V. A. Nesmeyanov

556 total citations
43 papers, 441 citations indexed

About

V. A. Nesmeyanov is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, V. A. Nesmeyanov has authored 43 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Immunology. Recurrent topics in V. A. Nesmeyanov's work include Monoclonal and Polyclonal Antibodies Research (15 papers), Glycosylation and Glycoproteins Research (14 papers) and Antimicrobial Peptides and Activities (7 papers). V. A. Nesmeyanov is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (15 papers), Glycosylation and Glycoproteins Research (14 papers) and Antimicrobial Peptides and Activities (7 papers). V. A. Nesmeyanov collaborates with scholars based in Russia, United States and Finland. V. A. Nesmeyanov's co-authors include A. Ya. Khorlin, S. E. ZURABYAN, Ekaterina Dementieva, E. V. Grishin, А. С. Заседателев, A. Yu. Rubina, Yu.A. Ovchinnikov, N.N. Modyanov, Elena Arystarkhova and Alexander Kozhich and has published in prestigious journals such as Analytical Biochemistry, FEBS Letters and Protein Science.

In The Last Decade

V. A. Nesmeyanov

43 papers receiving 416 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
V. A. Nesmeyanov Russia 10 274 112 68 65 42 43 441
Laurence J. Altobell United States 9 238 0.9× 46 0.4× 42 0.6× 104 1.6× 27 0.6× 9 353
Christelle Ganneau France 13 253 0.9× 139 1.2× 69 1.0× 110 1.7× 11 0.3× 19 463
Christiane Bies Germany 7 527 1.9× 148 1.3× 54 0.8× 31 0.5× 10 0.2× 7 765
Joachim Weidmann Australia 9 261 1.0× 53 0.5× 42 0.6× 25 0.4× 67 1.6× 11 356
Anne Bonhoure France 11 407 1.5× 147 1.3× 88 1.3× 21 0.3× 30 0.7× 16 759
R. Scott Houliston Canada 14 350 1.3× 61 0.5× 116 1.7× 35 0.5× 22 0.5× 19 500
Anne Gleinich United States 8 291 1.1× 90 0.8× 67 1.0× 73 1.1× 6 0.1× 10 650
Jesse S. Samuel India 3 318 1.2× 41 0.4× 29 0.4× 38 0.6× 101 2.4× 3 430
Sandra Lightle United States 10 279 1.0× 45 0.4× 96 1.4× 42 0.6× 17 0.4× 10 469
Ľubomír Janda Czechia 17 439 1.6× 33 0.3× 134 2.0× 18 0.3× 24 0.6× 54 766

Countries citing papers authored by V. A. Nesmeyanov

Since Specialization
Citations

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

Fields of papers citing papers by V. A. Nesmeyanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. A. Nesmeyanov. 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 V. A. Nesmeyanov. The network helps show where V. A. Nesmeyanov may publish in the future.

Co-authorship network of co-authors of V. A. Nesmeyanov

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

All Works

20 of 20 papers shown
1.
Shepelyakovskaya, A. O., et al.. (2011). Structural modification effects on bioactivities of the novel 15-mer peptide adjuvant. Vaccine. 29(44). 7779–7784. 5 indexed citations
2.
Shepelyakovskaya, A. O., et al.. (2010). A method for the preparation of adjuvant peptide mimetics of GMDP with the use of monoclonal antibodies and combinatorial libraries of peptides in the format of phage display. Russian Journal of Bioorganic Chemistry. 36(2). 157–163. 1 indexed citations
3.
Nesmeyanov, V. A., et al.. (2009). GMDP augments antitumor action of the CP/TNFα combination in vivo. Biomedicine & Pharmacotherapy. 64(4). 240–248. 2 indexed citations
4.
Nesmeyanov, V. A., et al.. (2007). Glucosaminylmuramyl dipeptide potentiates the effects of tumor necrosis factor-α and cisplatin on transformed cells in vitro. Bulletin of Experimental Biology and Medicine. 143(2). 251–254. 4 indexed citations
5.
Хайдуков, С. В., et al.. (2006). Muramyl peptides augment cytotoxic effect of tumor necrosis factor-alpha in combination with cytotoxic drugs on tumor cells. International Immunopharmacology. 6(9). 1377–1386. 7 indexed citations
6.
Rubina, A. Yu., et al.. (2005). Quantitative immunoassay of biotoxins on hydrogel-based protein microchips. Analytical Biochemistry. 340(2). 317–329. 71 indexed citations
7.
Shepelyakovskaya, A. O., et al.. (2005). The Library of Human Miniantibodies in the Phage Display Format: Designing and Testing. Doklady Biochemistry and Biophysics. 405(1-6). 437–440. 7 indexed citations
8.
Shepelyakovskaya, A. O., et al.. (2002). The Production of Miniantibodies Against Human Granulocyte Colony-Stimulating Factor Using the Murine scFv Combinatory Library. Russian Journal of Bioorganic Chemistry. 28(2). 108–116. 2 indexed citations
9.
Жмак, М. Н., et al.. (2002). Induction of Antimeningitis Immunity by Synthetic Peptides: III. Immunoactive Synthetic Fragments of the NspA Protein from Neisseria meningitidis. Russian Journal of Bioorganic Chemistry. 28(4). 263–268. 1 indexed citations
10.
Ivanov, Vadim T., et al.. (2001). Crystal structure of an anti‐interleukin‐2 monoclonal antibody Fab complexed with an antigenic nonapeptide. Protein Science. 10(8). 1514–1521. 6 indexed citations
11.
Baskova, I. P., Sergey Lukyanov, E. V. Snezhkov, et al.. (2000). Destabilase from the medicinal leech is a representative of a novel family of lysozymes. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1478(1). 69–77. 75 indexed citations
12.
Swiderek, Kristine M., et al.. (1999). Specific binding of glucosaminylmuramyl peptides to histones. FEBS Letters. 454(1-2). 152–156. 6 indexed citations
13.
Nesmeyanov, V. A., et al.. (1998). Endogenous tumour necrosis factor‐alpha sensitise melanoma cells to glucosaminylmuramyl dipeptide. FEBS Letters. 426(3). 373–376. 4 indexed citations
14.
Nesmeyanov, V. A., et al.. (1997). Biochemical characterization of GMDP binding sites on murine macrophages. Immunology Letters. 56. 68–68. 1 indexed citations
15.
Nesmeyanov, V. A., et al.. (1994). Immunoregulatory properties of hexapeptide isolated from porcine bone marrow cell culture. Regulatory Peptides. 53(3). 203–209. 15 indexed citations
16.
Карелин, А. А., et al.. (1994). Albumin-like glycoprotein from human fetal tissue.. PubMed. 33(1). 73–80. 2 indexed citations
17.
Sumaroka, Marina, et al.. (1991). Muramyl peptide‐binding sites are located inside target cells. FEBS Letters. 295(1-3). 48–50. 17 indexed citations
18.
Golovina, Tatiana N., et al.. (1988). Immunostimulatory factors produced by nonstimulated lymphocytes. Immunologiya. 2. 54–57. 1 indexed citations
19.
Nesmeyanov, V. A., et al.. (1984). Production of interleukin 2 in serum-free medium. Molecular Immunology. 21(9). 811–814. 5 indexed citations
20.
Nesmeyanov, V. A., S. E. ZURABYAN, & A. Ya. Khorlin. (1973). Sugar acetates as glycosylating agents in oligosaccharide synthesis. Tetrahedron Letters. 14(34). 3213–3216. 7 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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