Fadia Ibrahim

1.6k citations
13 papers · 588 · h-index 10

Impact in

Papers in

    • RNA Research and Splicing 7
    • RNA modifications and cancer 5
    • RNA and protein synthesis mechanisms 3
    • Advanced biosensing and bioanalysis techniques 1
    • Chromosomal and Genetic Variations 3
    • Plant Molecular Biology Research 1

Fadia Ibrahim

13 papers receiving 570 citations

Peers

Fadia Ibrahim
Comparison fields: 5 of 72
  • Biotechnology 123
  • Pharmacology 147
  • Molecular Biology 399
  • Cancer Research 65
  • Plant Science 118
Replace Ya. E. Dunaevsky with:
Ya. E. Dunaevsky Russia
Ignacio Faus Spain
Norbert F. Käufer Germany
Mukti Ojha Switzerland
Chizu Ishii Japan
Kerry Dunse Australia
Eduardo Larriba Spain
Neta Agmon United States
Kathleen DeBoer Australia
J. Richard Ludwig United States
Fadia Ibrahim relative to Ya. E. Dunaevsky Russia Ya. E. Dunaevsky's profile →
Citations per field
00.5×10.5×
Ya. E. Dunaevsky · 1×
Citations per year

Countries citing papers authored by Fadia Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Fadia Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Fadia Ibrahim, 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 Fadia Ibrahim Line = papers co-authored together Fadia Ibrahim links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2005211
2 2010117
3 200670
4 201846
5 202129
6 201329
7 201628
8 201118
9 201016
10 202012
11 20198
12 20193
13
Molecular characterization of RNA interference components in Chlamydomonas: A novel nucleotidyltransferase (MUT68) and a Vasa intronic gene homolog (MUT70)
20091

About Fadia Ibrahim

Fadia Ibrahim is a scholar working on Molecular Biology, Plant Science, Genetics, Neurology and Cancer Research, having authored 13 papers that have together received 588 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (3 papers), Chromosomal and Genetic Variations (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Biotechnology (123 citations), Pharmacology (147 citations), Molecular Biology (399 citations), Cancer Research (65 citations) and Plant Science (118 citations). Fadia Ibrahim has collaborated with scholars based in United States, Czechia and Israel. Frequent co-authors include Heriberto Cerutti, C. Richard Hutchinson, Edward F. DeLong, Christopher D. Reeves, Andreas Schirmer, Zissimos P. Mourelatos, Manolis Maragkakis, Eunjeong Kim, James T. Becker and Panagiotis Alexiou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advances in experimental medicine and biology, Science, Nature Structural & Molecular Biology and Cell 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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