Viktor Petukhov

5.9k total citations
9 papers, 633 citations indexed

About

Viktor Petukhov is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biophysics. According to data from OpenAlex, Viktor Petukhov has authored 9 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Biophysics. Recurrent topics in Viktor Petukhov's work include Single-cell and spatial transcriptomics (6 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cancer Genomics and Diagnostics (2 papers). Viktor Petukhov is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cancer Genomics and Diagnostics (2 papers). Viktor Petukhov collaborates with scholars based in United States, Denmark and Hungary. Viktor Petukhov's co-authors include Peter V. Kharchenko, Konstantin Khodosevich, Samuel Demharter, Yaroslav Lozinsky, Nikolaos Barkas, Daria Nikolaeva, Ruslan Soldatov, Jeffrey R. Moffitt, Paolo Cadinu and Rosalind J. Xu and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Nature Methods.

In The Last Decade

Viktor Petukhov

9 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Viktor Petukhov United States	8	495	100	94	92	83	9	633
Madhavi Tippani United States	8	631 1.3×	70 0.7×	98 1.0×	84 0.9×	57 0.7×	17	776
Samuel Demharter Denmark	11	432 0.9×	79 0.8×	140 1.5×	39 0.4×	70 0.8×	22	705
Nathalie Saurat United States	7	694 1.4×	254 2.5×	98 1.0×	70 0.8×	95 1.1×	10	950
Ganlu Hu China	9	346 0.7×	87 0.9×	42 0.4×	28 0.3×	72 0.9×	13	456
Cindy Liu United States	3	879 1.8×	125 1.3×	156 1.7×	201 2.2×	71 0.9×	6	1.0k
Alexander Aivazidis United Kingdom	6	485 1.0×	88 0.9×	161 1.7×	76 0.8×	45 0.5×	7	717
Christoffer Mattsson Langseth Sweden	10	465 0.9×	73 0.7×	96 1.0×	67 0.7×	33 0.4×	14	617
Cedric R. Uytingco United States	10	1.0k 2.1×	131 1.3×	190 2.0×	139 1.5×	53 0.6×	17	1.2k
Álvaro Mateos Spain	10	463 0.9×	40 0.4×	48 0.5×	37 0.4×	91 1.1×	13	680
Di Xia China	15	548 1.1×	220 2.2×	26 0.3×	19 0.2×	234 2.8×	31	944

Countries citing papers authored by Viktor Petukhov

Since Specialization

Citations

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

Fields of papers citing papers by Viktor Petukhov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viktor Petukhov

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

All Works

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9 of 9 papers shown

Zhang, Yida, Viktor Petukhov, Evan Biederstedt, et al.. (2024). Gene panel selection for targeted spatial transcriptomics. Genome biology. 25(1). 35–35. 7 indexed citations

Miller, Jeremy A., Jeongbin Park, Boudewijn P. F. Lelieveldt, et al.. (2023). Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brain. Scientific Reports. 13(1). 9567–9567. 9 indexed citations

Petukhov, Viktor, et al.. (2022). Expression profile of synaptic vesicle glycoprotein 2A, B, and C paralogues in temporal neocortex tissue from patients with temporal lobe epilepsy (TLE). Molecular Brain. 15(1). 45–45. 16 indexed citations

Batiuk, Mykhailo Y., Shenglin Mei, Rasmus Rydbirk, et al.. (2022). Upper cortical layer–driven network impairment in schizophrenia. Science Advances. 8(41). eabn8367–eabn8367. 57 indexed citations

Petukhov, Viktor, Rosalind J. Xu, Ruslan Soldatov, et al.. (2021). Cell segmentation in imaging-based spatial transcriptomics. Nature Biotechnology. 40(3). 345–354. 165 indexed citations

Petukhov, Viktor, Teun van den Brand, & Evan Biederstedt. (2021). Rasterize Layers for 'ggplot2' [R package ggrastr version 0.2.3]. 1 indexed citations

Pfisterer, Ulrich, Viktor Petukhov, Samuel Demharter, et al.. (2020). Identification of epilepsy-associated neuronal subtypes and gene expression underlying epileptogenesis. Nature Communications. 11(1). 5038–5038. 115 indexed citations

Barkas, Nikolaos, Viktor Petukhov, Daria Nikolaeva, et al.. (2019). Joint analysis of heterogeneous single-cell RNA-seq dataset collections. Nature Methods. 16(8). 695–698. 166 indexed citations

Petukhov, Viktor, Jimin Guo, Ninib Baryawno, et al.. (2018). dropEst: pipeline for accurate estimation of molecular counts in droplet-based single-cell RNA-seq experiments. Genome biology. 19(1). 78–78. 97 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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