Lev Uralsky

4.1k citations
8 papers · 70 · h-index 5

Impact in

    • Genomic variations and chromosomal abnormalities
    • Chromosomal and Genetic Variations
    • Plant nutrient uptake and metabolism

Papers in

    • Genomics and Phylogenetic Studies 2
    • Metabolism, Diabetes, and Cancer 1
    • Genomic variations and chromosomal abnormalities 3

Lev Uralsky

7 papers receiving 70 citations

Peers

Lev Uralsky
Comparison fields: 5 of 27
  • Genetics 35
  • Plant Science 46
  • Molecular Biology 55
  • Aging 1
  • Cell Biology 9
Replace Fedor Ryabov with:
Fedor Ryabov Israel
Valeria Velásquez‐Zapata United States
Zhicong Lin China
Jackson Peter France
Queying Ding United States
Simon Grüter Switzerland
Timothy Sykes Switzerland
Elizabeth I. Alger United States
Piotr Włodzimierz United Kingdom
L.A. Shearer United States
Lev Uralsky relative to Fedor Ryabov Israel Fedor Ryabov's profile →
Citations per field
00.5×1.5×
Fedor Ryabov · 1×
Citations per year

Countries citing papers authored by Lev Uralsky

Since Specialization
Citations

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

Fields of papers citing papers by Lev Uralsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Lev Uralsky, 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 Lev Uralsky Line = papers co-authored together Lev Uralsky links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201528
2 201921
3 20207
4 20234
5 20224
6 20164
7 20222
8 20110

About Lev Uralsky

Lev Uralsky is a scholar working on Molecular Biology, Genetics, Plant Science, Sensory Systems and Cell Biology, having authored 8 papers that have together received 70 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Plant nutrient uptake and metabolism (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Genomics and Phylogenetic Studies (2 papers), Olfactory and Sensory Function Studies (2 papers), melanin and skin pigmentation (2 papers) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Genetics (35 citations), Plant Science (46 citations), Molecular Biology (55 citations), Aging (1 citation) and Cell Biology (9 citations). Lev Uralsky has collaborated with scholars based in Russia, United States and Australia. Frequent co-authors include Е. И. Рогаев, Ivan A. Alexandrov, В. А. Шепелев, Yuri B. Yurov, A. A. Alexandrov, A. A. Alexandrov, Т. В. Андреева, И. А. Андреев, И. Л. Кузнецова and Catherine Putonti. Their work appears in journals such as Scientific Reports, Chromosome Research, Biochemistry (Moscow), Genomics Data and SHILAP Revista de lepidopterología.

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.

Explore authors with similar magnitude of impact