Boris Minev

2.6k total citations
61 papers, 2.1k citations indexed

About

Boris Minev is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Boris Minev has authored 61 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 28 papers in Molecular Biology and 26 papers in Oncology. Recurrent topics in Boris Minev's work include Immunotherapy and Immune Responses (26 papers), Virus-based gene therapy research (14 papers) and CAR-T cell therapy research (12 papers). Boris Minev is often cited by papers focused on Immunotherapy and Immune Responses (26 papers), Virus-based gene therapy research (14 papers) and CAR-T cell therapy research (12 papers). Boris Minev collaborates with scholars based in United States, Germany and China. Boris Minev's co-authors include Neil H Riordan, Thomas E. Ichim, Robert J. Harman, Amit N. Patel, Wenxue Ma, Joseph D. Schmidt, Hüseyin Firat, Maurizio Zanetti, Jason Hipp and Aladar A. Szalay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Boris Minev

59 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boris Minev United States 26 824 792 535 517 319 61 2.1k
Hideyo Hirai Japan 33 1.4k 1.8× 1.4k 1.7× 402 0.8× 792 1.5× 168 0.5× 105 3.4k
Hayley S. Ramshaw Australia 28 1.1k 1.3× 1.1k 1.4× 354 0.7× 752 1.5× 143 0.4× 54 2.8k
Diptiman Chanda United States 23 990 1.2× 244 0.3× 413 0.8× 551 1.1× 358 1.1× 37 2.2k
Shadmehr Demehri United States 29 868 1.1× 927 1.2× 304 0.6× 1.0k 2.0× 147 0.5× 92 3.2k
Giuseppina Bonanno Italy 25 1.1k 1.3× 859 1.1× 579 1.1× 690 1.3× 405 1.3× 52 2.6k
Ewa Carrier United States 23 671 0.8× 659 0.8× 285 0.5× 678 1.3× 179 0.6× 70 2.0k
Fawzia Louache France 37 1.0k 1.3× 1.3k 1.6× 633 1.2× 827 1.6× 115 0.4× 92 3.8k
Nicolaas H. C. Brons Luxembourg 25 701 0.9× 691 0.9× 397 0.7× 566 1.1× 79 0.2× 56 2.1k
Yuji Kashiwakura Japan 24 954 1.2× 460 0.6× 174 0.3× 265 0.5× 173 0.5× 68 2.0k
Rémi Favier France 33 816 1.0× 504 0.6× 680 1.3× 120 0.2× 159 0.5× 94 3.2k

Countries citing papers authored by Boris Minev

Since Specialization
Citations

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

Fields of papers citing papers by Boris Minev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boris Minev

This figure shows the co-authorship network connecting the top 25 collaborators of Boris Minev. A scholar is included among the top collaborators of Boris Minev 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 Boris Minev. Boris Minev 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.
Ichim, Thomas E., Gilberto Lopes, Boris Minev, et al.. (2025). Reduction of solid tumors by senescent cell immunization. Journal of Translational Medicine. 23(1). 1365–1365.
2.
Kang, Yunyi, et al.. (2024). Transforming tumor immune microenvironments with a novel systemic enveloped oncolytic virotherapy targeting all tumor sites.. Journal of Clinical Oncology. 42(16_suppl). 2559–2559.
3.
Juarez, Tiffany, et al.. (2024). Neoadjuvant clinical trials in adults with newly diagnosed high-grade glioma: A systematic review. Critical Reviews in Oncology/Hematology. 206. 104596–104596. 1 indexed citations
4.
Rogers, Christopher J., Robert J. Harman, Bruce A. Bunnell, et al.. (2020). Rationale for the clinical use of adipose-derived mesenchymal stem cells for COVID-19 patients. Journal of Translational Medicine. 18(1). 203–203. 83 indexed citations
5.
Lu, Lingeng, et al.. (2017). IFNγ enhances cytotoxic efficiency of the cytotoxic T lymphocytes against human glioma cells. International Immunopharmacology. 47. 159–165. 23 indexed citations
6.
Chen, Tony, et al.. (2015). Overcoming tumor immune evasion with an unique arbovirus. Journal of Translational Medicine. 13(1). 3–3. 4 indexed citations
7.
Chen, Nanhai G., Boris Minev, Martina Zimmermann, et al.. (2013). Optical Detection and Virotherapy of Live Metastatic Tumor Cells in Body Fluids with Vaccinia Strains. PLoS ONE. 8(9). e71105–e71105. 8 indexed citations
8.
Chen, Nanhai G., et al.. (2012). Oncolytic vaccinia virus GLV-1h68 strain shows enhanced replication in human breast cancer stem-like cells in comparison to breast cancer cells. Journal of Translational Medicine. 10(1). 167–167. 50 indexed citations
9.
Rodríguez, Jorge Paz, Michael P. Murphy, Keith L. March, et al.. (2012). Autologous stromal vascular fraction therapy for rheumatoid arthritis: rationale and clinical safety. International Archives of Medicine. 5(1). 5–5. 36 indexed citations
10.
Virtuoso, Lauren P., Jamie L. Harden, Paula Sotomayor, et al.. (2012). Characterization of iNOS+ Neutrophil-like ring cell in tumor-bearing mice. Journal of Translational Medicine. 10(1). 152–152. 33 indexed citations
11.
Ichim, Thomas E., Boris Minev, Todd A. Braciak, et al.. (2011). Intravenous ascorbic acid to prevent and treat cancer-associated sepsis?. Journal of Translational Medicine. 9(1). 25–25. 22 indexed citations
12.
Clawson, Corbin, Diahnn Futalan, Marie Larsson, et al.. (2010). Delivery of a peptide via poly(d,l-lactic-co-glycolic) acid nanoparticles enhances its dendritic cell–stimulatory capacity. Nanomedicine Nanotechnology Biology and Medicine. 6(5). 651–661. 73 indexed citations
13.
Ichim, Thomas E., Fabio Solano, Boris Minev, et al.. (2010). Combination stem cell therapy for heart failure. International Archives of Medicine. 3(1). 5–5. 30 indexed citations
14.
Zhong, Zhaohui, Amit N. Patel, Thomas E. Ichim, et al.. (2009). Feasibility investigation of allogeneic endometrial regenerative cells. Journal of Translational Medicine. 7(1). 15–15. 109 indexed citations
15.
Basak, Grzegorz, et al.. (2009). Human embryonic stem cells hemangioblast express HLA-antigens. Journal of Translational Medicine. 7(1). 27–27. 22 indexed citations
16.
Ichim, Thomas E., Zhaohui Zhong, Shalesh Kaushal, et al.. (2008). Exosomes as a tumor immune escape mechanism: possible therapeutic implications. Journal of Translational Medicine. 6(1). 37–37. 81 indexed citations
17.
Datta, Sandip K., Wenxue Ma, Huan Yang, et al.. (2006). Dendritic cell activating peptides induce distinct cytokine profiles. International Immunology. 18(11). 1563–1573. 47 indexed citations
18.
Minev, Boris. (2002). Melanoma vaccines. Seminars in Oncology. 29(5). 479–493. 14 indexed citations
19.
Mitchell, Malcolm S., June Kan‐Mitchell, Boris Minev, Carl F. Edman, & Robert Deans. (2000). A novel melanoma gene (MG50) encoding the interleukin 1 receptor antagonist and six epitopes recognized by human cytolytic T lymphocytes.. Cancer Research. 60(22). 6448–56. 32 indexed citations
20.
Minev, Boris, et al.. (1999). Cancer Vaccines. Pharmacology & Therapeutics. 81(2). 121–139. 22 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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