Karim Rahimi

603 citations
25 papers · 414 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Histone Deacetylase Inhibitors Research
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Protein Degradation and Inhibitors

Papers in

    • Circular RNAs in diseases 7
    • Histone Deacetylase Inhibitors Research 6
    • RNA Interference and Gene Delivery 3
    • Pluripotent Stem Cells Research 2
    • Advanced biosensing and bioanalysis techniques 2
    • CRISPR and Genetic Engineering 2
    • MicroRNA in disease regulation 8
    • Cancer-related molecular mechanisms research 4

Karim Rahimi

25 papers receiving 411 citations

Peers

Karim Rahimi
Comparison fields: 5 of 61
  • Cancer Research 195
  • Molecular Biology 332
  • Oncology 29
  • Biomaterials 15
  • Biotechnology 9
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Citations per field
00.5×3.8×
Minfeng Ying · 1×
Citations per year

Countries citing papers authored by Karim Rahimi

Since Specialization
Citations

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

Fields of papers citing papers by Karim Rahimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202191
2 201945
3 201938
4 202035
5 202231
6 202030
7 202123
8 202118
9 202013
10 200813
11 201912
12 20219
13 20119
14 20217
15 20197
16 20227
17 20245
18 20245
19 20185
20 20233

About Karim Rahimi

Karim Rahimi is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 414 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Cancer-related molecular mechanisms research (4 papers), RNA Interference and Gene Delivery (3 papers), Pluripotent Stem Cells Research (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cancer Research (195 citations), Molecular Biology (332 citations), Oncology (29 citations), Biomaterials (15 citations) and Biotechnology (9 citations). Karim Rahimi has collaborated with scholars based in Denmark, Iran and United States. Frequent co-authors include Jørgen Kjems, Morten T. Venø, Daniel M. Dupont, Mohammad Abdi, Abbas Ahmadi, Samira Mohammadi‐Yeganeh, Fardin Fathi, Akila Mayeda, Rei Yoshimoto and Thomas B. Hansen. Their work appears in journals such as Nature Communications, Life Sciences, iScience, Scientific Reports and PeerJ.

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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