Basak Icli

2.4k citations
27 papers · 2.0k · h-index 18

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Wound Healing and Treatments

Papers in

    • Circular RNAs in diseases 10
    • Kruppel-like factors research 4
    • Angiogenesis and VEGF in Cancer 3
    • Cancer-related gene regulation 2
    • MicroRNA in disease regulation 15
    • Cancer-related molecular mechanisms research 9

Basak Icli

27 papers receiving 2.0k citations

Peers

Basak Icli
Comparison fields: 5 of 91
  • Cancer Research 831
  • Rehabilitation 144
  • Molecular Biology 1.1k
  • Immunology 267
  • Genetics 110
Replace Xinghui Sun with:
Xinghui Sun United States
Anna Di Carlo Italy
Akm Khyrul Wara United States
Seema Dangwal Germany
Yu‐Wen Su China
Elisa Araldi United States
Jiahai Shi China
Roger Rezzonico France
Yuk Cheung Chan United States
Catherine E. Winbanks Australia
Basak Icli relative to Xinghui Sun United States Xinghui Sun's profile →
Citations per field
00.5×1.5×
Xinghui Sun · 1×
Citations per year

Countries citing papers authored by Basak Icli

Since Specialization
Citations

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

Fields of papers citing papers by Basak Icli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012404
2 2013253
3 2013184
4 2017151
5 2010134
6 2016115
7 2016107
8 201989
9 200984
10 201473
11 201959
12 202056
13 201143
14 201142
15 201638
16 201737
17 202119
18 201318
19 201217
20 202017

About Basak Icli

Basak Icli is a scholar working on Molecular Biology, Cancer Research, Genetics, Hematology and Immunology, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Circular RNAs in diseases (10 papers), Cancer-related molecular mechanisms research (9 papers), Kruppel-like factors research (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Cancer-related gene regulation (2 papers), Adipose Tissue and Metabolism (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Cancer Research (831 citations), Rehabilitation (144 citations), Molecular Biology (1.1k citations), Immunology (267 citations) and Genetics (110 citations). Basak Icli has collaborated with scholars based in United States, Türkiye and Brazil. Frequent co-authors include Mark W. Feinberg, Xinghui Sun, Akm Khyrul Wara, Nathan Belkin, Shaolin He, Timothy S. Blackwell, Yu Zhang, Rebecca M. Baron, Gary M. Hunninghake and Lester Kobzik. Their work appears in journals such as Blood, The FASEB Journal, Circulation Research, Biochemical and Biophysical Research Communications and Endocrine Reviews.

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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