Dmitry Penzar

10.0k total citations · 1 hit paper
16 papers, 5.2k citations indexed

About

Dmitry Penzar is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Dmitry Penzar has authored 16 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Dmitry Penzar's work include Genomics and Chromatin Dynamics (7 papers), RNA and protein synthesis mechanisms (5 papers) and CRISPR and Genetic Engineering (3 papers). Dmitry Penzar is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), RNA and protein synthesis mechanisms (5 papers) and CRISPR and Genetic Engineering (3 papers). Dmitry Penzar collaborates with scholars based in Russia, United States and Germany. Dmitry Penzar's co-authors include Alexander E. Gorbalenya, Anastasia Gulyaeva, Leo L. M. Poon, Bart L. Haagmans, Christian Drosten, Dmitry V. Samborskiy, Raoul J. de Groot, Igor A. Sidorov, John Ziebuhr and Susan C. Baker and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Dmitry Penzar

14 papers receiving 5.1k 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.

The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2

2020 5.0k citations Alexander E. Gorbalenya, Susan C. Baker et al. Nature Microbiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dmitry Penzar Russia	9	3.5k	886	715	465	399	16	5.2k
Dmitry V. Samborskiy Netherlands	6	3.7k 1.1×	730 0.8×	710 1.0×	466 1.0×	396 1.0×	9	5.2k
Anastasia Gulyaeva Netherlands	12	4.0k 1.1×	852 1.0×	719 1.0×	472 1.0×	396 1.0×	21	5.7k
Shuofeng Yuan Hong Kong	33	4.4k 1.3×	1.4k 1.6×	797 1.1×	500 1.1×	291 0.7×	111	6.7k
Igor A. Sidorov Netherlands	24	4.4k 1.3×	1.2k 1.4×	738 1.0×	494 1.1×	666 1.7×	69	7.1k
Daniela Niemeyer Germany	15	5.3k 1.5×	824 0.9×	817 1.1×	764 1.6×	509 1.3×	25	7.0k
Ben Hu China	18	5.6k 1.6×	955 1.1×	913 1.3×	692 1.5×	484 1.2×	34	7.5k
Darryl Falzarano Canada	30	4.1k 1.2×	686 0.8×	652 0.9×	419 0.9×	224 0.6×	69	5.2k
A. M. Leontovich Russia	9	3.7k 1.0×	798 0.9×	710 1.0×	466 1.0×	397 1.0×	13	5.3k
Neeltje van Doremalen United States	27	4.5k 1.3×	662 0.7×	782 1.1×	1.0k 2.2×	336 0.8×	60	6.3k
Zhao Su China	6	5.5k 1.6×	1.7k 1.9×	918 1.3×	645 1.4×	687 1.7×	10	7.9k

Countries citing papers authored by Dmitry Penzar

Since Specialization

Citations

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

Fields of papers citing papers by Dmitry Penzar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Penzar

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Agarwal, Vikram, Fumitaka Inoue, Max Schubach, et al.. (2025). Massively parallel characterization of transcriptional regulatory elements. Nature. 639(8054). 411–420. 16 indexed citations

Spirin, Sergey, et al.. (2024). PhyloBench: A Benchmark for Evaluating Phylogenetic Programs. Molecular Biology and Evolution. 41(6). 2 indexed citations

Fishman, Veniamin, Yuri Kuratov, Dmitry Penzar, et al.. (2024). GENA-LM: a family of open-source foundational DNA language models for long sequences. Nucleic Acids Research. 53(2). 15 indexed citations

Lauber, Chris, et al.. (2024). The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2. UNC Libraries.

Penzar, Dmitry, et al.. (2023). LegNet: a best-in-class deep learning model for short DNA regulatory regions. Bioinformatics. 39(8). 19 indexed citations

Agarwal, Vikram, et al.. (2023). Massively parallel characterization of transcriptional regulatory elements in three diverse human cell types. Zenodo (CERN European Organization for Nuclear Research).

Penzar, Dmitry, et al.. (2022). Investigation of the Role of PUFA Metabolism in Breast Cancer Using a Rank-Based Random Forest Algorithm. Cancers. 14(19). 4663–4663. 4 indexed citations

Abramov, Sergey, Alexandr Boytsov, Dmitry Penzar, et al.. (2021). Landscape of allele-specific transcription factor binding in the human genome. Nature Communications. 12(1). 2751–2751. 56 indexed citations

Gorbalenya, Alexander E., Susan C. Baker, Ralph S. Baric, et al.. (2020). The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2. Nature Microbiology. 5(4). 536–544. 4951 indexed citations breakdown →

10.

Ambrosini, Giovanna, Ilya E. Vorontsov, Dmitry Penzar, et al.. (2020). Insights gained from a comprehensive all-against-all transcription factor binding motif benchmarking study. Genome biology. 21(1). 114–114. 34 indexed citations

11.

Garazha, Andrew, Maxim Sorokin, Dmitry Penzar, et al.. (2019). Correction: Nikitin, D., et al. Retroelement—Linked Transcription Factor Binding Patterns Point to Quickly Developing Molecular Pathways in Human Evolution. Cells. 8(8). 130. 2 indexed citations

12.

Penzar, Dmitry, Ilya E. Vorontsov, Vasily Sitnik, et al.. (2019). What Do Neighbors Tell About You: The Local Context of Cis-Regulatory Modules Complicates Prediction of Regulatory Variants. Frontiers in Genetics. 10. 1078–1078. 3 indexed citations

13.

Igolkina, Anna A., et al.. (2019). H3K4me3, H3K9ac, H3K27ac, H3K27me3 and H3K9me3 Histone Tags Suggest Distinct Regulatory Evolution of Open and Condensed Chromatin Landmarks. Cells. 8(9). 1034–1034. 80 indexed citations

14.

Nikitin, Daniil, Andrew Garazha, Maxim Sorokin, et al.. (2019). Retroelement—Linked Transcription Factor Binding Patterns Point to Quickly Developing Molecular Pathways in Human Evolution. Cells. 8(2). 130–130. 12 indexed citations

15.

Penzar, Dmitry, et al.. (2018). PQ, a new program for phylogeny reconstruction. BMC Bioinformatics. 19(1). 374–374. 1 indexed citations

16.

Nikitin, Daniil, Dmitry Penzar, Andrew Garazha, et al.. (2018). Profiling of Human Molecular Pathways Affected by Retrotransposons at the Level of Regulation by Transcription Factor Proteins. Frontiers in Immunology. 9. 30–30. 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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