65
  • Aging 28
  • Cancer Research 178
  • Molecular Biology 506
  • Cellular and Molecular Neuroscience 89
  • Plant Science 138
Replace Valérie Hilgers with:
Valérie Hilgers Germany
Elizabeth E. Caygill United Kingdom
Inna Biryukova Sweden
Diane Bortolamiol-Bécet United States
Ellen J. Ward United States
Philippa J. Webster United States
Bénédicte Franco Belgium
Jun Wei Pek Singapore
Jan‐Michael Kugler Denmark
Pushpa Verma Singapore
Fernando Bejarano relative to Valérie Hilgers Germany Valérie Hilgers's profile →
Citations per field
00.5×1.5×1.9×
Valérie Hilgers · 1×
Citations per year

Countries citing papers authored by Fernando Bejarano

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Bejarano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2001132
2 201275
3 200968
4 201558
5 201438
6 201436
7 200434
8 200532
9 200830
10 201125
11 200924
12 201122
13 202318
14 200713
15 200912
16 202111
17 201610
18 20139
19 20213
20
Las relaciones peligrosas
19980

About Fernando Bejarano

Fernando Bejarano is a scholar working on Molecular Biology, Cancer Research, Plant Science, Biomaterials and Genetics, having authored 20 papers that have together received 650 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Developmental Biology and Gene Regulation (7 papers), Circular RNAs in diseases (5 papers), Genomics and Chromatin Dynamics (4 papers), Chromosomal and Genetic Variations (4 papers), RNA Interference and Gene Delivery (3 papers), RNA Research and Splicing (3 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Aging (28 citations), Cancer Research (178 citations), Molecular Biology (506 citations), Cellular and Molecular Neuroscience (89 citations) and Plant Science (138 citations). Fernando Bejarano has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Eric C. Lai, Ana Busturia, Peter Smibert, Hua Xin, Shigeru Sakonju, Michael Zavortink, Alan Lloyd, Hong Duan, Marco Milán and Diane Bortolamiol-Bécet. Their work appears in journals such as Developmental Biology, Genetics, RNA, Development and The EMBO Journal.

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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