В. В. Жданов

1.1k total citations
164 papers, 855 citations indexed

About

В. В. Жданов is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, В. В. Жданов has authored 164 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 34 papers in Oncology and 31 papers in Pharmacology. Recurrent topics in В. В. Жданов's work include Cytokine Signaling Pathways and Interactions (18 papers), Plant-based Medicinal Research (17 papers) and Mesenchymal stem cell research (14 papers). В. В. Жданов is often cited by papers focused on Cytokine Signaling Pathways and Interactions (18 papers), Plant-based Medicinal Research (17 papers) and Mesenchymal stem cell research (14 papers). В. В. Жданов collaborates with scholars based in Russia, United Kingdom and Czechia. В. В. Жданов's co-authors include G. N. Zyuz’kov, А. М. Дыгай, Е. В. Симанина, L. А. Miroshnichenko, Е. В. Удут, Л. А. Ставрова, Е. Д. Гольдберг, М. Г. Данилец, В. В. Удут and Н. И. Суслов and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and Materials Letters.

In The Last Decade

В. В. Жданов

145 papers receiving 830 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
В. В. Жданов Russia 15 360 239 180 85 81 164 855
May‐Jywan Tsai Taiwan 21 457 1.3× 61 0.3× 54 0.3× 159 1.9× 18 0.2× 60 1.4k
Yao Tong China 20 578 1.6× 68 0.3× 50 0.3× 36 0.4× 22 0.3× 33 1.0k
Zongyang Li China 21 690 1.9× 64 0.3× 85 0.5× 82 1.0× 8 0.1× 85 1.3k
Mario E. Goetz Germany 7 329 0.9× 32 0.1× 34 0.2× 56 0.7× 28 0.3× 9 866
Shengjun Mao China 16 289 0.8× 88 0.4× 52 0.3× 41 0.5× 19 0.2× 55 714
Chih‐Jung Yao Taiwan 20 528 1.5× 120 0.5× 149 0.8× 162 1.9× 11 0.1× 37 1.1k
Meihua Qu China 25 853 2.4× 55 0.2× 160 0.9× 54 0.6× 11 0.1× 92 2.0k
Shan Xiong China 12 297 0.8× 42 0.2× 64 0.4× 44 0.5× 15 0.2× 46 558

Countries citing papers authored by В. В. Жданов

Since Specialization
Citations

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

Fields of papers citing papers by В. В. Жданов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of В. В. Жданов

This figure shows the co-authorship network connecting the top 25 collaborators of В. В. Жданов. A scholar is included among the top collaborators of В. В. Жданов 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 В. В. Жданов. В. В. Жданов 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
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Суслов, Н. И., et al.. (2022). Risk of developing drug abuse in administration of a new hexaazaisowurtzitane derivative-based analgesic (experimental study). SHILAP Revista de lepidopterología. 21(1). 54–62. 2 indexed citations
4.
Суслов, Н. И., et al.. (2021). Analgesic action of hexaazaisowurtzitane derivative in somatic pain models caused by TRPA1 and TRPV1 Ion channels activation. SHILAP Revista de lepidopterología. 19(4). 110–118. 1 indexed citations
5.
Skurikhin, Е. G., et al.. (2018). Role of β Cell Precursors in the Regeneration of Insulin-Producing Pancreatic β Cells under the Influence of Glucagon-Like Peptide 1. Bulletin of Experimental Biology and Medicine. 165(5). 644–648. 4 indexed citations
6.
Zyuz’kov, G. N., Е. В. Удут, L. А. Miroshnichenko, et al.. (2018). Role of JAK/STAT3 Signaling in Functional Stimulation of Mesenchymal Progenitor Cells with Alkaloid Songorine. Bulletin of Experimental Biology and Medicine. 165(5). 665–668. 5 indexed citations
7.
Skurikhin, Е. G., et al.. (2017). Role of Sertoli and Leydig Cells in the Regulation of Spermatogonial Stem Cell and Development of Reproductive Disorders in Male C57Bl/6 Mice with Type 1 Diabetes Mellitus. Bulletin of Experimental Biology and Medicine. 164(2). 127–131. 17 indexed citations
8.
Адекенов, С. М., et al.. (2017). Phenolic compounds of ethanol extracts of Lemna minor L., Lemna trisulca L. and Lemna polyrrhiza L. Schleid and their immunomodulating activity. Bulletin of Siberian Medicine. 16(3). 5–15. 3 indexed citations
9.
Goldberg, V. Е., et al.. (2016). MECHANISMS OF ACTIVATION OF HEMATOPOIETIC RECOVERY DUE TO FILGASTRIM IN BREAST CANCER PATIENTS RECEIVING CHEMOTHERAPY WITH DOXORUBICIN/DOCETAXEL. SHILAP Revista de lepidopterología.
10.
Данилец, М. Г., et al.. (2016). Effects of Water-Soluble Polysaccharides with Different Chemical Structure, Isolated from Acorus calamus L. and Trifolium pratense L., on Nitric Oxide Production: A Screening Study. Bulletin of Experimental Biology and Medicine. 160(3). 330–335. 4 indexed citations
11.
Удут, Е. В., В. В. Жданов, L. А. Miroshnichenko, et al.. (2016). Mechanisms of Erythropoietin–Stimulating Action of Anti-Erythropoietin Release-Active Antibodies in Complex Treatment of Experimental Anemia during Gestation. Bulletin of Experimental Biology and Medicine. 160(6). 737–741.
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Rumyantsev, А. М., et al.. (2015). Application of silicon zig-zag wall arrays for anodes of Li-ion batteries. Semiconductor Science and Technology. 31(1). 14008–14008. 7 indexed citations
13.
Дыгай, А. М., В. В. Жданов, G. N. Zyuz’kov, et al.. (2014). Role of NF-κB-Dependent Signaling and p38 MAPK Signaling Pathway in the Control of Hemopoiesis during Cytostatic Administration. Bulletin of Experimental Biology and Medicine. 157(1). 32–36. 7 indexed citations
14.
Дыгай, А. М., В. В. Жданов, L. А. Miroshnichenko, et al.. (2013). Comparison of Specifi c Activity of Granulocytopoiesis Stimulators after Treatment with Cytostatics with Different Mechanisms of Action. Bulletin of Experimental Biology and Medicine. 155(5). 631–635. 5 indexed citations
15.
Жданов, В. В., et al.. (2008). Mechanisms of stimulation of granulocytopoiesis with neupogen in patients with breast cancer during chemotherapy. Bulletin of Experimental Biology and Medicine. 145(4). 467–471. 4 indexed citations
16.
Дыгай, А. М., В. В. Жданов, С. А. Сергеева, et al.. (2007). A comparative study of stimulation of erythropoiesis during renal anemia with the preparation of antibodies against erythropoietin in ultralow doses and Recormon. Bulletin of Experimental Biology and Medicine. 143(6). 699–702. 1 indexed citations
17.
Дыгай, А. М., et al.. (2006). The role of stem cells in the recovery of hemopoiesis in cytostatic and radial myelosuppressions. Bulletin of Siberian Medicine. 5(2). 35–42.
18.
Гольдберг, Е. Д., А. М. Дыгай, & В. В. Жданов. (2002). The mechanisms of blood system regulation under myelosuppressive influences. Bulletin of Siberian Medicine. 1(2). 7–16. 1 indexed citations
19.
Жданов, В. В., et al.. (2002). Breeding for the Digenic Apple Resistance to Scab. Russian Journal of Genetics. 38(12). 1411–1416. 2 indexed citations
20.
Жданов, В. В., et al.. (1981). [Apple genes of immunity to scab [Venturia inaequalis]]. [Russian]. Genetika. 1 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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