Ivanka Dimova

99 total papers · 1.3k total citations
58 papers, 970 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 970 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-related Molecular Pathways (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-related Molecular Pathways (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, Sena Karachanak-Yankova and B. Angelova 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 956 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ivanka Dimova 487 150 140 130 129 58 970
Jing Bian 444 0.9× 122 0.8× 97 0.7× 127 1.0× 59 0.5× 56 985
Jing Zhao 392 0.8× 205 1.4× 152 1.1× 181 1.4× 80 0.6× 88 1.1k
Francesco Morelli 635 1.3× 95 0.6× 127 0.9× 121 0.9× 204 1.6× 45 1.1k
N. Deshpande 333 0.7× 147 1.0× 69 0.5× 200 1.5× 223 1.7× 66 930
Kazushige Kiguchi 485 1.0× 246 1.6× 91 0.7× 84 0.6× 82 0.6× 67 955
H.A. Leaver 335 0.7× 119 0.8× 170 1.2× 222 1.7× 99 0.8× 61 1.1k
Mengjia Qian 495 1.0× 173 1.2× 188 1.3× 149 1.1× 51 0.4× 43 1.1k
Chao Sheng 575 1.2× 168 1.1× 94 0.7× 286 2.2× 103 0.8× 63 1.2k
Nakaaki Ohsawa 288 0.6× 192 1.3× 91 0.7× 81 0.6× 154 1.2× 56 930
Takako Nomura 444 0.9× 170 1.1× 130 0.9× 115 0.9× 70 0.5× 78 1.2k

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

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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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