Daria Merkurjev
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 2
- Media Technology top 1%
- Molecular Biology top 5%
- RNA Research and Splicing 11
- Genomics and Chromatin Dynamics 10
- RNA and protein synthesis mechanisms 4
- Mitochondrial Function and Pathology 3
- Protein Degradation and Inhibitors 3
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
- Genetics top 10%
- Co-authors
- Michael G. RosenfeldKenneth A. OhgiWenbo LiBogdan TanasăJie ZhangQi MaSoohwan OhM. M. Strait
- Partner nations
- United StatesChinaCzechia
In The Last Decade
Daria Merkurjev
24 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cancer Research 964
- Media Technology 344
- Molecular Biology 2.0k
- Computer Vision and Pattern Recognition 261
- Genetics 217
Countries citing papers authored by Daria Merkurjev
This map shows the geographic impact of Daria Merkurjev'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 Daria Merkurjev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daria Merkurjev more than expected).
Fields of papers citing papers by Daria Merkurjev
This network shows the impact of papers produced by Daria Merkurjev. 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 Daria Merkurjev. The network helps show where Daria Merkurjev may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daria Merkurjev, 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 | 2025 | 2 | |
| 2 | 2022 | 4 | |
| 3 | 2021 | 4 | |
| 4 | 2020 | 8 | |
| 5 | 2020 | 6 | |
| 6 | 2020 | 26 | |
| 7 | 2019 | 29 | |
| 8 | 2018 | 170 | |
| 9 | 2018 | 29 | |
| 10 | 2018 | 34 | |
| 11 | 2017 | 38 | |
| 12 | 2016 | 18 | |
| 13 | 2015 | 120 | |
| 14 | 2015 | 85 | |
| 15 | 2015 | 23 | |
| 16 | 2015 | 16 | |
| 17 | 2014 | 153 | |
| 18 | 2014 | 92 | |
| 19 | Functional roles of enhancer RNAs for oestrogen-dependent transcriptional activationbreakdown → | 2013 | 755 |
| 20 | lncRNA-dependent mechanisms of androgen-receptor-regulated gene activation programsbreakdown → | 2013 | 520 |
About Daria Merkurjev
Daria Merkurjev is a scholar working on Molecular Biology, Cancer Research and Immunology and Allergy, having authored 24 papers that have together received 2.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (11 papers), Genomics and Chromatin Dynamics (10 papers), RNA and protein synthesis mechanisms (4 papers), Mitochondrial Function and Pathology (3 papers), Protein Degradation and Inhibitors (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (964 citations), Media Technology (344 citations) and Molecular Biology (2.0k citations). Daria Merkurjev has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Michael G. Rosenfeld, Kenneth A. Ohgi, Wenbo Li, Bogdan Tanasă, Jie Zhang, Qi Ma, Soohwan Oh, M. M. Strait, Xiaoyuan Song and Michael Moeller. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.