Boris Labkovsky

825 total citations
11 papers, 707 citations indexed

About

Boris Labkovsky is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Boris Labkovsky has authored 11 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Boris Labkovsky's work include Alzheimer's disease research and treatments (3 papers), Nerve injury and regeneration (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Boris Labkovsky is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Nerve injury and regeneration (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Boris Labkovsky collaborates with scholars based in United States, Germany and Belgium. Boris Labkovsky's co-authors include D. Dahl, A. Bignami, Stefan Barghorn, Heinz Hillen, Ulrich Ebert, Hussein Mansour, Edward T. Olejniczak, Diane M. Bartley, Rohinton Edalji and Larry R. Solomon and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Biochemistry.

In The Last Decade

Boris Labkovsky

11 papers receiving 690 citations

Peers

Boris Labkovsky

MB

PHYSI

CMN

CTM

IMMUN

Janice Maloney United States

Annette Tennstaedt Germany

Kristin E. Long United States

Martin Krüger Germany

Sebastian Hogl Germany

Satoko Osawa Japan

Tim Dejaegere Belgium

Luc Mercken France

Nemil Bhatt United States

Senthilvelrajan Kaniyappan Germany

Janice Maloney United States

Boris Labkovsky

365 ×0.9

MB

223 ×0.6

PHYSI

165 ×1.3

CMN

71 ×0.7

CTM

67 ×0.7

IMMUN

Citations per year, relative to Boris Labkovsky Boris Labkovsky (= 1×) peers Janice Maloney

Countries citing papers authored by Boris Labkovsky

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Boris Labkovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Boris Labkovsky. A scholar is included among the top collaborators of Boris Labkovsky 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 Boris Labkovsky. Boris Labkovsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Deora, Arun B., Subramanya Hegde, Jacqueline Lee, et al.. (2017). Transmembrane TNF-dependent uptake of anti-TNF antibodies. mAbs. 9(4). 680–695. 55 indexed citations

2.

Hossler, Patrick, David Ouellette, Alexander Ibraghimov, et al.. (2017). Arabinosylation of recombinant human immunoglobulin-based protein therapeutics. mAbs. 9(4). 715–734. 21 indexed citations

3.

Hillen, Heinz, Stefan Barghorn, Andreas Striebinger, et al.. (2010). Generation and Therapeutic Efficacy of Highly Oligomer-Specific β-Amyloid Antibodies. Journal of Neuroscience. 30(31). 10369–10379. 85 indexed citations

4.

Yu, Liping, Rohinton Edalji, John E. Harlan, et al.. (2009). Structural Characterization of a Soluble Amyloid β-Peptide Oligomer. Biochemistry. 48(9). 1870–1877. 308 indexed citations

5.

Olejniczak, Edward T., Liping Yu, Rohinton Edalji, et al.. (2008). P2‐483: Biophysical characterization of soluble amyloid‐β peptide oligomers. Alzheimer s & Dementia. 4(4S_Part_16). 1 indexed citations

6.

Schraven, Burkhart, David S. Schoenhaut, Eddy Bruyns, et al.. (1994). LPAP, a novel 32-kDa phosphoprotein that interacts with CD45 in human lymphocytes.. Journal of Biological Chemistry. 269(46). 29102–29111. 64 indexed citations

7.

Mansour, Hussein, Richard Asher, D. Dahl, et al.. (1990). Permissive and non‐permissive reactive astrocytes: Immunofluorescence study with antibodies to the glial hyaluronate‐binding protein. Journal of Neuroscience Research. 25(3). 300–311. 75 indexed citations

8.

Dahl, D., Boris Labkovsky, & A. Bignami. (1989). Early and late appearance of neurofilament phosphorylation events in nerve regeneration. Brain Research Bulletin. 22(2). 225–232. 21 indexed citations

9.

Mansour, Hussein, A. Bignami, Boris Labkovsky, & D. Dahl. (1989). Neurofilament phosphorylation in neuronal perikarya following axotomy: A study of rat spinal cord with ventral and dorsal root transection. The Journal of Comparative Neurology. 283(4). 481–485. 26 indexed citations

10.

Dahl, D., Boris Labkovsky, & A. Bignami. (1988). Neurofilament phosphorylation in axons and perikarya: Immunofluorescence study of the rat spinal cord and dorsal root ganglia with monoclonal antibodies. The Journal of Comparative Neurology. 271(3). 445–450. 45 indexed citations

11.

Hoss, Wayne & Boris Labkovsky. (1986). Inactivation of depolarization-induced calcium uptake in rat brain synaptosomes. Neurochemical Research. 11(9). 1361–1372. 6 indexed citations

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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