Vera Levina

1.4k total citations
18 papers, 1.1k citations indexed

About

Vera Levina is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vera Levina has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vera Levina's work include Cancer Cells and Metastasis (7 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Effects of Radiation Exposure (3 papers). Vera Levina is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Effects of Radiation Exposure (3 papers). Vera Levina collaborates with scholars based in United States, Slovakia and Canada. Vera Levina's co-authors include Elieser Gorelik, Anna Lokshin, Adele Marrangoni, Richard DeMarco, Yunyun Su, Michael W. Epperly, Per Basse, Chitralekha Bhattacharya, Brian M. Nolen and Michael K. Gibson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Vera Levina

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vera Levina United States	13	688	581	296	178	141	18	1.1k
Ylenia Lombardo United Kingdom	18	702 1.0×	815 1.4×	459 1.6×	202 1.1×	120 0.9×	20	1.4k
Kideok Jin United States	20	580 0.8×	864 1.5×	310 1.0×	176 1.0×	129 0.9×	28	1.3k
Wan-Ching Yen United States	17	590 0.9×	912 1.6×	232 0.8×	131 0.7×	99 0.7×	47	1.3k
Katsuhide Yoshidome Japan	16	580 0.8×	610 1.0×	271 0.9×	126 0.7×	135 1.0×	61	1.3k
Laura G.M. Daenen Netherlands	14	679 1.0×	612 1.1×	424 1.4×	216 1.2×	192 1.4×	30	1.3k
Amanda K. Paulson United States	6	1.0k 1.5×	798 1.4×	368 1.2×	163 0.9×	116 0.8×	8	1.4k
М. V. Zavyalova Russia	19	578 0.8×	475 0.8×	322 1.1×	226 1.3×	149 1.1×	76	1.1k
Alexei V. Salnikov Germany	17	802 1.2×	870 1.5×	433 1.5×	183 1.0×	153 1.1×	23	1.6k
Nathan G. Dolloff United States	19	515 0.7×	877 1.5×	296 1.0×	201 1.1×	148 1.0×	41	1.4k
Shinichi Yabuuchi Japan	15	654 1.0×	761 1.3×	449 1.5×	205 1.2×	118 0.8×	27	1.4k

Countries citing papers authored by Vera Levina

Since Specialization

Citations

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

Fields of papers citing papers by Vera Levina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Levina

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

All Works

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18 of 18 papers shown

Wang, Yangyang, Xiao Zhang, Nan Zhang, et al.. (2017). A novel chemoradiation targeting stem and nonstem pancreatic cancer cells by repurposing disulfiram. Cancer Letters. 409. 9–19. 56 indexed citations

Bhattacharya, Chitralekha, Michael W. Epperly, Per Basse, et al.. (2015). The HSP90 Inhibitor Ganetespib Radiosensitizes Human Lung Adenocarcinoma Cells. Cancers. 7(2). 876–907. 18 indexed citations

Epperly, Michael W., et al.. (2015). Radioresistant human lung adenocarcinoma cells that survived multiple fractions of ionizing radiation are sensitive to HSP90 inhibition. Oncotarget. 6(42). 44306–44322. 25 indexed citations

Bhattacharya, Chitralekha, et al.. (2014). Abstract 4894: The HSP90 inhibitor ganetespib potentiates effect of ionizing radiation in human non-small cell lung cancer. Cancer Research. 74(19_Supplement). 4894–4894. 1 indexed citations

Bhattacharya, Chitralekha, Lisa A. Bailey, Per Basse, et al.. (2013). Non-small cell lung cancer cells survived ionizing radiation treatment display cancer stem cell and epithelial-mesenchymal transition phenotypes. Molecular Cancer. 12(1). 94–94. 184 indexed citations

Levina, Vera, Yunyun Su, & Elieser Gorelik. (2012). Immunological and Nonimmunological Effects of Indoleamine 2,3-Dioxygenase on Breast Tumor Growth and Spontaneous Metastasis Formation. SHILAP Revista de lepidopterología. 2012. 1–12. 39 indexed citations

Gorelik, Elieser, Anna Lokshin, & Vera Levina. (2010). Lung Cancer Stem Cells as a Target for Therapy. Anti-Cancer Agents in Medicinal Chemistry. 10(2). 164–171. 34 indexed citations

Levina, Vera, Adele Marrangoni, Tingting Wang, et al.. (2010). Abstract 4272: Elimination of human lung cancer stem cells through targeting of the SCF-c-kit autocrine signaling loop. Cancer Research. 70(8_Supplement). 4272–4272. 1 indexed citations

Levina, Vera, Brian M. Nolen, Andrew K. Godwin, et al.. (2009). Biological Significance of Prolactin in Gynecologic Cancers. Cancer Research. 69(12). 5226–5233. 75 indexed citations

10.

Levina, Vera, Adele Marrangoni, Tingting Wang, et al.. (2009). Elimination of Human Lung Cancer Stem Cells through Targeting of the Stem Cell Factor–c-kit Autocrine Signaling Loop. Cancer Research. 70(1). 338–346. 124 indexed citations

11.

Efimova, Elena V., Hua Liang, Sean P. Pitroda, et al.. (2009). Radioresistance of Stat1 over-expressing tumour cells is associated with suppressed apoptotic response to cytotoxic agents and increased IL6-IL8 signalling. International Journal of Radiation Biology. 85(5). 421–431. 45 indexed citations

12.

Levina, Vera, et al.. (2009). Radioresistance of Non-small Cell Lung Cancer Stem Cells. International Journal of Radiation Oncology*Biology*Physics. 75(3). S542–S543. 2 indexed citations

13.

Levina, Vera, Brian M. Nolen, Adele Marrangoni, et al.. (2009). Role of Eotaxin-1 Signaling in Ovarian Cancer. Clinical Cancer Research. 15(8). 2647–2656. 83 indexed citations

14.

Levina, Vera, Adele Marrangoni, Richard DeMarco, Elieser Gorelik, & Anna Lokshin. (2008). Drug-Selected Human Lung Cancer Stem Cells: Cytokine Network, Tumorigenic and Metastatic Properties. PLoS ONE. 3(8). e3077–e3077. 347 indexed citations

15.

Levina, Vera, Adele Marrangoni, Richard DeMarco, Elieser Gorelik, & Anna Lokshin. (2008). Multiple effects of TRAIL in human carcinoma cells: Induction of apoptosis, senescence, proliferation, and cytokine production. Experimental Cell Research. 314(7). 1605–1616. 17 indexed citations

16.

Levina, Vera, Yunyun Su, Brian M. Nolen, et al.. (2008). Chemotherapeutic drugs and human tumor cells cytokine network. International Journal of Cancer. 123(9). 2031–2040. 76 indexed citations

17.

Levina, Vera, et al.. (2005). Content of 8-Hydroxy-2-Deoxyguanosine in Steroid Receptor-Positive and Receptor-Negative Breast Cancer Cells. Bulletin of Experimental Biology and Medicine. 140(1). 88–91. 5 indexed citations

18.

Mv, Filatov, et al.. (1999). Combined Surgical and Immunotherapeutic Treatment of Patients with Fourth Stage Colon Cancer. Hybridoma. 18(1). 99–102. 4 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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