Institute for Biological Instrumentation

55.7k citations
966 papers ·

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Machine Learning in Bioinformatics
    • RNA modifications and cancer
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Institute for Biological Instrumentation

913 papers receiving 52.8k citations

Peers

Institute for Biological Instrumentation
Comparison fields: 5 of 208
  • Molecular Biology 38.3k
  • Neurology 4.7k
  • Cell Biology 5.2k
  • Physiology 6.5k
  • Materials Chemistry 10.3k
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Institute for Biological Instrumentation relative to Institute for Atherosclerosis Research Russia Institute for Atherosclerosis Research's profile →
Citations per field
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Institute for Atherosclerosis Research · 1×
Citations per year

Countries citing scholars working at Institute for Biological Instrumentation

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Institute for Biological Instrumentation. 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 papers produced at Institute for Biological Instrumentation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Institute for Biological Instrumentation more than expected).

Fields of papers published by authors at Institute for Biological Instrumentation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute for Biological Instrumentation at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Institute for Biological Instrumentation at the time of their publication.

About Institute for Biological Instrumentation

In recent decades, authors affiliated with Institute for Biological Instrumentation have published 966 papers, which have received a total of 55.7k indexed citations . Scholars at this organization have produced 632 papers in Molecular Biology, 13 papers in Filtration and Separation, 89 papers in Cell Biology, 120 papers in Physiology and 191 papers in Materials Chemistry on the topics of Protein Structure and Dynamics (243 papers), Enzyme Structure and Function (149 papers), RNA and protein synthesis mechanisms (103 papers), Alzheimer's disease research and treatments (84 papers), Machine Learning in Bioinformatics (43 papers), RNA Research and Splicing (42 papers), Parkinson's Disease Mechanisms and Treatments (41 papers) and Bacteriophages and microbial interactions (38 papers). Their work is cited by papers focused on Molecular Biology (38.3k citations), Neurology (4.7k citations), Cell Biology (5.2k citations), Physiology (6.5k citations) and Materials Chemistry (10.3k citations). Authors at Institute for Biological Instrumentation collaborate with scholars in Russia, United States and Saudi Arabia and have published in prestigious journals including International Journal of Molecular Sciences, Journal of Biomolecular Structure and Dynamics, International Journal of Biological Macromolecules, Biomolecules and Biochemistry. Some of Institute for Biological Instrumentation's most productive authors include Vladimir N. Uversky, A. Keith Dunker, Anthony L. Fink, Christopher J. Oldfield, Bin Xue, Eugene A. Permyakov, J. R. Gillespie, Marc S. Cortese, Jie Li and Lilia M. Iakoucheva.

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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