Dmitriy Skvortsov
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Insect Science top 10%
- Insect Utilization and Effects
Papers in
-
- Gene expression and cancer classification 3
- Advanced Biosensing Techniques and Applications 2
- Advanced biosensing and bioanalysis techniques 1
- Single-cell and spatial transcriptomics 1
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Co-authors
- Diana Abdueva (6 shared papers)Simon Tavaré (6 shared papers)Gary N. Landis (3 shared papers)John Tower (3 shared papers)Junsheng Yang (1 shared paper)Christina Curtis (3 shared papers)Daniel Ford (1 shared paper)Timothy J. Bradley (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Genome biology (1 paper)Aging (1 paper)Proceedings of the National Academy of Sciences (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Dmitriy Skvortsov
6 papers receiving 526 citations
Peers
Comparison fields: 5 of 73
- Aging 255
- Insect Science 79
- Cellular and Molecular Neuroscience 105
- Endocrine and Autonomic Systems 37
- Immunology 88
Countries citing papers authored by Dmitriy Skvortsov
This map shows the geographic impact of Dmitriy Skvortsov'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 Dmitriy Skvortsov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitriy Skvortsov more than expected).
Fields of papers citing papers by Dmitriy Skvortsov
This network shows the impact of papers produced by Dmitriy Skvortsov. 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 Dmitriy Skvortsov. The network helps show where Dmitriy Skvortsov may publish in the future.
Co-authors
The 15 scholars most cited alongside Dmitriy Skvortsov, 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 | 2004 | 309 | |
| 2 | 2007 | 111 | |
| 3 | 2009 | 54 | |
| 4 | 2007 | 33 | |
| 5 | 2006 | 17 | |
| 6 | 2007 | 8 |
About Dmitriy Skvortsov
Dmitriy Skvortsov is a scholar working on Molecular Biology, Aging, Ecology, Immunology and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 532 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Physiological and biochemical adaptations (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Single-cell and spatial transcriptomics (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Aging (255 citations), Insect Science (79 citations), Cellular and Molecular Neuroscience (105 citations), Endocrine and Autonomic Systems (37 citations) and Immunology (88 citations). Dmitriy Skvortsov has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Diana Abdueva, Simon Tavaré, Gary N. Landis, John Tower, Junsheng Yang, Christina Curtis, Daniel Ford, Timothy J. Bradley, Nicholas Hoe and Donna G. Folk. Their work appears in journals such as Nucleic Acids Research, Genome biology, Aging, Proceedings of the National Academy of Sciences and BMC Bioinformatics.
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.