Petr Volkov

4.2k total citations · 2 hit papers
30 papers, 2.8k citations indexed

About

Petr Volkov is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Petr Volkov has authored 30 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Surgery and 10 papers in Genetics. Recurrent topics in Petr Volkov's work include Epigenetics and DNA Methylation (17 papers), Pancreatic function and diabetes (14 papers) and Genetics and Neurodevelopmental Disorders (6 papers). Petr Volkov is often cited by papers focused on Epigenetics and DNA Methylation (17 papers), Pancreatic function and diabetes (14 papers) and Genetics and Neurodevelopmental Disorders (6 papers). Petr Volkov collaborates with scholars based in Sweden, Denmark and Australia. Petr Volkov's co-authors include Charlotte Ling, Tina Rönn, Tasnim Dayeh, Karl Bacos, Elin Hall, Emma Nilsson, Anders H. Olsson, Marloes Dekker Nitert, Lena Eliasson and Alexander Perfilyev and has published in prestigious journals such as Nature Communications, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Petr Volkov

29 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Six Months Exercise Intervention Influences the Genome-wide DNA Methylation Pattern in Human Adipose Tissue

2013 457 citations Tina Rönn, Petr Volkov et al. PLoS Genetics profile →
Genome-Wide DNA Methylation Analysis of Human Pancreatic Islets from Type 2 Diabetic and Non-Diabetic Donors Identifies Candidate Genes That Influence Insulin Secretion

2014 363 citations Tasnim Dayeh, Petr Volkov et al. PLoS Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Petr Volkov Sweden	22	1.9k	795	795	603	545	30	2.8k
Tasnim Dayeh Sweden	13	1.6k 0.8×	711 0.9×	728 0.9×	453 0.8×	457 0.8×	14	2.3k
Karl Bacos Sweden	23	1.6k 0.8×	679 0.9×	545 0.7×	386 0.6×	272 0.5×	34	2.3k
Tina Rönn Sweden	29	3.1k 1.6×	1.0k 1.3×	1.2k 1.5×	1.2k 2.1×	890 1.6×	40	4.6k
Sayuko Kobes United States	31	1.2k 0.6×	544 0.7×	1.3k 1.6×	678 1.1×	315 0.6×	86	3.3k
Alexander Perfilyev Sweden	24	1.3k 0.7×	363 0.5×	413 0.5×	457 0.8×	383 0.7×	42	1.9k
Elin Hall Sweden	12	1.2k 0.6×	468 0.6×	506 0.6×	449 0.7×	377 0.7×	13	1.7k
Anders H. Olsson Sweden	14	1.1k 0.6×	415 0.5×	469 0.6×	404 0.7×	370 0.7×	15	1.6k
Charlotte Brøns Denmark	29	1.2k 0.6×	495 0.6×	373 0.5×	1.2k 1.9×	868 1.6×	75	2.8k
Hélène Blanché France	25	1.1k 0.6×	637 0.8×	639 0.8×	411 0.7×	254 0.5×	61	3.2k
Ottavia Porzio Italy	30	1.1k 0.6×	796 1.0×	424 0.5×	430 0.7×	123 0.2×	97	2.6k

Countries citing papers authored by Petr Volkov

Since Specialization

Citations

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

Fields of papers citing papers by Petr Volkov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Volkov

This figure shows the co-authorship network connecting the top 25 collaborators of Petr Volkov. A scholar is included among the top collaborators of Petr Volkov 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 Petr Volkov. Petr Volkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rönn, Tina, Jones K. Ofori, Alexander Perfilyev, et al.. (2023). Genes with epigenetic alterations in human pancreatic islets impact mitochondrial function, insulin secretion, and type 2 diabetes. Nature Communications. 14(1). 8040–8040. 36 indexed citations

Lindqvist, Andreas, Elena Piccinin, Alexander Hamilton, et al.. (2023). RNA sequencing unravels novel L cell constituents and mechanisms of GLP-1 secretion in human gastric bypass-operated intestine. Diabetologia. 67(2). 356–370. 3 indexed citations

Edsfeldt, Andreas, Pratibha Singh, Frank Matthes, et al.. (2023). Transforming growth factor-β2 is associated with atherosclerotic plaque stability and lower risk for cardiovascular events. Cardiovascular Research. 119(11). 2061–2073. 20 indexed citations

Singh, Pratibha, Isabel Gonçalves, Mihaela Nitulescu, et al.. (2021). Correction to: Reduced oxidized LDL in T2D plaques is associated with a greater statin usage but not with future cardiovascular events. Cardiovascular Diabetology. 20(1). 61–61. 2 indexed citations

Davegårdh, Cajsa, Anna Benrick, Christa Broholm, et al.. (2021). VPS39-deficiency observed in type 2 diabetes impairs muscle stem cell differentiation via altered autophagy and epigenetics. Nature Communications. 12(1). 2431–2431. 25 indexed citations

Singh, Pratibha, Isabel Gonçalves, Mihaela Nitulescu, et al.. (2020). Reduced oxidized LDL in T2D plaques is associated with a greater statin usage but not with future cardiovascular events. Cardiovascular Diabetology. 19(1). 214–214. 12 indexed citations

García-Calzón, Sonia, Alexander Perfilyev, Mats Martinell, et al.. (2020). Epigenetic markers associated with metformin response and intolerance in drug-naïve patients with type 2 diabetes. Science Translational Medicine. 12(561). 42 indexed citations

Ågren, Rasmus, Cajsa Davegårdh, Petr Volkov, et al.. (2019). ATAC-seq reveals alterations in open chromatin in pancreatic islets from subjects with type 2 diabetes. Scientific Reports. 9(1). 7785–7785. 43 indexed citations

Gonçalves, Isabel, Pratibha Singh, Michele Cavalera, et al.. (2019). sTRAIL-R2 (Soluble TNF [Tumor Necrosis Factor]-Related Apoptosis-Inducing Ligand Receptor 2) a Marker of Plaque Cell Apoptosis and Cardiovascular Events. Stroke. 50(8). 1989–1996. 28 indexed citations

10.

Broholm, Christa, Rasmus Ribel‐Madsen, Line Hjort, et al.. (2019). Epigenome- and Transcriptome-wide Changes in Muscle Stem Cells from Low Birth Weight Men. Endocrine Research. 45(1). 58–71. 6 indexed citations

11.

Perfilyev, Alexander, Ingrid Dahlman, Linn Gillberg, et al.. (2017). Impact of polyunsaturated and saturated fat overfeeding on the DNA-methylation pattern in human adipose tissue: a randomized controlled trial1–3. American Journal of Clinical Nutrition. 105(4). 991–1000. 125 indexed citations

12.

Hall, Elin, Marloes Dekker Nitert, Petr Volkov, et al.. (2017). The effects of high glucose exposure on global gene expression and DNA methylation in human pancreatic islets. Molecular and Cellular Endocrinology. 472. 57–67. 68 indexed citations

13.

Davegårdh, Cajsa, Christa Broholm, Alexander Perfilyev, et al.. (2017). Abnormal epigenetic changes during differentiation of human skeletal muscle stem cells from obese subjects. BMC Medicine. 15(1). 39–39. 45 indexed citations

14.

Bacos, Karl, Linn Gillberg, Petr Volkov, et al.. (2016). Blood-based biomarkers of age-associated epigenetic changes in human islets associate with insulin secretion and diabetes. Nature Communications. 7(1). 11089–11089. 177 indexed citations

15.

Gillberg, Linn, Alexander Perfilyev, Charlotte Brøns, et al.. (2016). Adipose tissue transcriptomics and epigenomics in low birthweight men and controls: role of high-fat overfeeding. Diabetologia. 59(4). 799–812. 55 indexed citations

16.

Volkov, Petr, Anders H. Olsson, Linn Gillberg, et al.. (2016). A Genome-Wide mQTL Analysis in Human Adipose Tissue Identifies Genetic Variants Associated with DNA Methylation, Gene Expression and Metabolic Traits. PLoS ONE. 11(6). e0157776–e0157776. 78 indexed citations

17.

Agardh, Elisabet, Alexander Perfilyev, Petr Volkov, et al.. (2015). Genome-wide analysis of DNA methylation in subjects with type 1 diabetes identifies epigenetic modifications associated with proliferative diabetic retinopathy. BMC Medicine. 13(1). 182–182. 103 indexed citations

18.

Hall, Elin, Petr Volkov, Tasnim Dayeh, et al.. (2014). Effects of palmitate on genome-wide mRNA expression and DNA methylation patterns in human pancreatic islets. BMC Medicine. 12(1). 103–103. 101 indexed citations

19.

Dayeh, Tasnim, Petr Volkov, Sofia Salö, et al.. (2014). Genome-Wide DNA Methylation Analysis of Human Pancreatic Islets from Type 2 Diabetic and Non-Diabetic Donors Identifies Candidate Genes That Influence Insulin Secretion. PLoS Genetics. 10(3). e1004160–e1004160. 363 indexed citations breakdown →

20.

Rönn, Tina, Petr Volkov, Cajsa Davegårdh, et al.. (2013). A Six Months Exercise Intervention Influences the Genome-wide DNA Methylation Pattern in Human Adipose Tissue. PLoS Genetics. 9(6). e1003572–e1003572. 457 indexed citations breakdown →

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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