М. Р. Патышева

803 total citations
31 papers, 525 citations indexed

About

М. Р. Патышева is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, М. Р. Патышева has authored 31 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 19 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in М. Р. Патышева's work include Immune cells in cancer (16 papers), Extracellular vesicles in disease (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). М. Р. Патышева is often cited by papers focused on Immune cells in cancer (16 papers), Extracellular vesicles in disease (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). М. Р. Патышева collaborates with scholars based in Russia, Germany and United States. М. Р. Патышева's co-authors include Irina Larionova, Julia Kzhyshkowska, Н. В. Чердынцева, Militsa Rakina, Tengfei Liu, Elena Kazakova, Alina Grigor’eva, Evgeny V. Denisov, N. V. Yunusova and Svetlana Tamkovich and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Annals of Oncology.

In The Last Decade

М. Р. Патышева

27 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
М. Р. Патышева Russia	9	299	231	189	106	61	31	525
Wenchao Wu China	8	273 0.9×	178 0.8×	197 1.0×	122 1.2×	35 0.6×	14	488
Siti‐Faujiah Hendrayani Saudi Arabia	8	128 0.4×	267 1.2×	339 1.8×	89 0.8×	51 0.8×	8	532
Yi‐Jing Hsiao Taiwan	10	200 0.7×	272 1.2×	187 1.0×	103 1.0×	107 1.8×	16	520
Naoshi Kawamura Japan	10	204 0.7×	156 0.7×	233 1.2×	57 0.5×	46 0.8×	12	456
Pan Chen China	5	115 0.4×	122 0.5×	138 0.7×	71 0.7×	70 1.1×	14	350
Renske de Korte‐Grimmerink Netherlands	6	166 0.6×	294 1.3×	294 1.6×	101 1.0×	61 1.0×	6	537
Wenna Jiang China	12	124 0.4×	201 0.9×	169 0.9×	124 1.2×	56 0.9×	23	400
Elena Vagia United States	9	82 0.3×	226 1.0×	256 1.4×	153 1.4×	125 2.0×	25	493
Fabio Scirocchi Italy	10	155 0.5×	130 0.6×	193 1.0×	87 0.8×	83 1.4×	15	395
Eman Barhoush Saudi Arabia	6	239 0.8×	124 0.5×	381 2.0×	66 0.6×	57 0.9×	6	536

Countries citing papers authored by М. Р. Патышева

Since Specialization

Citations

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

Fields of papers citing papers by М. Р. Патышева

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by М. Р. Патышева. 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 М. Р. Патышева. The network helps show where М. Р. Патышева may publish in the future.

Co-authorship network of co-authors of М. Р. Патышева

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

All Works

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20 of 20 papers shown

Патышева, М. Р., et al.. (2025). Single-cell transcriptomic profiling of immune landscape in triple-negative breast cancer during neoadjuvant chemotherapy. npj Systems Biology and Applications. 11(1). 72–72.

Choynzonov, Е. L., et al.. (2025). mRNA-based personalized cancer vaccines: opportunities, challenges and outcomes. PubMed. 17(4). 17–37.

Chagovets, Vitaliy, Natalia Starodubtseva, М. Р. Патышева, et al.. (2024). Specific changes in amino acid profiles in monocytes of patients with breast, lung, colorectal and ovarian cancers. Frontiers in Immunology. 14. 1332043–1332043. 8 indexed citations

Патышева, М. Р., et al.. (2024). Premalignant lesions of the oral cavity: a narrative review of factors and mechanisms of transformation into cancer. International Journal of Oral and Maxillofacial Surgery. 54(6). 479–493. 4 indexed citations

Патышева, М. Р., et al.. (2023). Molecular Landscape of Oral Cancer in Young Adults. Russian Journal of Genetics. 59(11). 1190–1201.

Патышева, М. Р., et al.. (2023). Dual-Specificity Phosphatases in Regulation of Tumor-Associated Macrophage Activity. International Journal of Molecular Sciences. 24(24). 17542–17542. 3 indexed citations

Патышева, М. Р., et al.. (2023). Preparation of a Single-Cell Suspension from Tumor Biopsy Samples for Single-Cell RNA Sequencing. Bulletin of Experimental Biology and Medicine. 175(4). 519–523. 2 indexed citations

Патышева, М. Р., et al.. (2023). Preparation of a single-cell suspension from a tumor biopsy samples for scRNA sequencing. Bulletin of Experimental Biology and Medicine. 175(4). 523–528. 1 indexed citations

Larionova, Irina, М. Р. Патышева, Elena Kazakova, et al.. (2023). PFKFB3 overexpression in monocytes of patients with colon but not rectal cancer programs pro-tumor macrophages and is indicative for higher risk of tumor relapse. Frontiers in Immunology. 13. 1080501–1080501. 19 indexed citations

10.

Yunusova, N. V., et al.. (2022). Matrix metalloproteinases and heat shock proteins on extracellular vesicles in colorectal cancer patients: association with metabolic status. SHILAP Revista de lepidopterología. 9(3). 38–48.

11.

Патышева, М. Р., et al.. (2022). Monocyte programming by cancer therapy. Frontiers in Immunology. 13. 994319–994319. 40 indexed citations

12.

Патышева, М. Р., et al.. (2022). Peculiarities of amino acid profile in monocytes in breast cancer. Bulletin of Russian State Medical University. 1 indexed citations

13.

Yunusova, N. V., et al.. (2021). Plasma Exosomes of Patients with Breast and Ovarian Tumors Contain an Inactive 20S Proteasome. Molecules. 26(22). 6965–6965. 10 indexed citations

14.

Larionova, Irina, Elena Kazakova, М. Р. Патышева, & Julia Kzhyshkowska. (2020). Transcriptional, Epigenetic and Metabolic Programming of Tumor-Associated Macrophages. Cancers. 12(6). 1411–1411. 77 indexed citations

15.

Патышева, М. Р., et al.. (2019). Exosomal proteases in colorectal cancer. SHILAP Revista de lepidopterología. 5(4). 117–126. 1 indexed citations

16.

Патышева, М. Р., et al.. (2019). Cytostatic cancer therapy modulates monocyte-macrophage cell functions: how it impacts on treatment outcomes. Experimental Oncology. 41(3). 248–253. 3 indexed citations

17.

Larionova, Irina, Vladimir Riabov, М. Р. Патышева, et al.. (2019). The clearance of EGF by tumor-associated macrophages is suppressed by chemotherapeutic agent cisplatin. Annals of Oncology. 30. v810–v810. 3 indexed citations

18.

Tamkovich, Svetlana, et al.. (2019). Relation between Tetraspanin- Associated and Tetraspanin- Non- Associated Exosomal Proteases and Metabolic Syndrome in Colorectal Cancer Patients. Asian Pacific Journal of Cancer Prevention. 20(3). 809–815. 5 indexed citations

19.

Патышева, М. Р., et al.. (2019). Monocytes and cancer: promising role as a diagnostic marker and application in therapy. SHILAP Revista de lepidopterología. 18(1). 60–75. 4 indexed citations

20.

Чердынцева, Н. В., et al.. (2017). Macrophages and tumor progression: on the way to macrophage-specific therapy. Bulletin of Siberian Medicine. 16(4). 61–74. 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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