Danila Bredikhin

1.8k total citations · 1 hit paper
7 papers, 645 citations indexed

About

Danila Bredikhin is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, Danila Bredikhin has authored 7 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Paleontology. Recurrent topics in Danila Bredikhin's work include Single-cell and spatial transcriptomics (3 papers), Gene expression and cancer classification (2 papers) and interferon and immune responses (1 paper). Danila Bredikhin is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Gene expression and cancer classification (2 papers) and interferon and immune responses (1 paper). Danila Bredikhin collaborates with scholars based in Germany, United Kingdom and Netherlands. Danila Bredikhin's co-authors include Oliver Stegle, Ricard Argelaguet, Damien Arnol, Britta Velten, John C. Marioni, Ilia Kats, Jakob Wirbel, Jana M. Braunger, Georg Zeller and Celia Alda-Catalinas and has published in prestigious journals such as Brain, Nature Methods and Developmental Cell.

In The Last Decade

Danila Bredikhin

7 papers receiving 640 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.

MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data

2020 432 citations Ricard Argelaguet, Damien Arnol et al. Genome biology profile →

Peers

Danila Bredikhin

MB

CR

BIOPH

IMMUN

GENET

F. William Townes United States

Katy Vandereyken Belgium

Catherine Snow United Kingdom

Hani Jieun Kim Australia

Vince Carey United States

Junyun Cheng China

Yungang Xu China

Nancy George United Kingdom

Helena L. Crowell Switzerland

Vitalii Kleshchevnikov United Kingdom

F. William Townes United States

Danila Bredikhin

624 ×1.1

MB

150 ×1.6

CR

108 ×1.3

BIOPH

62 ×1.0

IMMUN

41 ×1.0

GENET

Citations per year, relative to Danila Bredikhin Danila Bredikhin (= 1×) peers F. William Townes

Countries citing papers authored by Danila Bredikhin

Since Specialization

Citations

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

Fields of papers citing papers by Danila Bredikhin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danila Bredikhin

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

All Works

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7 of 7 papers shown

1.

Bredikhin, Danila, Tobias Gerber, Peter J. Steenbergen, et al.. (2024). Systemic coordination of whole-body tissue remodeling during local regeneration in sea anemones. Developmental Cell. 60(5). 780–793.e7. 3 indexed citations

2.

Ban, Maria, Danila Bredikhin, Yuanhua Huang, et al.. (2023). Expression profiling of cerebrospinal fluid identifies dysregulated antiviral mechanisms in multiple sclerosis. Brain. 147(2). 554–565. 2 indexed citations

3.

Velten, Britta, Jana M. Braunger, Ricard Argelaguet, et al.. (2022). Identifying temporal and spatial patterns of variation from multimodal data using MEFISTO. Nature Methods. 19(2). 179–186. 78 indexed citations

4.

Bredikhin, Danila, Ilia Kats, & Oliver Stegle. (2022). MUON: multimodal omics analysis framework. Genome biology. 23(1). 42–42. 62 indexed citations

5.

Schmidt‐Rhaesa, Andreas, et al.. (2022). Cryptic species complex or an incomplete speciation? Phylogeographic analysis reveals an intricate Pleistocene history of Priapulus caudatus Lamarck, 1816. Zoologischer Anzeiger. 302. 113–130. 11 indexed citations

6.

Alda-Catalinas, Celia, Danila Bredikhin, Irene Hernando-Herraez, et al.. (2020). A Single-Cell Transcriptomics CRISPR-Activation Screen Identifies Epigenetic Regulators of the Zygotic Genome Activation Program. Cell Systems. 11(1). 25–41.e9. 57 indexed citations

7.

Argelaguet, Ricard, Damien Arnol, Danila Bredikhin, et al.. (2020). MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data. Genome biology. 21(1). 111–111. 432 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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