F. Burshteyn

1.5k citations
3 papers · 1.2k · 1 hit paper · h-index 3

Impact in

Papers in

    • Enzyme function and inhibition 1
    • Protein Structure and Dynamics 1
    • Cholinesterase and Neurodegenerative Diseases 1

F. Burshteyn

3 papers receiving 1.2k citations

F. Burshteyn's Hit Papers

Structures of Human Acetylcholinesterase in Complex with Pharmacologically Important Ligands 2012 · 1.1k citations
1.1k0+4+9Years since publication2505007501000

Peers

F. Burshteyn
Comparison fields: 5 of 73
  • Pharmacology 957
  • Computational Theory and Mathematics 692
  • Organic Chemistry 525
  • Complementary and alternative medicine 149
  • Molecular Biology 331
Replace M. Cassidy with:
M. Cassidy United States
Donglu Bai China
Samir Yahiaoui France
Elahe Karimpour‐Razkenari Iran
Carmen Lúcia Cardoso Brazil
Fabián López-Vallejo United States
Дмитрий Сергеевич Дружиловский Russia
D.S. Druzhilovskiy Russia
Zhong‐Duo Yang China
Pankaj Pandey United States
F. Burshteyn relative to M. Cassidy United States M. Cassidy's profile →
Citations per field
00.5×1.5×
M. Cassidy · 1×
Citations per year

Countries citing papers authored by F. Burshteyn

Since Specialization
Citations

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

Fields of papers citing papers by F. Burshteyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

3 of 3 papers shown

About F. Burshteyn

F. Burshteyn is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Molecular Medicine and Biotechnology, having authored 3 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (1 paper), Computational Drug Discovery Methods (1 paper), Enzyme Structure and Function (1 paper), Enzyme function and inhibition (1 paper), Protein Structure and Dynamics (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Transgenic Plants and Applications (1 paper) and Antibiotic Resistance in Bacteria (1 paper). The work is most often cited by research in Pharmacology (957 citations), Computational Theory and Mathematics (692 citations), Organic Chemistry (525 citations), Complementary and alternative medicine (149 citations) and Molecular Biology (331 citations). F. Burshteyn has collaborated with scholars based in United States. Frequent co-authors include M. Rudolph, Jonah Cheung, M. Cassidy, Matthew C. Franklin, E. Gary, J. Love, J.J. Height, Maxim Totrov, Zhong‐Ke Yao and James D. Love. Their work appears in journals such as Journal of Medicinal Chemistry, Proteins Structure Function and Bioinformatics and Journal of Molecular Biology.

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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