Dmitry Usoskin

5.0k citations
23 papers · 3.2k indexed · 1 hit paper · h-index 14

Impact in

Papers in

Dmitry Usoskin

22 papers receiving 3.2k citations

Hit Papers

Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing 2014 · 1.5k citations
1.5k20142026201820224008001.2k

Peers

Dmitry Usoskin
Comparison fields: 5 of 120
  • Sensory Systems 370
  • Cellular and Molecular Neuroscience 974
  • Developmental Neuroscience 201
  • Physiology 964
  • Dermatology 265
Replace Alessandro Furlan with:
Alessandro Furlan Sweden
Hind Abdo Sweden
Omar Abdel Samad United States
Hendrik Wildner Switzerland
Markus Plomann Germany
François Lallemend Sweden
Hagen Wende Germany
Elisabeth Petrasch‐Parwez Germany
Olivier Britz United States
Hannah Hochgerner Sweden
Dmitry Usoskin relative to Alessandro Furlan Sweden Alessandro Furlan's profile →
Citations per field
00.5×1.5×
Alessandro Furlan · 1×
Citations per year

Countries citing papers authored by Dmitry Usoskin

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Usoskin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dmitry Usoskin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dmitry Usoskin Line = papers co-authored together Dmitry Usoskin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20251
4 2021110
5 2019225
6 20183
7 2017222
8 2017110
9 201680
10
Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
Hit paper breakdown →
20141456
11 201128
12 2009417
13 2008250
14 20086
15 200513
16 200422
17 2004166
18 200312
19 20039
20 200236

About Dmitry Usoskin

Dmitry Usoskin is a scholar working on Sensory Systems, Behavioral Neuroscience, Physiology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 23 papers that have together received 3.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), TGF-β signaling in diseases (5 papers), Ion Channels and Receptors (5 papers), Pluripotent Stem Cells Research (4 papers), Adipose Tissue and Metabolism (4 papers), Single-cell and spatial transcriptomics (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Sensory Systems (370 citations), Cellular and Molecular Neuroscience (974 citations), Developmental Neuroscience (201 citations), Physiology (964 citations) and Dermatology (265 citations). Dmitry Usoskin has collaborated with scholars based in Sweden, United States and France. Frequent co-authors include Patrik Ernfors, Hind Abdo, Jens Hjerling‐Leffler, Alessandro Furlan, Peter V. Kharchenko, Sten Linnarsson, Peter Lönnerberg, Jesper Z. Haeggström, O. A. Kharchenko and Igor Adameyko. Their work appears in journals such as Nature Neuroscience, genesis, Science, Stem Cells and Neurochemical Research.

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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