Beste Turanlı

1.1k citations
33 papers · 737 indexed · h-index 16
Topics
Computational Drug Discovery Methods (10 papers)Bioinformatics and Genomic Networks (10 papers)Ferroptosis and cancer prognosis (5 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsArchives of Biochemistry and Biophysics

In The Last Decade

Beste Turanlı

32 papers receiving 729 citations

Peers

Beste Turanlı
Comparison fields: 5 of 91
  • Molecular Biology 500
  • Cancer Research 141
  • Pulmonary and Respiratory Medicine 138
  • Computational Theory and Mathematics 133
  • Oncology 107
Replace Aparna Gorthi with:
Aparna Gorthi United States
Esra Göv Türkiye
Laleh Soltan Ghoraie Canada
Kübra Karagoz United States
Nicolas Borisov Russia
Marina Bessarabova United States
Justin K. Huang United States
Vidula Sukhatme United States
Anders Riutta United States
Beste Turanlı relative to Aparna Gorthi United States Aparna Gorthi's profile →
Citations per field
00.5×1.5×
Aparna Gorthi · 1×
Citations per year

Countries citing papers authored by Beste Turanlı

Since Specialization
Citations

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

Fields of papers citing papers by Beste Turanlı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beste Turanlı

This figure shows the co-authorship network connecting the top 25 collaborators of Beste Turanlı. A scholar is included among the top collaborators of Beste Turanlı 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 Beste Turanlı. Beste Turanlı is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 4
4 4
5 3
6 2
7 5
8 2
9 17
10 4
11 2
12 16
13 9
14 32
15 52
16 64
17 36
18 55
19 90
20 19

About Beste Turanlı

Beste Turanlı is a scholar working on Computational Theory and Mathematics, Cancer Research and Molecular Biology, having authored 33 papers that have together received 737 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Bioinformatics and Genomic Networks (10 papers) and Ferroptosis and cancer prognosis (5 papers). The work is most often cited by research in Cancer Research (141 citations), Computational Theory and Mathematics (133 citations) and Molecular Biology (500 citations). Beste Turanlı has collaborated with scholars based in Türkiye, Sweden and United States. Frequent co-authors include Kazım Yalçın Arğa, Gizem Gülfidan, Adil Mardinoğlu, Mathias Uhlén, Raghu Sinha, Tania Islam, Jan Borén, Esra Göv, Jens Nielsen and Md Rezanur Rahman. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Archives of Biochemistry and Biophysics.

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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