Dmitriy Skvortsov
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Insect Science top 10%
- Insect Utilization and Effects
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
-
- Gene expression and cancer classification 2
- Advanced Biosensing Techniques and Applications 2
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Simon Tavaré (6 shared papers)Diana Abdueva (6 shared papers)John Tower (3 shared papers)Gary N. Landis (3 shared papers)Junsheng Yang (1 shared paper)Christina Curtis (3 shared papers)Betty Schaub (1 shared paper)Donna G. Folk (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Proceedings of the National Academy of Sciences (1 paper)Aging (1 paper)Genome biology (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Dmitriy Skvortsov
6 papers receiving 526 citations
Peers
Comparison fields: 5 of 72
- Aging 244
- Insect Science 77
- Endocrine and Autonomic Systems 36
- Cellular and Molecular Neuroscience 97
- Immunology 81
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 16 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 | 308 | |
| 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 Aging, Molecular Biology, Immunology, Cellular and Molecular Neuroscience and Ecology, having authored 6 papers that have together received 531 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Gene expression and cancer classification (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Invertebrate Immune Response Mechanisms (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Neurobiology and Insect Physiology Research (1 paper), Physiological and biochemical adaptations (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Aging (244 citations), Insect Science (77 citations), Endocrine and Autonomic Systems (36 citations), Cellular and Molecular Neuroscience (97 citations) and Immunology (81 citations). Dmitriy Skvortsov has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Simon Tavaré, Diana Abdueva, John Tower, Gary N. Landis, Junsheng Yang, Christina Curtis, Betty Schaub, Donna G. Folk, Nancy B. Wehr and Daniel Ford. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, Aging, Genome biology 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.