Huban Kutay

4.5k citations
19 papers · 1.9k indexed · 1 hit paper · h-index 15
Topics
MicroRNA in disease regulation (8 papers)Protein Tyrosine Phosphatases (4 papers)Circular RNAs in diseases (4 papers)

In The Last Decade

Huban Kutay

18 papers receiving 1.8k citations

Hit Papers

Essential metabolic, anti-inflammatory, and anti-tumorige...20122026201620212012200400600

Peers

Huban Kutay
Comparison fields: 5 of 98
  • Molecular Biology 1.3k
  • Cancer Research 1.2k
  • Epidemiology 336
  • Hepatology 226
  • Oncology 145
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Beifang Ning China
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Thomas Amann Germany
Ge‐Liang Xu China
Steve F. Bronk United States
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Aki Pui‐Wah Tse Hong Kong
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Citations per field
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Countries citing papers authored by Huban Kutay

Since Specialization
Citations

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

Fields of papers citing papers by Huban Kutay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huban Kutay

This figure shows the co-authorship network connecting the top 25 collaborators of Huban Kutay. A scholar is included among the top collaborators of Huban Kutay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huban Kutay. Huban Kutay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 40
2 27
3 66
4 97
5 26
6
Essential metabolic, anti-inflammatory, and anti-tumorigenic functions of miR-122 in liverbreakdown →
623
7 20
8 19
9 22
10 264
11 411
12
Learning Styles and Culture
5
13 38
14 109
15 53
16
A comparative study about learning styles preferences of two cultures
3
17 41
18
Molecular mechanism of decitabine -induced degradation of DNA methyltransferase 1 (DNMT1) in cancer cells
12
19
The Changing Face of Biology 101 with Regard to the Nation's Science Standards.
0

About Huban Kutay

Huban Kutay is a scholar working on Cancer Research, Genetics and Molecular Biology, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Protein Tyrosine Phosphatases (4 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Cancer Research (1.2k citations), Hepatology (226 citations) and Molecular Biology (1.3k citations). Huban Kutay has collaborated with scholars based in United States, Belgium and Taiwan. Frequent co-authors include Kalpana Ghoshal, Bo Wang, Samson T. Jacob, Shu‐Hao Hsu, Shoumei Bai, Jharna Datta, Gerard J. Nuovo, Sarmila Majumder, Jianhua Yu and Arti Yadav. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

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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