Wladimir Labeikovsky

1.5k citations
10 papers · 1.3k indexed · 1 hit paper · h-index 10
Topics
Signaling Pathways in Disease (5 papers)Protein Structure and Dynamics (3 papers)Toxin Mechanisms and Immunotoxins (3 papers)

In The Last Decade

Wladimir Labeikovsky

10 papers receiving 1.2k citations

Hit Papers

Intrinsic dynamics of an enzyme underlies catalysis20052026201220192005250500750

Peers

Wladimir Labeikovsky
Comparison fields: 5 of 93
  • Molecular Biology 1.1k
  • Materials Chemistry 315
  • Spectroscopy 247
  • Cell Biology 137
  • Immunology 114
Replace Masaki Mishima with:
Masaki Mishima Japan
Renee Otten United States
Eva de Alba United States
Hitoshi Kuboniwa United States
Shiou‐Ru Tzeng Taiwan
Michael W. Clarkson United States
Johan Evenäs Sweden
Charalampos G. Kalodimos United States
Takeshi Tenno Japan
Johan Weigelt Sweden
Wladimir Labeikovsky relative to Masaki Mishima Japan Masaki Mishima's profile →
Citations per field
00.5×1.5×
Masaki Mishima · 1×
Citations per year

Countries citing papers authored by Wladimir Labeikovsky

Since Specialization
Citations

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

Fields of papers citing papers by Wladimir Labeikovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wladimir Labeikovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Wladimir Labeikovsky. A scholar is included among the top collaborators of Wladimir Labeikovsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wladimir Labeikovsky. Wladimir Labeikovsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 10
2 10
3 24
4 25
5 61
6 33
7 95
8 63
9
Intrinsic dynamics of an enzyme underlies catalysisbreakdown →
883
10 48

About Wladimir Labeikovsky

Wladimir Labeikovsky is a scholar working on Geriatrics and Gerontology, Immunology and Molecular Biology, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (5 papers), Protein Structure and Dynamics (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Spectroscopy (247 citations) and Biophysics (69 citations). Wladimir Labeikovsky has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Elan Eisenmesser, Dorothee Kern, Daryl A. Bosco, Magnus Wolf‐Watz, Óscar Millet, Jack J. Skalicky, Dmitry M. Korzhnev, Lewis E. Kay, Michael W. Clarkson and Ming Lei. Their work appears in journals such as Nature, Cell 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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