Ulkar Aghayeva
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
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- Advanced biosensing and bioanalysis techniques 1
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
- Co-authors
- Oliver Hobert (5 shared papers)Abhishek Bhattacharya (4 shared papers)Emily G. Berghoff (1 shared paper)Sergey M. Deyev (5 shared papers)Maxim P. Nikitin (5 shared papers)Myungin Bæk (1 shared paper)HaoSheng Sun (1 shared paper)Chen Wang (1 shared paper)
- Journals
- PLoS Biology (2 papers)Data in Brief (1 paper)Genetics (1 paper)Journal of Magnetism and Magnetic Materials (1 paper)ACS Nano (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Ulkar Aghayeva
11 papers receiving 396 citations
Peers
Comparison fields: 5 of 70
- Aging 197
- Endocrine and Autonomic Systems 120
- Cellular and Molecular Neuroscience 124
- Sensory Systems 12
- Molecular Biology 168
Countries citing papers authored by Ulkar Aghayeva
This map shows the geographic impact of Ulkar Aghayeva'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 Ulkar Aghayeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulkar Aghayeva more than expected).
Fields of papers citing papers by Ulkar Aghayeva
This network shows the impact of papers produced by Ulkar Aghayeva. 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 Ulkar Aghayeva. The network helps show where Ulkar Aghayeva may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulkar Aghayeva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 110 | |
| 2 | 2018 | 70 | |
| 3 | 2015 | 58 | |
| 4 | 2017 | 45 | |
| 5 | 2013 | 32 | |
| 6 | 2018 | 24 | |
| 7 | 2021 | 22 | |
| 8 | 2018 | 20 | |
| 9 | 2020 | 15 | |
| 10 | 2018 | 3 | |
| 11 | 2012 | 1 |
About Ulkar Aghayeva
Ulkar Aghayeva is a scholar working on Molecular Biology, Aging, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Ecology, having authored 11 papers that have together received 400 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Circadian rhythm and melatonin (4 papers), Bacteriophages and microbial interactions (3 papers), Neurobiology and Insect Physiology Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Gold and Silver Nanoparticles Synthesis and Applications (1 paper), Polymer Surface Interaction Studies (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Aging (197 citations), Endocrine and Autonomic Systems (120 citations), Cellular and Molecular Neuroscience (124 citations), Sensory Systems (12 citations) and Molecular Biology (168 citations). Ulkar Aghayeva has collaborated with scholars based in United States and Russia. Frequent co-authors include Oliver Hobert, Abhishek Bhattacharya, Emily G. Berghoff, Sergey M. Deyev, Maxim P. Nikitin, Myungin Bæk, HaoSheng Sun, Chen Wang, Lori Glenwinkel and Emily A. Bayer. Their work appears in journals such as PLoS Biology, Data in Brief, Genetics, Journal of Magnetism and Magnetic Materials and ACS Nano.
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.