Atefe Abak

2.0k citations
51 papers · 1.4k · h-index 24

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Extracellular vesicles in disease
    • RNA Research and Splicing
    • RNA Interference and Gene Delivery
    • Epigenetics and DNA Methylation

Papers in

    • Cancer-related molecular mechanisms research 33
    • MicroRNA in disease regulation 26
    • Circular RNAs in diseases 19
    • RNA modifications and cancer 8
    • RNA regulation and disease 4
    • RNA Interference and Gene Delivery 4
    • PI3K/AKT/mTOR signaling in cancer 4

Atefe Abak

50 papers receiving 1.4k citations

Peers

Atefe Abak
Comparison fields: 5 of 101
  • Cancer Research 830
  • Molecular Biology 965
  • Immunology 124
  • Oncology 133
  • Pathology and Forensic Medicine 72
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Atefe Abak

Since Specialization
Citations

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

Fields of papers citing papers by Atefe Abak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021116
2 2021107
3 202072
4 202169
5 201861
6 202056
7 202156
8 202154
9 202152
10 202151
11 202044
12 202144
13 202140
14 202138
15 202137
16 202135
17 202131
18 202131
19 201831
20 202129

About Atefe Abak

Atefe Abak is a scholar working on Cancer Research, Molecular Biology, Oncology, Immunology and Pathology and Forensic Medicine, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (33 papers), MicroRNA in disease regulation (26 papers), Circular RNAs in diseases (19 papers), RNA modifications and cancer (8 papers), Cytokine Signaling Pathways and Interactions (4 papers), RNA regulation and disease (4 papers), RNA Interference and Gene Delivery (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Cancer Research (830 citations), Molecular Biology (965 citations), Immunology (124 citations), Oncology (133 citations) and Pathology and Forensic Medicine (72 citations). Atefe Abak has collaborated with scholars based in Iran, Iraq and Germany. Frequent co-authors include Soudeh Ghafouri‐Fard, Mohammad Taheri, Hamed Shoorei, Bashdar Mahmud Hussen, Alireza Abhari, Jamal Majidpoor, Farhad Tondro Anamag, Abbas Basiri, Mahdi Mohaqiq and Nader Akbari Dilmaghani. Their work appears in journals such as Biomedicine & Pharmacotherapy, Frontiers in Cell and Developmental Biology, Frontiers in Immunology, Frontiers in Oncology and Cancer Cell International.

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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