Vera Simić

1.6k total citations · 1 hit paper
15 papers, 899 citations indexed

About

Vera Simić is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Vera Simić has authored 15 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Vera Simić's work include Cervical Cancer and HPV Research (4 papers), Virus-based gene therapy research (2 papers) and Metal complexes synthesis and properties (2 papers). Vera Simić is often cited by papers focused on Cervical Cancer and HPV Research (4 papers), Virus-based gene therapy research (2 papers) and Metal complexes synthesis and properties (2 papers). Vera Simić collaborates with scholars based in United States, Serbia and United Kingdom. Vera Simić's co-authors include Richard Schlegel, Xuefeng Liu, Aleksandra Dakic, Frank A. Suprynowicz, Hang Yuan, Virginie Ory, Bassem R. Haddad, Alison A. McBride, Olga Timofeeva and Sandra Chapman and has published in prestigious journals such as Cancer Research, Oncogene and Journal of Virology.

In The Last Decade

Vera Simić

14 papers receiving 889 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.

ROCK Inhibitor and Feeder Cells Induce the Conditional Reprogramming of Epithelial Cells

2011 554 citations Xuefeng Liu, Virginie Ory et al. American Journal Of Pathology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vera Simić United States	9	377	338	216	169	134	15	899
Aleksandra Dakic United States	10	555 1.5×	369 1.1×	265 1.2×	199 1.2×	186 1.4×	17	1.1k
Quan P. Ly United States	19	331 0.9×	405 1.2×	141 0.7×	102 0.6×	188 1.4×	42	922
Han‐Ik Bae South Korea	12	510 1.4×	296 0.9×	112 0.5×	72 0.4×	232 1.7×	38	836
P. Markus Deckert Germany	16	323 0.9×	256 0.8×	163 0.8×	98 0.6×	72 0.5×	44	838
Nina M. Muñoz United States	19	660 1.8×	416 1.2×	129 0.6×	64 0.4×	174 1.3×	29	1.3k
Robert E. Reeves United States	13	302 0.8×	223 0.7×	57 0.3×	88 0.5×	64 0.5×	14	800
Tülin Budak-Alpdoǧan United States	18	430 1.1×	310 0.9×	78 0.4×	91 0.5×	74 0.6×	51	970
Yen Phung United States	14	278 0.7×	258 0.8×	146 0.7×	79 0.5×	75 0.6×	15	966
Briana G. Nixon United States	15	502 1.3×	520 1.5×	210 1.0×	84 0.5×	204 1.5×	18	1.3k
Liubov Zaritskaya United States	14	487 1.3×	310 0.9×	141 0.7×	97 0.6×	240 1.8×	18	1.1k

Countries citing papers authored by Vera Simić

Since Specialization

Citations

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

Fields of papers citing papers by Vera Simić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Simić

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Simić, Vera, et al.. (2024). Association between Sociodemographic Factors and Depressive Symptoms among Adult Population in Serbia. Iranian Journal of Public Health. 53(4). 867–877.

Wang, Aibing, Dan Zhou, Ewa Krawczyk, et al.. (2023). Overexpression of the telomerase holoenzyme induces EMT and tumorigenesis of HPV‐immortalized keratinocytes. Journal of Medical Virology. 95(4). e28681–e28681. 8 indexed citations

Simić, Vera, Stoimir Kolarević, Ilija Brčeski, Dejan Jeremić, & Branka Vuković‐Gačić. (2016). Cytotoxicity and antiviral activity of palladium(II) and platinum(II) complexes with 2-(diphenylphosphino)benzaldehyde 1-adamantoylhydrazone. TURKISH JOURNAL OF BIOLOGY. 40. 661–669. 12 indexed citations

Liu, Xuefeng, Ewa Krawczyk, Nancy Palechor-Ceron, et al.. (2016). Abstract 4256: Functional analysis for cancer precision medicine using patient-derived 2D and 3D cell models. Cancer Research. 76(14_Supplement). 4256–4256. 2 indexed citations

Dakic, Aleksandra, Kyle A. DiVito, Frank A. Suprynowicz, et al.. (2016). ROCK inhibitor reduces Myc-induced apoptosis and mediates immortalization of human keratinocytes. Oncotarget. 7(41). 66740–66753. 33 indexed citations

Liu, Xuefeng, Ewa Krawczyk, Nancy Palechor-Ceron, et al.. (2014). Abstract 2972: Conditionally reprogrammed cells (CRCs): A new model for cancer research and personalized medicine. Cancer Research. 74(19_Supplement). 2972–2972. 1 indexed citations

Palechor-Ceron, Nancy, Frank A. Suprynowicz, Geeta Upadhyay, et al.. (2013). Radiation Induces Diffusible Feeder Cell Factor(s) That Cooperate with ROCK Inhibitor to Conditionally Reprogram and Immortalize Epithelial Cells. American Journal Of Pathology. 183(6). 1862–1870. 88 indexed citations

Jeremić, Dejan, et al.. (2013). Synthesis, structure and biological activities of Pd(II) and Pt(II) complexes with 2-(diphenylphosphino)benzaldehyde 1-adamantoylhydrazone. Polyhedron. 68. 234–240. 25 indexed citations

Simić, Vera, et al.. (2013). Epidemiological characteristics of cervical cancer. Zdravstvena zastita. 42(6). 71–76. 1 indexed citations

10.

Sahab, Ziad J., Xuefeng Liu, Yiyu Zhang, et al.. (2012). Quantitative Measurement of Human Papillomavirus Type 16 E5 Oncoprotein Levels in Epithelial Cell Lines by Mass Spectrometry. Journal of Virology. 86(17). 9465–9473. 21 indexed citations

11.

Liu, Xuefeng, Virginie Ory, Sandra Chapman, et al.. (2011). ROCK Inhibitor and Feeder Cells Induce the Conditional Reprogramming of Epithelial Cells. American Journal Of Pathology. 180(2). 599–607. 554 indexed citations breakdown →

12.

Simić, Vera, et al.. (2011). Features food of young conditional socioeconomic factors. Zdravstvena zastita. 40(6). 21–30. 1 indexed citations

13.

Suprynowicz, Frank A., et al.. (2010). The Human Papillomavirus Type 16 E5 Oncoprotein Inhibits Epidermal Growth Factor Trafficking Independently of Endosome Acidification. Journal of Virology. 84(20). 10619–10629. 60 indexed citations

14.

Suprynowicz, Frank A., et al.. (2007). HPV-16 E5 oncoprotein upregulates lipid raft components caveolin-1 and ganglioside GM1 at the plasma membrane of cervical cells. Oncogene. 27(8). 1071–1078. 70 indexed citations

15.

Suprynowicz, Frank A., Gary L. Disbrow, Vera Simić, & Richard Schlegel. (2004). Are transforming properties of the bovine papillomavirus E5 protein shared by E5 from high-risk human papillomavirus type 16?. Virology. 332(1). 102–113. 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.

Explore authors with similar magnitude of impact