Seçil Ak

406 citations
15 papers · 325 indexed · h-index 11

Impact in

Papers in

    • Circular RNAs in diseases 2
    • Colorectal Cancer Treatments and Studies 2
    • Cancer Cells and Metastasis 2
    • HER2/EGFR in Cancer Research 2
    • Pancreatic and Hepatic Oncology Research 2

Seçil Ak

15 papers receiving 321 citations

Peers

Seçil Ak
Comparison fields: 5 of 57
  • Cancer Research 124
  • Applied Microbiology and Biotechnology 6
  • Infectious Diseases 47
  • Molecular Biology 168
  • Pathology and Forensic Medicine 40
Replace Xiaotong Kong with:
Xiaotong Kong China
Milton Roy India
Kazuo Umezawa Japan
Wei Tong China
Zhonghua Wang United States
Kevin J. Tam Canada
Takashi Tsuchida Japan
Balawant Kumar United States
Gudrun Scherer Germany
Seçil Ak relative to Xiaotong Kong China Xiaotong Kong's profile →
Citations per field
00.5×10.3×
Xiaotong Kong · 1×
Citations per year

Countries citing papers authored by Seçil Ak

Since Specialization
Citations

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

Fields of papers citing papers by Seçil Ak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201256
2 201353
3 201545
4 201427
5
Circulating miR-195 as a Therapeutic Biomarker in Turkish Breast Cancer Patients.
201623
6 201419
7 201619
8 201615
9 201215
10 201412
11 201211
12 201610
13 20169
14 20139
15 20162

About Seçil Ak

Seçil Ak is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Epidemiology, having authored 15 papers that have together received 325 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Colorectal Cancer Treatments and Studies (2 papers), Cancer Cells and Metastasis (2 papers), HER2/EGFR in Cancer Research (2 papers), BRCA gene mutations in cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Circular RNAs in diseases (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Cancer Research (124 citations), Applied Microbiology and Biotechnology (6 citations), Infectious Diseases (47 citations), Molecular Biology (168 citations) and Pathology and Forensic Medicine (40 citations). Seçil Ak has collaborated with scholars based in Türkiye. Frequent co-authors include Berrin Tunca, Ünal Egelí, Gülçin Tezcan, Gülşah Çeçener, Türkkan Evrensel, Ömer Yerci, Ersin Öztürk, Tuncay Yılmazlar, İsmet Taşdelen and Hulusi Malyer. Their work appears in journals such as Journal of Surgical Research, Journal of Cancer Research and Clinical Oncology, Clinical Neurology and Neurosurgery, Gene and Pancreatology.

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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