Dmitry Stakheev

588 total citations
29 papers, 445 citations indexed

About

Dmitry Stakheev is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Dmitry Stakheev has authored 29 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 9 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Dmitry Stakheev's work include Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (4 papers). Dmitry Stakheev is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (4 papers). Dmitry Stakheev collaborates with scholars based in Czechia, Russia and United States. Dmitry Stakheev's co-authors include Daniel Smrž, Luca Vannucci, J Křižan, Jiřina Bartůňková, Vratislav Horák, Petr Šíma, Zuzana Střížová, Jan Lašťovička, Л. Н. Маслов and Alberto Boffi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Dmitry Stakheev

27 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmitry Stakheev Czechia 9 164 105 95 73 65 29 445
Peng Fan China 12 211 1.3× 129 1.2× 104 1.1× 56 0.8× 40 0.6× 32 493
Rui Han China 12 211 1.3× 71 0.7× 53 0.6× 36 0.5× 66 1.0× 52 676
Fengjiao Yuan China 14 232 1.4× 182 1.7× 97 1.0× 46 0.6× 53 0.8× 32 560
Ying Chu China 15 264 1.6× 94 0.9× 39 0.4× 52 0.7× 49 0.8× 37 560
Priyanka Prajapati India 9 188 1.1× 71 0.7× 131 1.4× 107 1.5× 45 0.7× 31 521
Bei Yue China 15 299 1.8× 71 0.7× 65 0.7× 22 0.3× 44 0.7× 21 557
Arshad Ahmed Padhiar China 13 276 1.7× 47 0.4× 36 0.4× 54 0.7× 69 1.1× 22 525
Ali Anissian Iran 11 151 0.9× 72 0.7× 51 0.5× 34 0.5× 30 0.5× 21 365
Isabella Gigante Italy 15 298 1.8× 104 1.0× 103 1.1× 45 0.6× 60 0.9× 32 775
Dongyu Liang China 14 153 0.9× 81 0.8× 40 0.4× 33 0.5× 36 0.6× 31 434

Countries citing papers authored by Dmitry Stakheev

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Stakheev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Stakheev

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Stakheev. A scholar is included among the top collaborators of Dmitry Stakheev 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 Dmitry Stakheev. Dmitry Stakheev 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.
Vannucci, Luca, Dmitry Stakheev, P. Tenti, et al.. (2025). The tumor immune microenvironment as a target for nano-therapies and patient-tailored treatments.. 8(CITIM). 52–52.
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Bartolini, Robin, Lily Koumbas Foley, Dmitry Stakheev, et al.. (2024). Distinct leukocyte populations and cytokine secretion profiles define tumoral and peritumoral areas in renal cell carcinoma. Translational Oncology. 42. 101891–101891. 1 indexed citations
4.
Stakheev, Dmitry, Karolína Strnadová, Lukáš Lacina, et al.. (2023). Novel PD-L1- and collagen-expressing patient-derived cell line of undifferentiated pleomorphic sarcoma (JBT19) as a model for cancer immunotherapy. Scientific Reports. 13(1). 19079–19079. 2 indexed citations
5.
Stakheev, Dmitry, et al.. (2022). Effectiveness and Durability of mRNA Vaccine-Induced SARS-CoV-2-Specific Humoral and Cellular Immunity in Severe Asthma Patients on Biological Therapy. Frontiers in Immunology. 13. 892277–892277. 10 indexed citations
6.
Curcio, Claudia, Cecilia Roux, Wanda Y. Li, et al.. (2021). IL17A critically shapes the transcriptional program of fibroblasts in pancreatic cancer and switches on their protumorigenic functions. Proceedings of the National Academy of Sciences. 118(6). 39 indexed citations
7.
Lašťovička, Jan, et al.. (2021). SARS‐CoV‐2 spike glycoprotein‐reactive T cells can be readily expanded from COVID‐19 vaccinated donors. Immunity Inflammation and Disease. 9(4). 1452–1467. 9 indexed citations
8.
Střížová, Zuzana, et al.. (2021). CD4+ T Cells of Prostate Cancer Patients Have Decreased Immune Responses to Antigens Derived From SARS-CoV-2 Spike Glycoprotein. Frontiers in Immunology. 12. 629102–629102. 7 indexed citations
9.
Stakheev, Dmitry, Oleksandr Chernyavskiy, Lucie Kubínová, et al.. (2021). Local Immune Changes in Early Stages of Inflammation and Carcinogenesis Correlate with the Collagen Scaffold Changes of the Colon Mucosa. Cancers. 13(10). 2463–2463. 3 indexed citations
10.
Střížová, Zuzana, Martin Snajdauf, Dmitry Stakheev, et al.. (2020). The paratumoral immune cell signature reveals the potential for the implementation of immunotherapy in esophageal carcinoma patients. Journal of Cancer Research and Clinical Oncology. 146(8). 1979–1992. 12 indexed citations
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Střížová, Zuzana, Dmitry Stakheev, Simona Partlová, et al.. (2019). NK and T cells with a cytotoxic/migratory phenotype accumulate in peritumoral tissue of patients with clear cell renal carcinoma. Urologic Oncology Seminars and Original Investigations. 37(7). 503–509. 17 indexed citations
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Vannucci, Luca, et al.. (2013). Immunostimulatory properties and antitumor activities of glucans. International Journal of Oncology. 43(2). 357–364. 170 indexed citations
16.
IuB, Lishmanov, Dmitry Stakheev, А. В. Крылатов, et al.. (2008). Myocardial resistance to ischemic and reperfusion injuries under conditions of chronic administration of opioid receptor agonists and antagonists. Bulletin of Experimental Biology and Medicine. 145(6). 696–699. 2 indexed citations
17.
Ošťádal, B, et al.. (2008). Role of ATP-sensitive K+-channels in antiarrhythmic and cardioprotective action of adaptation to intermittent hypobaric hypoxia. Bulletin of Experimental Biology and Medicine. 145(4). 418–421. 7 indexed citations
18.
Маслов, Л. Н., Lishmanov IuB, N. V. Naryzhnaya, et al.. (2005). Role of Endogenous Opioid Receptor Agonists in Regulation of Heart Resistence to the Arrhythmogenic Action of Short-Term Ischemia and Reperfusion. Bulletin of Experimental Biology and Medicine. 139(2). 172–175. 3 indexed citations
19.
Маслов, Л. Н., et al.. (2005). [The mechanism of antiarrhythmic action of the endogenous ORL1 receptor agonist nociceptin].. PubMed. 67(6). 32–5. 2 indexed citations
20.
IuB, Lishmanov, Л. Н. Маслов, А. В. Крылатов, Nataliya V. Solenkova, & Dmitry Stakheev. (2003). Possible Mechanism Underlying the Antiarrhythmic Effect of Peptides Nociceptin and DALDA on the Heart. Bulletin of Experimental Biology and Medicine. 135(1). 55–58. 2 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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