Ferhat Alkan

1.0k citations
19 papers · 602 · h-index 11

Impact in

Papers in

    • RNA and protein synthesis mechanisms 11
    • RNA modifications and cancer 8
    • RNA Research and Splicing 6
    • CRISPR and Genetic Engineering 4
    • Bioinformatics and Genomic Networks 3
    • FOXO transcription factor regulation 1
    • Cancer-related molecular mechanisms research 3
    • MicroRNA in disease regulation 2

Ferhat Alkan

19 papers receiving 599 citations

Peers

Ferhat Alkan
Comparison fields: 5 of 83
  • Aging 25
  • Business and International Management 23
  • Molecular Biology 496
  • Cancer Research 93
  • Genetics 65
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Jia Wei China
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Ferhat Alkan relative to Jia Wei China Jia Wei's profile →
Citations per field
00.5×4.6×
Jia Wei · 1×
Citations per year

Countries citing papers authored by Ferhat Alkan

Since Specialization
Citations

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

Fields of papers citing papers by Ferhat Alkan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2018115
2 2016100
3 202079
4 201673
5 202267
6 201352
7 202218
8 202216
9 202215
10 202114
11 201613
12 20159
13 20218
14 20167
15 20227
16 20253
17 20253
18
RIsearch2: suffix array-based large-scale prediction of RNA–RNA interactions and siRNA off-targets
20172
19 20251

About Ferhat Alkan

Ferhat Alkan is a scholar working on Molecular Biology, Cancer Research, Oncology, Biotechnology and Aging, having authored 19 papers that have together received 602 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (8 papers), RNA Research and Splicing (6 papers), CRISPR and Genetic Engineering (4 papers), Bioinformatics and Genomic Networks (3 papers), Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Aging (25 citations), Business and International Management (23 citations), Molecular Biology (496 citations), Cancer Research (93 citations) and Genetics (65 citations). Ferhat Alkan has collaborated with scholars based in Denmark, Netherlands and United Kingdom. Frequent co-authors include Jan Gorodkin, Christian Anthon, Cesim Erten, Anne Wenzel, Jakob H. Havgaard, Yonglun Luo, Xiaoguang Pan, Giulia I. Corsi, Kunli Qu and John van der Oost. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Nature Communications, Molecular Cell and Genome biology.

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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