Nikolay Oskolkov

3.9k total citations · 1 hit paper
28 papers, 1.2k citations indexed

About

Nikolay Oskolkov is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Nikolay Oskolkov has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Ecology. Recurrent topics in Nikolay Oskolkov's work include Forensic and Genetic Research (4 papers), Environmental DNA in Biodiversity Studies (4 papers) and Pancreatic function and diabetes (4 papers). Nikolay Oskolkov is often cited by papers focused on Forensic and Genetic Research (4 papers), Environmental DNA in Biodiversity Studies (4 papers) and Pancreatic function and diabetes (4 papers). Nikolay Oskolkov collaborates with scholars based in Sweden, United States and Finland. Nikolay Oskolkov's co-authors include Igor I. Potemkin, Ola Hansson, Matteo Bocci, Åsa K. Björklund, Mikael N.E. Sommarin, Göran Karlsson, Markus Ringnér, Gyula Pekár, Christer Larsson and David Lindgren and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Nikolay Oskolkov

26 papers receiving 1.2k citations

Hit Papers

Spatially and functionally distinct subclasses of breast ... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nikolay Oskolkov Sweden 15 638 395 226 219 185 28 1.2k
Michael J. Flister United States 22 758 1.2× 599 1.5× 230 1.0× 151 0.7× 213 1.2× 53 1.6k
Hua Mao United States 21 994 1.6× 529 1.3× 285 1.3× 141 0.6× 213 1.2× 52 1.8k
Chia-Lung Tsai Taiwan 21 844 1.3× 325 0.8× 272 1.2× 143 0.7× 145 0.8× 73 1.5k
Luisa Ottobrini Italy 22 718 1.1× 213 0.5× 421 1.9× 155 0.7× 197 1.1× 58 1.6k
Annapaola Andolfo Italy 22 716 1.1× 220 0.6× 340 1.5× 96 0.4× 134 0.7× 49 1.5k
Sumie Kato Chile 22 417 0.7× 518 1.3× 349 1.5× 183 0.8× 113 0.6× 51 1.4k
Thomas Krahn Germany 20 544 0.9× 256 0.6× 345 1.5× 217 1.0× 108 0.6× 40 1.4k
Yuichiro Shimizu Japan 27 1.3k 2.1× 279 0.7× 228 1.0× 347 1.6× 219 1.2× 54 2.3k
Geeta Upadhyay United States 16 596 0.9× 266 0.7× 167 0.7× 104 0.5× 159 0.9× 31 1.2k

Countries citing papers authored by Nikolay Oskolkov

Since Specialization
Citations

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

Fields of papers citing papers by Nikolay Oskolkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolay Oskolkov

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay Oskolkov. A scholar is included among the top collaborators of Nikolay Oskolkov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nikolay Oskolkov. Nikolay Oskolkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Oskolkov, Nikolay, Anna Sandionigi, Anders Götherström, et al.. (2024). Unraveling the ancient fungal DNA from the Iceman gut. BMC Genomics. 25(1). 1225–1225. 1 indexed citations
3.
Oskolkov, Nikolay, Claudio Mirabello, Per Unneberg, et al.. (2024). Identification of microbial pathogens in Neolithic Scandinavian humans. Scientific Reports. 14(1). 5630–5630. 2 indexed citations
4.
Rönn, Tina, Alexander Perfilyev, Nikolay Oskolkov, & Charlotte Ling. (2024). Predicting type 2 diabetes via machine learning integration of multiple omics from human pancreatic islets. Scientific Reports. 14(1). 11 indexed citations
5.
Yates, James A. Fellows, Christina Warinner, Arthur Kocher, et al.. (2023). Introduction to Ancient Metagenomics. Zenodo (CERN European Organization for Nuclear Research).
6.
Vicente, Mário, Thijessen Naidoo, Tom van der Valk, et al.. (2023). aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow. Genome biology. 24(1). 242–242. 21 indexed citations
7.
Mármol‐Sánchez, Emilio, Bastian Fromm, Nikolay Oskolkov, et al.. (2023). Historical RNA expression profiles from the extinct Tasmanian tiger. Genome Research. 33(8). 1299–1316. 8 indexed citations
8.
Zhang, Yali, S. Emil Ruff, Nikolay Oskolkov, et al.. (2023). The microbial biodiversity at the archeological site of Tel Megiddo (Israel). Frontiers in Microbiology. 14. 1253371–1253371. 4 indexed citations
9.
Oskolkov, Nikolay, Małgorzata Santel, Hemang Parikh, et al.. (2022). High-throughput muscle fiber typing from RNA sequencing data. Skeletal Muscle. 12(1). 16–16. 6 indexed citations
10.
Valk, Tom van der, Marianne Dehasque, Juan Camilo Chacón-Duque, et al.. (2022). Evolutionary consequences of genomic deletions and insertions in the woolly mammoth genome. iScience. 25(8). 104826–104826. 4 indexed citations
11.
Halvorsen, Matthew, Ruth Huh, Nikolay Oskolkov, et al.. (2020). Increased burden of ultra-rare structural variants localizing to boundaries of topologically associated domains in schizophrenia. Nature Communications. 11(1). 1842–1842. 42 indexed citations
12.
Bartoschek, Michael, Nikolay Oskolkov, Matteo Bocci, et al.. (2018). Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing. Nature Communications. 9(1). 5150–5150. 561 indexed citations breakdown →
13.
Prasad, Rashmi B., Peter Almgren, Ola Hansson, et al.. (2016). Excess maternal transmission of variants in the THADA gene to offspring with type 2 diabetes. Diabetologia. 59(8). 1702–1713. 14 indexed citations
14.
Fadista, João, Nikolay Oskolkov, Ola Hansson, & Leif Groop. (2016). LoFtool: a gene intolerance score based on loss-of-function variants in 60 706 individuals. Bioinformatics. 33(4). 471–474. 61 indexed citations
15.
Zhou, Yuedan, Nikolay Oskolkov, Liliya Shcherbina, et al.. (2016). HMGB1 binds to the rs7903146 locus in TCF7L2 in human pancreatic islets. Molecular and Cellular Endocrinology. 430. 138–145. 14 indexed citations
16.
Su, Jing, Carl Johan Ekman, Nikolay Oskolkov, et al.. (2015). A novel atlas of gene expression in human skeletal muscle reveals molecular changes associated with aging. Skeletal Muscle. 5(1). 35–35. 72 indexed citations
17.
Zhou, Yuedan, Soo Young Park, Jing Su, et al.. (2014). TCF7L2 is a master regulator of insulin production and processing. Human Molecular Genetics. 23(24). 6419–6431. 144 indexed citations
18.
Vikman, Petter, João Fadista, & Nikolay Oskolkov. (2014). RNA sequencing: current and prospective uses in metabolic research. Journal of Molecular Endocrinology. 53(2). R93–R101. 16 indexed citations
19.
Oskolkov, Nikolay & Igor I. Potemkin. (2007). Complexation in Asymmetric Solutions of Oppositely Charged Polyelectrolytes:  Phase Diagram. Macromolecules. 40(23). 8423–8429. 56 indexed citations
20.
Potemkin, Igor I., Nikolay Oskolkov, Alexei R. Khokhlov, & P. Reineker. (2005). Effect of low-molecular-weight salt on the nematic ordering in solutions of rodlike polyelectrolytes. Physical Review E. 72(2). 21804–21804. 23 indexed citations

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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