Мikhail Pashenkov

2.3k total citations
70 papers, 1.8k citations indexed

About

Мikhail Pashenkov is a scholar working on Immunology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Мikhail Pashenkov has authored 70 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Immunology, 25 papers in Pathology and Forensic Medicine and 12 papers in Oncology. Recurrent topics in Мikhail Pashenkov's work include Immune Response and Inflammation (32 papers), Multiple Sclerosis Research Studies (24 papers) and Immunotherapy and Immune Responses (17 papers). Мikhail Pashenkov is often cited by papers focused on Immune Response and Inflammation (32 papers), Multiple Sclerosis Research Studies (24 papers) and Immunotherapy and Immune Responses (17 papers). Мikhail Pashenkov collaborates with scholars based in Russia, Sweden and United States. Мikhail Pashenkov's co-authors include Hans Link, M. Söderström, Pinegin Bv, Natalia Teleshova, Vasilios Kostulas, Yu-Min Huang, Mathilde C.M. Kouwenhoven, Mikhail Melnikov, Mats Haglund and Alexey Boyко and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The EMBO Journal.

In The Last Decade

Мikhail Pashenkov

65 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Мikhail Pashenkov Russia 26 977 391 362 316 250 70 1.8k
Sophie Chabot France 26 925 0.9× 684 1.7× 310 0.9× 324 1.0× 251 1.0× 54 2.3k
Takayuki Kondo Japan 19 1.7k 1.7× 422 1.1× 533 1.5× 277 0.9× 276 1.1× 41 2.4k
Marie‐José Melief Netherlands 23 724 0.7× 319 0.8× 358 1.0× 167 0.5× 244 1.0× 53 1.5k
Alla L. Zozulya Germany 21 710 0.7× 329 0.8× 207 0.6× 238 0.8× 393 1.6× 30 1.4k
Gerhard Giegerich Germany 17 806 0.8× 484 1.2× 280 0.8× 185 0.6× 111 0.4× 29 1.6k
Jeffrey J. Bajramović Netherlands 27 950 1.0× 737 1.9× 454 1.3× 274 0.9× 551 2.2× 58 2.3k
Daisuke Nagakubo Japan 25 976 1.0× 690 1.8× 213 0.6× 436 1.4× 140 0.6× 44 2.3k
Leonilda Maria Barbosa dos Santos Brazil 21 868 0.9× 256 0.7× 399 1.1× 140 0.4× 122 0.5× 53 1.8k
Paul T. Massa United States 27 1.2k 1.3× 824 2.1× 263 0.7× 332 1.1× 387 1.5× 63 2.4k
Jeri‐Anne Lyons United States 19 1.0k 1.0× 329 0.8× 925 2.6× 331 1.0× 144 0.6× 46 2.0k

Countries citing papers authored by Мikhail Pashenkov

Since Specialization
Citations

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

Fields of papers citing papers by Мikhail Pashenkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Мikhail Pashenkov

This figure shows the co-authorship network connecting the top 25 collaborators of Мikhail Pashenkov. A scholar is included among the top collaborators of Мikhail Pashenkov 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 Мikhail Pashenkov. Мikhail Pashenkov 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.
Pashenkov, Мikhail, et al.. (2024). Cellular senescence: mechanisms and clinical implications. Immunologiya. 45(2). 221–234.
2.
Pashenkov, Мikhail, et al.. (2023). Transcriptional response of macrophages to combined stimulation of a NOD- and a Toll-like receptor. Immunologiya. 44(4). 408–418.
3.
Pashenkov, Мikhail, et al.. (2023). Comparison of transcriptional profiles of human macrophages activated by agonists of NOD1 and TLR4 receptors. Immunologiya. 44(1). 16–27. 2 indexed citations
4.
Pashenkov, Мikhail, et al.. (2023). Inhibition of specific signaling pathways rather than epigenetic silencing of effector genes is the leading mechanism of innate tolerance. Frontiers in Immunology. 14. 1006002–1006002. 4 indexed citations
5.
Vorobjeva, N.V., et al.. (2022). Protein kinase C isoforms mediate the formation of neutrophil extracellular traps. International Immunopharmacology. 114. 109448–109448. 25 indexed citations
6.
Melnikov, Mikhail, et al.. (2022). The role of macrophages in the development of neuroinflammation in multiple sclerosis. S S Korsakov Journal of Neurology and Psychiatry. 122(5). 51–51. 1 indexed citations
7.
Pei, Gang, Joanna Żyła, Lichun He, et al.. (2021). Cellular stress promotes NOD1/2‐dependent inflammation via the endogenous metabolite sphingosine‐1‐phosphate. The EMBO Journal. 40(13). e106272–e106272. 43 indexed citations
8.
9.
Pashenkov, Мikhail, et al.. (2021). The role of glycolysis in immune response. Immunologiya. 42(1). 5–20. 5 indexed citations
10.
Bv, Pinegin, et al.. (2020). Mucosal epithelial cells and novel approaches to immunoprophylaxy and immunotherapy of infectious diseases. Immunologiya. 41(6). 486–500. 7 indexed citations
11.
Pashenkov, Мikhail & Rakhim M. Khaitov. (2020). Immune response against epidemic coronaviruses. Immunologiya. 41(1). 5–18. 21 indexed citations
12.
Melnikov, Mikhail, et al.. (2020). Aerobic glycolysis is dispensable for pro-inflammatory cytokine production by dendritic cells. Immunologiya. 41(1). 31–41. 1 indexed citations
13.
Pashenkov, Мikhail, et al.. (2017). NOD1 and NOD2: Molecular targets in prevention and treatment of infectious diseases. International Immunopharmacology. 54. 385–400. 28 indexed citations
14.
Boyко, Alexey, et al.. (2016). The Role of Biogenic Amines in the Regulation of Interaction between the Immune and Nervous Systems in Multiple Sclerosis. NeuroImmunoModulation. 23(4). 217–223. 13 indexed citations
15.
Melnikov, Mikhail, et al.. (2016). The influence of catecholamines on Th17-cells in multiple sclerosis. S S Korsakov Journal of Neurology and Psychiatry. 116(10. Vyp. 2). 16–16. 2 indexed citations
16.
17.
Pashenkov, Мikhail, et al.. (2014). APPLICATION OF INHIBITOR ANALYSIS FOR STUDYING MECHANISMS AND ACTIONS OF POLYMURAMYL, A MURAMYL PEPTIDE-BASED IMMUNE MODULATOR. Medical Immunology (Russia). 15(1). 21–21. 1 indexed citations
18.
Jalili, Ahmad, Christine Wagner, Мikhail Pashenkov, et al.. (2012). Dual Suppression of the Cyclin-Dependent Kinase Inhibitors CDKN2C and CDKN1A in Human Melanoma. JNCI Journal of the National Cancer Institute. 104(21). 1673–1679. 33 indexed citations
19.
Pashenkov, Мikhail, et al.. (2010). Muropeptides trigger distinct activation profiles in macrophages and dendritic cells. International Immunopharmacology. 10(8). 875–882. 12 indexed citations
20.
Press, Rayomand, Inger Nennesmo, Mathilde C.M. Kouwenhoven, et al.. (2005). Dendritic cells in the cerebrospinal fluid and peripheral nerves in Guillain-Barré syndrome and chronic inflammatory demyelinating polyradiculoneuropathy. Journal of Neuroimmunology. 159(1-2). 165–176. 31 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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