Vyacheslav Amstislavskiy

10.9k total citations · 1 hit paper
13 papers, 994 citations indexed

About

Vyacheslav Amstislavskiy is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Vyacheslav Amstislavskiy has authored 13 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Epidemiology. Recurrent topics in Vyacheslav Amstislavskiy's work include RNA modifications and cancer (4 papers), Genomics and Phylogenetic Studies (4 papers) and RNA Research and Splicing (3 papers). Vyacheslav Amstislavskiy is often cited by papers focused on RNA modifications and cancer (4 papers), Genomics and Phylogenetic Studies (4 papers) and RNA Research and Splicing (3 papers). Vyacheslav Amstislavskiy collaborates with scholars based in Germany, Switzerland and France. Vyacheslav Amstislavskiy's co-authors include Hans Lehrach, Dmitri Parkhomchuk, Tatiana Borodina, А. В. Солдатов, Sylvia Krobitsch, Marie‐Laure Yaspo, Simon Dökel, Thomas S. Risch, Marc Sultan and Daniela Balzereit and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Vyacheslav Amstislavskiy

12 papers receiving 984 citations

Hit Papers

Transcriptome analysis by strand-specific sequencing of c... 2009 2026 2014 2020 2009 200 400 600
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.

  1. Transcriptome analysis by strand-specific sequencing of complementary DNA
    2009 671 citations Dmitri Parkhomchuk, Tatiana Borodina et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vyacheslav Amstislavskiy Germany 9 714 210 126 121 68 13 994
А. В. Солдатов Russia 5 600 0.8× 164 0.8× 129 1.0× 96 0.8× 60 0.9× 10 836
Hao Dong China 17 540 0.8× 268 1.3× 117 0.9× 69 0.6× 69 1.0× 44 773
Seyed Yahya Anvar Netherlands 23 824 1.2× 175 0.8× 93 0.7× 249 2.1× 65 1.0× 34 1.3k
Florian Steiner Switzerland 19 879 1.2× 270 1.3× 282 2.2× 61 0.5× 36 0.5× 42 1.4k
Aino I. Järvelin United Kingdom 17 1.2k 1.7× 263 1.3× 94 0.7× 60 0.5× 83 1.2× 22 1.4k
Meng How Tan Singapore 21 1.6k 2.2× 179 0.9× 159 1.3× 299 2.5× 75 1.1× 38 1.9k
Alexander Sherstnev United Kingdom 8 593 0.8× 121 0.6× 222 1.8× 97 0.8× 80 1.2× 8 1000
M. Szymański Poland 20 985 1.4× 261 1.2× 219 1.7× 127 1.0× 41 0.6× 56 1.2k
Feng Han China 16 450 0.6× 80 0.4× 196 1.6× 91 0.8× 88 1.3× 36 809

Countries citing papers authored by Vyacheslav Amstislavskiy

Since Specialization
Citations

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

Fields of papers citing papers by Vyacheslav Amstislavskiy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vyacheslav Amstislavskiy

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

All Works

13 of 13 papers shown
1.
Leyvraz, Serge, Mieke Schutte, Torsten Keßler, et al.. (2020). 1142P Treatment of metastatic uveal melanoma (mUM) through genomic profiling. Annals of Oncology. 31. S764–S764.
2.
Andrade‐Navarro, Miguel A., Eike Spruth, Nancy Mah, et al.. (2020). RNA Sequencing of Human Peripheral Blood Cells Indicates Upregulation of Immune-Related Genes in Huntington's Disease. Frontiers in Neurology. 11. 573560–573560. 11 indexed citations
3.
Huang, Yun, Hans-Jörg Warnatz, Thomas S. Risch, et al.. (2019). The Leukemogenic TCF3-HLF Complex Rewires Enhancers Driving Cellular Identity and Self-Renewal Conferring EP300 Vulnerability. Cancer Cell. 36(6). 630–644.e9. 32 indexed citations
4.
Rovito, Roberta, Hans-Jörg Warnatz, Szymon M. Kiełbasa, et al.. (2018). Impact of congenital cytomegalovirus infection on transcriptomes from archived dried blood spots in relation to long-term clinical outcome. PLoS ONE. 13(7). e0200652–e0200652. 6 indexed citations
5.
Arends, Danny, Jan Trost, Marie‐Laure Yaspo, et al.. (2015). The direction of cross affects obesity after puberty in male but not female offspring. BMC Genomics. 16(1). 904–904. 3 indexed citations
6.
Pandey, Vikash, Marc Sultan, Karl Kashofer, et al.. (2014). Comparative Analysis and Modeling of the Severity of Steatohepatitis in DDC-Treated Mouse Strains. PLoS ONE. 9(10). e111006–e111006. 10 indexed citations
7.
Shadrin, Alexey, et al.. (2014). Exome Sequencing from Nanogram Amounts of Starting DNA: Comparing Three Approaches. PLoS ONE. 9(7). e101154–e101154. 14 indexed citations
8.
Sultan, Marc, Vyacheslav Amstislavskiy, Thomas S. Risch, et al.. (2014). Influence of RNA extraction methods and library selection schemes on RNA-seq data. BMC Genomics. 15(1). 675–675. 113 indexed citations
9.
Warnatz, Hans-Jörg, Ran Elkon, Vyacheslav Amstislavskiy, et al.. (2014). Parallel Profiling of the Transcriptome, Cistrome, and Epigenome in the Cellular Response to Ionizing Radiation. Science Signaling. 7(325). rs3–rs3. 49 indexed citations
10.
Barann, Matthias, Daniela Esser, Ulrich C. Klostermeier, et al.. (2013). Janus—a comprehensive tool investigating the two faces of transcription. Bioinformatics. 29(13). 1600–1606. 1 indexed citations
11.
Sultan, Marc, Simon Dökel, Vyacheslav Amstislavskiy, et al.. (2012). A simple strand-specific RNA-Seq library preparation protocol combining the Illumina TruSeq RNA and the dUTP methods. Biochemical and Biophysical Research Communications. 422(4). 643–646. 53 indexed citations
12.
Parkhomchuk, Dmitri, Vyacheslav Amstislavskiy, Aleksey V. Soldatov, & Vasily Ogryzko. (2009). Use of high throughput sequencing to observe genome dynamics at a single cell level. Proceedings of the National Academy of Sciences. 106(49). 20830–20835. 31 indexed citations
13.
Parkhomchuk, Dmitri, Tatiana Borodina, Vyacheslav Amstislavskiy, et al.. (2009). Transcriptome analysis by strand-specific sequencing of complementary DNA. Nucleic Acids Research. 37(18). e123–e123. 671 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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