Makarov Va

839 total citations
96 papers, 624 citations indexed

About

Makarov Va is a scholar working on Molecular Biology, Mechanical Engineering and Neurology. According to data from OpenAlex, Makarov Va has authored 96 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Mechanical Engineering and 10 papers in Neurology. Recurrent topics in Makarov Va's work include Neurological Disorders and Treatments (9 papers), Seaweed-derived Bioactive Compounds (8 papers) and Magnetic Properties and Applications (6 papers). Makarov Va is often cited by papers focused on Neurological Disorders and Treatments (9 papers), Seaweed-derived Bioactive Compounds (8 papers) and Magnetic Properties and Applications (6 papers). Makarov Va collaborates with scholars based in Russia, United Kingdom and Bulgaria. Makarov Va's co-authors include Н. Н. Дрозд, Л. С. Гальбрайх, Г. А. Вихорева, В. П. Варламов, Г. Е. Банникова, А. В. Панов, Lyudmila V. Savvateeva, Andrey A. Zamyatnin, Н. М. Шевченко and Evgeni Yu. Zernii and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Carbohydrate Polymers.

In The Last Decade

Makarov Va

82 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Makarov Va Russia 13 152 125 90 82 64 96 624
Young Ho Cho South Korea 12 157 1.0× 133 1.1× 48 0.5× 19 0.2× 68 1.1× 52 675
Ivana Pajić‐Lijaković Serbia 20 162 1.1× 125 1.0× 154 1.7× 19 0.2× 34 0.5× 79 1.3k
Xiu Zhang China 18 271 1.8× 38 0.3× 49 0.5× 12 0.1× 57 0.9× 60 854
M. S. Otterburn United Kingdom 13 160 1.1× 53 0.4× 49 0.5× 8 0.1× 73 1.1× 40 569
Kåre A. Kristiansen Norway 17 297 2.0× 275 2.2× 128 1.4× 57 0.7× 96 1.5× 26 980
Yuanzheng Wu China 15 195 1.3× 66 0.5× 194 2.2× 9 0.1× 20 0.3× 40 742
Synnøve Holtan Norway 9 136 0.9× 125 1.0× 116 1.3× 157 1.9× 69 1.1× 9 660
Lü China 13 180 1.2× 53 0.4× 90 1.0× 10 0.1× 37 0.6× 64 656
Danping Wang China 19 432 2.8× 115 0.9× 86 1.0× 13 0.2× 59 0.9× 58 1.0k
Zhiyan Zhang China 20 162 1.1× 30 0.2× 108 1.2× 10 0.1× 105 1.6× 66 1.0k

Countries citing papers authored by Makarov Va

Since Specialization
Citations

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

Fields of papers citing papers by Makarov Va

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makarov Va

This figure shows the co-authorship network connecting the top 25 collaborators of Makarov Va. A scholar is included among the top collaborators of Makarov Va 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 Makarov Va. Makarov Va 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.
Rudzińska, Magdalena, Alessandro Parodi, Yuri M. Efremov, et al.. (2020). Cysteine Cathepsins Inhibition Affects Their Expression and Human Renal Cancer Cell Phenotype. Cancers. 12(5). 1310–1310. 18 indexed citations
2.
Va, Makarov, et al.. (2020). Unravelling the Network of Nuclear Matrix Metalloproteinases for Targeted Drug Design. Biology. 9(12). 480–480. 7 indexed citations
3.
Va, Makarov, et al.. (2019). Global epizoothology. 2019(6). 26–35. 2 indexed citations
4.
5.
Savvateeva, Lyudmila V., Makarov Va, Marina V. Serebryakova, et al.. (2015). Glutenase and collagenase activities of wheat cysteine protease Triticain-α: Feasibility for enzymatic therapy assays. The International Journal of Biochemistry & Cell Biology. 62. 115–124. 34 indexed citations
6.
Дрозд, Н. Н., Makarov Va, Elena Zavyalova, et al.. (2013). Aptamer RA36 Inhibits of Human, Rabbit, and Rat Plasma Coagulation Activated with Thrombin or Snake Venom Coagulases. Bulletin of Experimental Biology and Medicine. 156(1). 44–48. 10 indexed citations
7.
Vityazev, Fedor, Victoria V. Golovchenko, Olga A. Patova, et al.. (2010). Synthesis of sulfated pectins and their anticoagulant activity. Biochemistry (Moscow). 75(6). 759–768. 25 indexed citations
8.
Посыпанова, Г. А., et al.. (2008). Recombinant alpha-fetoprotein C-terminal fragment: The new recombinant vector for targeted delivery. Journal of drug targeting. 16(4). 321–328. 24 indexed citations
9.
Дрозд, Н. Н., Makarov Va, T. N. Zvyagintseva, et al.. (2008). Inhibition of thrombin and factor Xa by Fucus evanescens fucoidan and its modified analogs. Bulletin of Experimental Biology and Medicine. 146(3). 328–333. 31 indexed citations
10.
Mestechkina, N. M., Г. Е. Банникова, В. П. Варламов, et al.. (2007). Anticoagulant activity of low-molecular-weight sulfated derivatives of galactomannan from Cyamopsis tetragonoloba (L.) seeds. Applied Biochemistry and Microbiology. 43(6). 650–654. 2 indexed citations
11.
Дрозд, Н. Н., Makarov Va, Т. А. Кузнецова, et al.. (2006). Pharmacodynamic parameters of anticoagulants based on sulfated polysaccharides from marine algae. Bulletin of Experimental Biology and Medicine. 142(5). 591–593. 19 indexed citations
12.
Дрозд, Н. Н., et al.. (2001). Comparison of Antithrombin Activity of the Polysulphate Chitosan Derivatives in In Vivo and In Vitro System. Thrombosis Research. 102(5). 445–455. 42 indexed citations
13.
Va, Makarov, et al.. (1997). [Artificially functionalized polyenoic fatty acids--a new lipid bioregulators].. PubMed. 23(3). 211–20. 12 indexed citations
14.
Kogan, Alexander E, et al.. (1993). Protein C activator from the venom of Agkistrodon blomhoffi ussuriensis retards thrombus formation in the arterio-venous shunt in rats. Thrombosis Research. 70(5). 385–393. 13 indexed citations
15.
Va, Makarov, et al.. (1985). Mössbauer investigation of Invar. A new model of the expansion anomaly and magnetism of iron atoms. Journal of Experimental and Theoretical Physics. 61(4). 839. 1 indexed citations
16.
Va, Karlov, et al.. (1985). [Role of disorders of the hemostatic system in the pathogenesis of multiple sclerosis and ways of correcting them].. PubMed. 85(2). 198–206.
17.
Stukan, R. A., et al.. (1980). Synthesis and study of graphite layered compounds with Fe−Mo and Fe−W by methods of gamma resonance and X-ray spectroscopy. Journal of Structural Chemistry. 21(2). 177–181. 1 indexed citations
18.
Va, Makarov, et al.. (1977). Study of the magnetic structure of the system Fe 65 (Ni 1-x Mn x ) 35 by methods of magnetic scattering of neutrons and the Mössbauer effect. JETP. 45. 962. 1 indexed citations
19.
Va, Makarov, et al.. (1975). The Mössbauer effect and magnetic structure of an Invar alloy with manganese impurity. Journal of Experimental and Theoretical Physics. 40. 382.
20.
Lyubutin, I. S., et al.. (1968). Change of Effective Magnetic Field at the Sn 119 Nucleus in Gadolinium Garnet on Going Through the Compensation Point. 7. 291.

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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