Boris Labkovsky
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
- Developmental Neuroscience top 10%
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Protein Structure and Dynamics 1
-
- Nerve injury and regeneration 3
- Hereditary Neurological Disorders 1
- Co-authors
- D. Dahl (4 shared papers)A. Bignami (4 shared papers)Ulrich Ebert (3 shared papers)Stefan Barghorn (3 shared papers)Heinz Hillen (3 shared papers)Hussein Mansour (2 shared papers)Liping Yu (2 shared papers)Rohinton Edalji (2 shared papers)
- Journals
- mAbs (2 papers)The Journal of Comparative Neurology (2 papers)Neurochemical Research (1 paper)Journal of Neuroscience (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Boris Labkovsky
11 papers receiving 690 citations
Peers
Comparison fields: 5 of 67
- Physiology 367
- Developmental Neuroscience 57
- Cellular and Molecular Neuroscience 128
- Biomaterials 89
- Computational Theory and Mathematics 106
Countries citing papers authored by Boris Labkovsky
This map shows the geographic impact of Boris Labkovsky'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 Boris Labkovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris Labkovsky more than expected).
Fields of papers citing papers by Boris Labkovsky
This network shows the impact of papers produced by Boris Labkovsky. 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 Boris Labkovsky. The network helps show where Boris Labkovsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Boris Labkovsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 308 | |
| 2 | 2010 | 85 | |
| 3 | 1990 | 75 | |
| 4 | 1994 | 64 | |
| 5 | 2017 | 55 | |
| 6 | 1988 | 45 | |
| 7 | 1989 | 26 | |
| 8 | 1989 | 21 | |
| 9 | 2017 | 21 | |
| 10 | 1986 | 6 | |
| 11 | 2008 | 1 |
About Boris Labkovsky
Boris Labkovsky is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Physiology and Biomaterials, having authored 11 papers that have together received 707 indexed citations. Recurring topics across this work include Nerve injury and regeneration (3 papers), Alzheimer's disease research and treatments (3 papers), Supramolecular Self-Assembly in Materials (2 papers), Skin and Cellular Biology Research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Protein Structure and Dynamics (1 paper) and Hereditary Neurological Disorders (1 paper). The work is most often cited by research in Physiology (367 citations), Developmental Neuroscience (57 citations), Cellular and Molecular Neuroscience (128 citations), Biomaterials (89 citations) and Computational Theory and Mathematics (106 citations). Boris Labkovsky has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include D. Dahl, A. Bignami, Ulrich Ebert, Stefan Barghorn, Heinz Hillen, Hussein Mansour, Liping Yu, Rohinton Edalji, John E. Harlan and Philip J. Hajduk. Their work appears in journals such as mAbs, The Journal of Comparative Neurology, Neurochemical Research, Journal of Neuroscience and Journal of Biological Chemistry.
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.