Natalia Miheecheva

713 total citations
7 papers, 85 citations indexed

About

Natalia Miheecheva is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Natalia Miheecheva has authored 7 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Natalia Miheecheva's work include Cancer Genomics and Diagnostics (4 papers), Renal cell carcinoma treatment (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Natalia Miheecheva is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Renal cell carcinoma treatment (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Natalia Miheecheva collaborates with scholars based in United States and Italy. Natalia Miheecheva's co-authors include Ravshan Ataullakhanov, Xiaowei Wang, Jin Zhang, David G. DeNardo, Subhajit Ghosh, Ekaterina Tikhonova, Felix Frenkel, Dinesh Thotala, Matthew Inkman and Jiayi Huang and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and Science Translational Medicine.

In The Last Decade

Natalia Miheecheva

5 papers receiving 84 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Natalia Miheecheva United States	3	43	36	24	17	15	7	85
Ekaterina Tikhonova United States	2	36 0.8×	35 1.0×	26 1.1×	8 0.5×	15 1.0×	2	79
Ekaterina Postovalova United States	6	33 0.8×	27 0.8×	27 1.1×	27 1.6×	4 0.3×	25	98
Jennifer H. Choe United States	6	88 2.0×	41 1.1×	46 1.9×	14 0.8×	6 0.4×	23	158
Atousa Khiabany United Kingdom	3	16 0.4×	46 1.3×	22 0.9×	9 0.5×	9 0.6×	4	69
Lucía Zhu Spain	6	42 1.0×	9 0.3×	27 1.1×	13 0.8×	20 1.3×	10	92
Laura Ruiz Martín Spain	3	34 0.8×	34 0.9×	28 1.2×	8 0.5×	35 2.3×	4	93
Katharina A.M. Lindner Germany	6	40 0.9×	40 1.1×	30 1.3×	7 0.4×	22 1.5×	6	77
Ana Alcaraz‐Serna Spain	4	30 0.7×	41 1.1×	45 1.9×	12 0.7×	7 0.5×	5	106
Alejandra G. Serrano United States	3	28 0.7×	22 0.6×	39 1.6×	20 1.2×	9 0.6×	5	92
Subha Vogeti United States	5	33 0.8×	18 0.5×	34 1.4×	6 0.4×	8 0.5×	8	104

Countries citing papers authored by Natalia Miheecheva

Since Specialization

Citations

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

Fields of papers citing papers by Natalia Miheecheva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Miheecheva

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

All Works

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7 of 7 papers shown

Miheecheva, Natalia, Ekaterina Postovalova, Yang Lyu, et al.. (2025). AI-driven multimodal algorithm predicts immunotherapy and targeted therapy outcomes in clear cell renal cell carcinoma. Cell Reports Medicine. 6(8). 102299–102299. 1 indexed citations

Ghosh, Subhajit, Jiayi Huang, Matthew Inkman, et al.. (2023). Radiation-induced circulating myeloid-derived suppressor cells induce systemic lymphopenia after chemoradiotherapy in patients with glioblastoma. Science Translational Medicine. 15(680). eabn6758–eabn6758. 60 indexed citations

Sternberg, Cora N., Nara Shin, Fabio Calabrò, et al.. (2022). Case report: Metastatic urothelial cancer with an exceptional response to immunotherapy and comprehensive understanding of the tumor and the tumor microenvironment. Frontiers in Oncology. 12. 1006017–1006017. 2 indexed citations

Miheecheva, Natalia, Ekaterina Postovalova, Yang Lyu, et al.. (2022). Multiregional single-cell proteogenomic analysis of ccRCC reveals cytokine drivers of intratumor spatial heterogeneity. Cell Reports. 40(7). 111180–111180. 21 indexed citations

Sorokina, Maria, Yang Lyu, Akshaya Ramachandran, et al.. (2021). Diagnostic Utility of RNA-Seq for Evaluation of PD-L1 Expression in Clear Cell Renal Cell Carcinoma. Clinical Genitourinary Cancer. 19(6). e374–e381.

Hsieh, James J., Natalia Miheecheva, Akshaya Ramachandran, et al.. (2020). Integrated single-cell spatial multi-omics of intratumor heterogeneity in renal cell carcinoma.. Journal of Clinical Oncology. 38(15_suppl). e17106–e17106. 1 indexed citations

Lizée, Gregory, Patrick Hwu, Xuexiang Du, et al.. (2019). The role of EGFR inhibitor (EGFRi) in immune cell infiltration and CD8+ T-cell activation in EGFR mutant lung cancer. Annals of Oncology. 30. v2–v2.

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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