Alexander Bagaev

3.5k total citations · 2 hit papers
32 papers, 1.5k citations indexed

About

Alexander Bagaev is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Alexander Bagaev has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 12 papers in Pulmonary and Respiratory Medicine and 12 papers in Oncology. Recurrent topics in Alexander Bagaev's work include Cancer Genomics and Diagnostics (12 papers), Lymphoma Diagnosis and Treatment (8 papers) and Immune Response and Inflammation (6 papers). Alexander Bagaev is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Lymphoma Diagnosis and Treatment (8 papers) and Immune Response and Inflammation (6 papers). Alexander Bagaev collaborates with scholars based in United States, Russia and Canada. Alexander Bagaev's co-authors include Nikita Kotlov, Ravshan Ataullakhanov, Nathan Fowler, Viktor Svekolkin, Krystle Nomie, Maria Tsiper, Felix Frenkel, Nava Almog, Azamat Gafurov and Olga Gancharova and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Alexander Bagaev

25 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Conserved pan-cancer microenvironment subtypes predict response to immunotherapy

2021 700 citations Alexander Bagaev, Nikita Kotlov et al. Cancer Cell profile →
A Probabilistic Classification Tool for Genetic Subtypes of Diffuse Large B Cell Lymphoma with Therapeutic Implications

2020 583 citations George W. Wright, Da Wei Huang et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Bagaev United States	11	779	531	508	441	327	32	1.5k
Dakeun Lee South Korea	23	581 0.7×	201 0.4×	603 1.2×	192 0.4×	313 1.0×	74	1.4k
Mamta Gupta United States	26	754 1.0×	824 1.6×	1.2k 2.4×	524 1.2×	380 1.2×	66	2.3k
Hamid Masoudi Canada	17	663 0.9×	349 0.7×	741 1.5×	304 0.7×	228 0.7×	28	1.6k
Lan V. Pham United States	23	556 0.7×	580 1.1×	822 1.6×	583 1.3×	307 0.9×	57	1.7k
Francesco Galimi Italy	24	1.2k 1.5×	322 0.6×	1.1k 2.2×	286 0.6×	458 1.4×	35	2.5k
Darrin M. Beaupre United States	20	652 0.8×	580 1.1×	502 1.0×	151 0.3×	104 0.3×	49	1.4k
Katherine E. Hutchinson United States	19	920 1.2×	201 0.4×	972 1.9×	145 0.3×	595 1.8×	48	1.8k
Laurence Cooke United States	19	505 0.6×	213 0.4×	532 1.0×	215 0.5×	105 0.3×	39	1.1k
Ingo Ringshausen Germany	21	739 0.9×	387 0.7×	1.0k 2.1×	335 0.8×	213 0.7×	47	1.8k
Subhadra V. Nandula United States	16	894 1.1×	885 1.7×	1.4k 2.7×	690 1.6×	782 2.4×	30	2.7k

Countries citing papers authored by Alexander Bagaev

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Bagaev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Bagaev

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Bagaev. A scholar is included among the top collaborators of Alexander Bagaev 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 Alexander Bagaev. Alexander Bagaev 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

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

Postovalova, Ekaterina, et al.. (2024). An unsupervised H&E-based machine-learning approach for precise prediction of tumor microenvironment subtypes.. Journal of Clinical Oncology. 42(16_suppl). e13593–e13593. 1 indexed citations

Cooper, Alan, Girish Venkataraman, Joo Y. Song, et al.. (2023). CD5 Gene Signature Identifies Diffuse Large B-Cell Lymphomas Sensitive to Brutonʼs Tyrosine Kinase Inhibition. Journal of Clinical Oncology. 42(4). 467–480. 10 indexed citations

Svekolkin, Viktor, Tania Pannellini, Ekaterina Postovalova, et al.. (2023). Spatial mapping of human hematopoiesis at single-cell resolution reveals aging-associated topographic remodeling. Blood. 142(26). 2282–2295. 11 indexed citations

Godfrey, James, Xiufen Chen, Nicole Sunseri, et al.. (2023). TIGIT is a key inhibitory checkpoint receptor in lymphoma. Journal for ImmunoTherapy of Cancer. 11(6). e006582–e006582. 13 indexed citations

Cooper, Alan, Girish Venkataraman, Joo Y. Song, et al.. (2023). A CD5 Gene Signature Identifies Diffuse Large B-Cell Lymphomas Sensitive to Brutonʼs Tyrosine Kinase Inhibition. Blood. 142(Supplement 1). 851–851. 2 indexed citations

Chihara, Dai, Kumudha Balakrishnan, Alexander Bagaev, et al.. (2023). Test-the-Test: Clinical Utility of Comprehensive Whole Exome Sequencing and RNA-Seq for Patients with Lymphoma. Blood. 142(Supplement 1). 7155–7155. 1 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

Bagaev, Alexander, et al.. (2021). Synergism of TLR3 and TLR4 agonists during macrophage reprogramming into an antitumor state. Immunologiya. 42(6). 615–630. 5 indexed citations

10.

Bagaev, Alexander, Nikita Kotlov, Krystle Nomie, et al.. (2021). Conserved pan-cancer microenvironment subtypes predict response to immunotherapy. Cancer Cell. 39(6). 845–865.e7. 700 indexed citations breakdown →

11.

Bagaev, Alexander, et al.. (2021). Combined immunotherapy of metastatic carcinoma by resection of the primary tumor and subsequent reprogramming of macrophages and dendritic cells using a TLR4 agonist in laboratory mice. Immunologiya. 42(5). 490–501. 3 indexed citations

12.

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.

13.

Kotlov, Nikita, Sandrine Degryse, Alban J. Linnenbach, et al.. (2021). Abstract 1441: Predictors of treatment response in a preoperative window of opportunity trial of nivolumab in resectable squamous cell carcinoma of the head and neck. Cancer Research. 81(13_Supplement). 1441–1441.

14.

Wright, George W., Da Wei Huang, James D. Phelan, et al.. (2020). A Probabilistic Classification Tool for Genetic Subtypes of Diffuse Large B Cell Lymphoma with Therapeutic Implications. Cancer Cell. 37(4). 551–568.e14. 583 indexed citations breakdown →

15.

Bagaev, Alexander, et al.. (2019). Elevated pre-activation basal level of nuclear NF-κB in native macrophages accelerates LPS-induced translocation of cytosolic NF-κB into the cell nucleus. Scientific Reports. 9(1). 4563–4563. 73 indexed citations

16.

Bagaev, Alexander, Pichugin Av, Edward L. Nelson, et al.. (2018). Anticancer Mechanisms in Two Murine Bone Marrow–Derived Dendritic Cell Subsets Activated with TLR4 Agonists. The Journal of Immunology. 200(8). 2656–2669. 8 indexed citations

17.

Bagaev, Alexander, Pichugin Av, И. Л. Тутыхина, et al.. (2018). The differences in immunoadjuvant mechanisms of TLR3 and TLR4 agonists on the level of antigen-presenting cells during immunization with recombinant adenovirus vector. BMC Immunology. 19(1). 26–26. 12 indexed citations

18.

Тутыхина, И. Л., I. B. Esmagambetov, Alexander Bagaev, et al.. (2018). Vaccination potential of B and T epitope-enriched NP and M2 against Influenza A viruses from different clades and hosts. PLoS ONE. 13(1). e0191574–e0191574. 29 indexed citations

19.

Ghochikyan, Anahit, Pichugin Av, Alexander Bagaev, et al.. (2014). Targeting TLR-4 with a novel pharmaceutical grade plant derived agonist, Immunomax®, as a therapeutic strategy for metastatic breast cancer. Journal of Translational Medicine. 12(1). 322–322. 31 indexed citations

20.

Ghochikyan, Anahit, Arpine Davtyan, Armine Hovakimyan, et al.. (2013). Primary 4T1 tumor resection provides critical “window of opportunity” for immunotherapy. Clinical & Experimental Metastasis. 31(2). 185–198. 23 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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