Evgeny Tiys

547 total citations
34 papers, 358 citations indexed

About

Evgeny Tiys is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Evgeny Tiys has authored 34 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Physiology and 9 papers in Spectroscopy. Recurrent topics in Evgeny Tiys's work include Advanced Proteomics Techniques and Applications (9 papers), Spaceflight effects on biology (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Evgeny Tiys is often cited by papers focused on Advanced Proteomics Techniques and Applications (9 papers), Spaceflight effects on biology (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Evgeny Tiys collaborates with scholars based in Russia, Germany and France. Evgeny Tiys's co-authors include В. А. Иванисенко, Н. А. Колчанов, П. С. Деменков, Olga Saik, Timofey Ivanisenko, Е. Н. Николаев, И. М. Ларина, Л. Х. Пастушкова, А. С. Кононихин and Igor Popov and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Genomics.

In The Last Decade

Evgeny Tiys

34 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evgeny Tiys Russia 10 191 77 75 29 28 34 358
Matthias Ziehm Germany 11 210 1.1× 53 0.7× 75 1.0× 11 0.4× 18 0.6× 19 547
Jun Bai China 13 174 0.9× 35 0.5× 88 1.2× 29 1.0× 11 0.4× 26 361
Atsushi Sanbuissho Japan 17 199 1.0× 80 1.0× 27 0.4× 55 1.9× 19 0.7× 43 615
Igor Šegota United States 7 325 1.7× 98 1.3× 93 1.2× 23 0.8× 15 0.5× 8 491
Handan Can United States 11 316 1.7× 82 1.1× 20 0.3× 21 0.7× 18 0.6× 24 607
Seema Chatterjee United States 9 525 2.7× 62 0.8× 55 0.7× 25 0.9× 19 0.7× 10 598
Roumyana Yordanova United States 8 201 1.1× 91 1.2× 54 0.7× 6 0.2× 9 0.3× 12 362
Liangxiao Ma China 12 290 1.5× 22 0.3× 39 0.5× 34 1.2× 10 0.4× 25 414
Zhilong Wang China 12 207 1.1× 54 0.7× 116 1.5× 88 3.0× 10 0.4× 31 561
Axel Rasche Germany 9 274 1.4× 90 1.2× 37 0.5× 13 0.4× 20 0.7× 19 477

Countries citing papers authored by Evgeny Tiys

Since Specialization
Citations

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

Fields of papers citing papers by Evgeny Tiys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evgeny Tiys

This figure shows the co-authorship network connecting the top 25 collaborators of Evgeny Tiys. A scholar is included among the top collaborators of Evgeny Tiys 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 Evgeny Tiys. Evgeny Tiys 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
1.
2.
Svishcheva, G. R., Evgeny Tiys, Paul R. H. J. Timmers, et al.. (2022). A Novel Framework for Analysis of the Shared Genetic Background of Correlated Traits. Genes. 13(10). 1694–1694. 4 indexed citations
3.
Timmers, Paul R. H. J., Evgeny Tiys, Saori Sakaue, et al.. (2022). Mendelian randomization of genetically independent aging phenotypes identifies LPA and VCAM1 as biological targets for human aging. Nature Aging. 2(1). 19–30. 27 indexed citations
4.
Liu, Duo, et al.. (2021). Associations Between Genetically Predicted Plasma N-Glycans and Prostate Cancer Risk: Analysis of Over 140,000 European Descendants. Pharmacogenomics and Personalized Medicine. Volume 14. 1211–1220. 5 indexed citations
5.
Tiys, Evgeny, et al.. (2020). [Characteristics of age-dependent changes in the urine´s proteom composition of the of the healthy persons (experimental and theoretical study).]. PubMed. 33(4). 735–740. 1 indexed citations
6.
Tiys, Evgeny, Timofey Ivanisenko, П. С. Деменков, & В. А. Иванисенко. (2018). FunGeneNet: a web tool to estimate enrichment of functional interactions in experimental gene sets. BMC Genomics. 19(S3). 76–76. 7 indexed citations
7.
Пастушкова, Л. Х., А. С. Кононихин, В. А. Иванисенко, et al.. (2018). The Effect of Long-term Space Flights on Human Urine Proteins Functionally Related to Endothelium. Human Physiology. 44(1). 60–67. 3 indexed citations
8.
Пастушкова, Л. Х., et al.. (2017). ANALYSIS OF THE SALT CONSUMPTION EFFECTS ON ENDOTHELIAL PROTEINS IN HUMAN URINE DURING 105-DAY ISOLATION. Aerospace and Environmental Medicine. 51(4). 21–27. 1 indexed citations
9.
Пастушкова, Л. Х., А. С. Кононихин, Evgeny Tiys, et al.. (2017). Analysis of Urine Proteome in Patients With Postinfarction Cardiosclerosis Combined With Hypertensive Disease for Assessing Endothelial Dysfunction. Kardiologiia. 17(11). 49–58. 1 indexed citations
10.
Иванисенко, В. А., Evgeny Tiys, А. С. Кононихин, et al.. (2017). Analysis of the effects of different salt consumption levels on the urine protein composition during a 105-day isolation using the opoSOM program. Human Physiology. 43(1). 86–92. 1 indexed citations
11.
Пастушкова, Л. Х., А. С. Кононихин, Evgeny Tiys, et al.. (2016). Characteristics of age-dependent changes in urine proteome in healthy men. Advances in Gerontology. 6(2). 123–128. 5 indexed citations
12.
Bragina, E. Yu., et al.. (2016). Novel tuberculosis susceptibility candidate genes revealed by the reconstruction and analysis of associative networks. Infection Genetics and Evolution. 46. 118–123. 24 indexed citations
13.
Пастушкова, Л. Х., et al.. (2016). PROTEOMIC ANALYSIS OF URINE UNDER CONTROLLED SALT INTAKE IN PROJECT «MARS-500». Aerospace and Environmental Medicine. 50(4). 21–26. 2 indexed citations
14.
Пастушкова, Л. Х., А. С. Кононихин, Evgeny Tiys, et al.. (2016). Constant urinary proteins in healthy humans in a 520-day isolation experiment. Human Physiology. 42(7). 760–765. 1 indexed citations
15.
Иванисенко, В. А., Olga Saik, Nikita V. Ivanisenko, et al.. (2015). ANDSystem: an Associative Network Discovery System for automated literature mining in the field of biology. BMC Systems Biology. 9(Suppl 2). S2–S2. 55 indexed citations
16.
Bragina, E. Yu., Evgeny Tiys, Maxim B. Freidin, et al.. (2014). Insights into pathophysiology of dystropy through the analysis of gene networks: an example of bronchial asthma and tuberculosis. Immunogenetics. 66(7-8). 457–465. 26 indexed citations
17.
Ларина, И. М., Л. Х. Пастушкова, Evgeny Tiys, et al.. (2014). Permanent proteins in the urine of healthy humans during the Mars-500 experiment. Journal of Bioinformatics and Computational Biology. 13(1). 1540001–1540001. 21 indexed citations
18.
Пастушкова, Л. Х., А. С. Кононихин, Evgeny Tiys, et al.. (2013). Detection of Renal Tissue and Urinary Tract Proteins in the Human Urine after Space Flight. PLoS ONE. 8(8). e71652–e71652. 24 indexed citations
19.
Пастушкова, Л. Х., А. С. Кононихин, Evgeny Tiys, et al.. (2013). Detection of renal and urinary tract proteins in urine before and after space flight. Human Physiology. 39(5). 535–539. 1 indexed citations
20.
Tiys, Evgeny, В. А. Иванисенко, N. S. Yudin, et al.. (2012). Finding biomarkers in non-model species: literature mining of transcription factors involved in bovine embryo development. BioData Mining. 5(1). 12–12. 7 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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