Lev Barinov

647 citations
3 papers · 388 · h-index 3

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Gene Regulatory Network Analysis
    • CRISPR and Genetic Engineering
    • Single-cell and spatial transcriptomics

Papers in

    • RNA Research and Splicing 2
    • Genomics and Chromatin Dynamics 2
    • Diffusion and Search Dynamics 1
    • RNA and protein synthesis mechanisms 1
    • Artificial Intelligence in Healthcare and Education 1

Lev Barinov

3 papers receiving 388 citations

Peers

Lev Barinov
Comparison fields: 5 of 49
  • Health Informatics 7
  • Molecular Biology 355
  • Biophysics 17
  • Plant Science 86
  • Genetics 34
Replace Marie Zufferey with:
Marie Zufferey Switzerland
Amr M. Alexandari United States
Melanie Weilert United States
Derek E. Kelly United States
Robin Fropf United States
Sabrina Schumacher Germany
Khyati Dalal United States
Yuefan Huang United States
Scott Ronquist United States
Chao Yu Zhen United States
Lev Barinov relative to Marie Zufferey Switzerland Marie Zufferey's profile →
Citations per field
00.5×
Marie Zufferey · 1×
Citations per year

Countries citing papers authored by Lev Barinov

Since Specialization
Citations

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

Fields of papers citing papers by Lev Barinov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Lev Barinov, 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 Barinov Line = papers co-authored together Lev Barinov links everyone, so they are left out of the graph.

All Works

About Lev Barinov

Lev Barinov is a scholar working on Molecular Biology, Health Informatics, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Infectious Diseases, having authored 3 papers that have together received 388 indexed citations. Recurring topics across this work include RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Diffusion and Search Dynamics (1 paper), Thyroid Cancer Diagnosis and Treatment (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Health Informatics (7 citations), Molecular Biology (355 citations), Biophysics (17 citations), Plant Science (86 citations) and Genetics (34 citations). Lev Barinov has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Thomas Gregor, Miki Fujioka, Hongtao Chen, James B. Jaynes, Michal Levo, Benjamin Zoller, David B. Brückner, Ross W. Filice, William D. Middleton and Jonathan Kirsch. Their work appears in journals such as Science, Nature Genetics and Journal of Digital Imaging.

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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