Ivanka Dimova

1.3k total citations
58 papers, 974 citations indexed

About

Ivanka Dimova is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Ivanka Dimova has authored 58 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Genetics and 12 papers in Oncology. Recurrent topics in Ivanka Dimova's work include Genomic variations and chromosomal abnormalities (8 papers), Ovarian cancer diagnosis and treatment (6 papers) and Cancer Genomics and Diagnostics (4 papers). Ivanka Dimova is often cited by papers focused on Genomic variations and chromosomal abnormalities (8 papers), Ovarian cancer diagnosis and treatment (6 papers) and Cancer Genomics and Diagnostics (4 papers). Ivanka Dimova collaborates with scholars based in Bulgaria, Switzerland and Germany. Ivanka Dimova's co-authors include Драга Тончева, Valentin Djonov, Marian Rizov, Georgi Popivanov, Andrew N. Makanya, Ruslan Hlushchuk, Rumen Dimitrov, Beata Styp‐Rekowska, Abdul R. Asif and Sena Karachanak-Yankova and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Heart Journal.

In The Last Decade

Ivanka Dimova

56 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivanka Dimova Bulgaria 18 488 150 140 130 129 58 974
Jing Bian China 18 448 0.9× 123 0.8× 97 0.7× 129 1.0× 59 0.5× 56 996
Longsheng Hong United States 13 357 0.7× 303 2.0× 132 0.9× 139 1.1× 77 0.6× 22 965
Zhonghui Liu China 23 702 1.4× 168 1.1× 122 0.9× 161 1.2× 77 0.6× 91 1.3k
X. L. Wang China 12 268 0.5× 100 0.7× 121 0.9× 109 0.8× 98 0.8× 47 910
H.A. Leaver United Kingdom 20 335 0.7× 119 0.8× 170 1.2× 223 1.7× 99 0.8× 61 1.1k
Cecilia Varone Argentina 24 352 0.7× 107 0.7× 103 0.7× 75 0.6× 80 0.6× 50 1.5k
Milena Pariali Italy 15 517 1.1× 323 2.2× 165 1.2× 64 0.5× 117 0.9× 31 1.2k
Zhenling Wang China 16 298 0.6× 110 0.7× 71 0.5× 115 0.9× 109 0.8× 33 705
Eati Basal United States 15 401 0.8× 97 0.6× 45 0.3× 110 0.8× 69 0.5× 21 1.4k
Xiaoxue Zhang China 19 343 0.7× 152 1.0× 68 0.5× 61 0.5× 118 0.9× 68 1.1k

Countries citing papers authored by Ivanka Dimova

Since Specialization
Citations

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

Fields of papers citing papers by Ivanka Dimova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivanka Dimova

This figure shows the co-authorship network connecting the top 25 collaborators of Ivanka Dimova. A scholar is included among the top collaborators of Ivanka Dimova 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 Ivanka Dimova. Ivanka Dimova 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.
2.
Svinarov, Dobrin, et al.. (2023). Relationship between Vitamin D status and microbiome changes in Bulgarian patients with type 2 diabetes mellitus. Biotechnology & Biotechnological Equipment. 37(1). 5 indexed citations
3.
Dimova, Ivanka, et al.. (2020). Molecular pathogenesis of spontaneous abortions – Whole genome copy number analysis and expression of angiogenic factors. Taiwanese Journal of Obstetrics and Gynecology. 59(1). 99–104. 3 indexed citations
4.
Trpchevska, Natalia, et al.. (2017). A family study of complex chromosome rearrangement involving chromosomes 1, 8, and 11 and its reproductive consequences. Journal of Assisted Reproduction and Genetics. 34(5). 659–669. 8 indexed citations
5.
Rizov, Marian, et al.. (2017). Molecular regulation and role of angiogenesis in reproduction. Taiwanese Journal of Obstetrics and Gynecology. 56(2). 127–132. 67 indexed citations
6.
7.
Makanya, Andrew N., et al.. (2016). Dynamics of the Developing Chick Chorioallantoic Membrane Assessed by Stereology, Allometry, Immunohistochemistry and Molecular Analysis. PLoS ONE. 11(4). e0152821–e0152821. 45 indexed citations
8.
Makanya, Andrew N., Beata Styp‐Rekowska, Ivanka Dimova, & Valentin Djonov. (2014). Avian Area Vasculosa and CAM as Rapid In Vivo Pro-angiogenic and Antiangiogenic Models. Methods in molecular biology. 1214. 185–196. 5 indexed citations
9.
Dimova, Ivanka, Ruslan Hlushchuk, Andrew N. Makanya, et al.. (2013). Inhibition of Notch signaling induces extensive intussusceptive neo-angiogenesis by recruitment of mononuclear cells. Angiogenesis. 16(4). 921–937. 53 indexed citations
10.
Dimova, Ivanka, et al.. (2013). Gene expression in peripheral blood of patients with hypertension and patients with type 2 diabetes. Journal of Cardiovascular Medicine. 15(9). 702–709. 23 indexed citations
11.
Mushiroda, Taisei, Michiaki Kubo, Atsushi Takahashi, et al.. (2012). Whole-genome-wide association study in the Bulgarian population reveals HHAT as schizophrenia susceptibility gene. Psychiatric Genetics. 23(1). 11–19. 18 indexed citations
12.
Shivarov, Velizar, Ivaylo Christov, Plamena R. Angelova, et al.. (2011). Amplification of c-MYC and MLL Genes as a Marker of Clonal Cell Progression in Patients with Myeloid Malignancy and Trisomy of Chromosomes 8 or 11. SHILAP Revista de lepidopterología. 14(2). 17–24. 2 indexed citations
13.
Templin, Christian, Martin Meyer, Valentin Djonov, et al.. (2010). Coronary optical frequency domain imaging (OFDI) for in vivo evaluation of stent healing: comparison with light and electron microscopy. European Heart Journal. 31(14). 1792–1801. 77 indexed citations
14.
Dimova, Ivanka, et al.. (2009). Coexistence of Copy Number Increases of <i>c-Myc, ZNF217, CCND1, ErbB1</i> and <i>ErbB2</i> in Ovarian Cancers. Onkologie. 32(7). 6–6. 6 indexed citations
15.
Dimova, Ivanka, et al.. (2006). Tissue Microarray Analysis of EGFR Gene Amplification and Gain in Bulgarian Patients with Colorectal Cancer. Oncology Research and Treatment. 29(5). 198–200. 3 indexed citations
16.
Dimova, Ivanka, et al.. (2006). Tissue microarray analysis of EGFR and erbB2 copy number changes in ovarian tumors. International Journal of Gynecological Cancer. 16(1). 145–151. 21 indexed citations
17.
Dimova, Ivanka, et al.. (2006). Correlations between c-myc gene copy-number and clinicopathological parameters of ovarian tumours. European Journal of Cancer. 42(5). 674–679. 42 indexed citations
18.
Dimova, Ivanka, et al.. (2004). Association of 20q13.2 copy number changes with the advanced stage of ovarian cancer—tissue microarray analysis. European Journal of Obstetrics & Gynecology and Reproductive Biology. 118(1). 81–85. 8 indexed citations
19.
20.
Stoitsova, Stoyanka, et al.. (2000). Interaction of alveolar macrophages with Staphylococcus aureus and induction of microbial L-forms during infection in rats. International Journal of Medical Microbiology. 290(3). 259–267. 10 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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