Beste Mutlu

620 citations
9 papers · 440 · h-index 8

Impact in

Papers in

    • Mitochondrial Function and Pathology 3
    • Metabolism, Diabetes, and Cancer 2
    • Epigenetics and DNA Methylation 2
    • Histone Deacetylase Inhibitors Research 1
    • Adipose Tissue and Metabolism 4

Beste Mutlu

9 papers receiving 433 citations

Peers

Beste Mutlu
Comparison fields: 5 of 85
  • Aging 33
  • Computational Theory and Mathematics 107
  • Molecular Medicine 26
  • Molecular Biology 284
  • Pharmacology 29
Replace Martin Würtele with:
Martin Würtele Brazil
Rana Adnan Tahir Pakistan
Qiangwang Fan China
Lucía Herrera-Domínguez United Kingdom
Qun Du United States
Priscilla Masamba South Africa
Monikaben Padariya Poland
Jolanda van Leeuwen Netherlands
Karin Lanthaler United Kingdom
Baohua Zhang China
Beste Mutlu relative to Martin Würtele Brazil Martin Würtele's profile →
Citations per field
00.5×1.5×
Martin Würtele · 1×
Citations per year

Countries citing papers authored by Beste Mutlu

Since Specialization
Citations

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

Fields of papers citing papers by Beste Mutlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2011253
2 202049
3 201846
4 202026
5 201423
6 202318
7 201913
8 202310
9 20242

About Beste Mutlu

Beste Mutlu is a scholar working on Molecular Biology, Physiology, Geriatrics and Gerontology, Aging and Organic Chemistry, having authored 9 papers that have together received 440 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Mitochondrial Function and Pathology (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Epigenetics and DNA Methylation (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cancer, Hypoxia, and Metabolism (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Aging (33 citations), Computational Theory and Mathematics (107 citations), Molecular Medicine (26 citations), Molecular Biology (284 citations) and Pharmacology (29 citations). Beste Mutlu has collaborated with scholars based in United States, Canada and Türkiye. Frequent co-authors include Pere Puigserver, Frederick P. Roth, Corey Nislow, Guri Giaever, Zohar Weinstein, Murat Taşan, Murat Cokol, Chad L. Myers, Yo Suzuki and Mehmet Ercan Nergiz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Metabolism, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, Development and Cell chemical biology.

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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