Katya Uzunova

25 total papers · 474 total citations
18 papers, 366 citations indexed

About

Katya Uzunova is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Katya Uzunova has authored 18 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Katya Uzunova's work include Blood Pressure and Hypertension Studies (4 papers), Genomics and Chromatin Dynamics (4 papers) and RNA Research and Splicing (3 papers). Katya Uzunova is often cited by papers focused on Blood Pressure and Hypertension Studies (4 papers), Genomics and Chromatin Dynamics (4 papers) and RNA Research and Splicing (3 papers). Katya Uzunova collaborates with scholars based in Bulgaria, United States and Austria. Katya Uzunova's co-authors include T. Веков, Krassimir Kalinov, George Miloshev, Milena Georgieva, Friedrich Ehrendorfer, Emanuel Palamarev, Dimitar Djilianov, Daniela Moyankova, Konstantin Balashev and Masahiko Harata and has published in prestigious journals such as The International Journal of Biochemistry & Cell Biology, Oxidative Medicine and Cellular Longevity and Biomedicine & Pharmacotherapy.

In The Last Decade

Katya Uzunova

17 papers receiving 356 citations

Author Peers

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

Author						Papers	Cites
Katya Uzunova	163	77	67	48	40	18	366
Yongchao Gao	199 1.2×	58 0.8×	51 0.8×	27 0.6×	29 0.7×	29	405
Dawit Zewdu Wondafrash	132 0.8×	59 0.8×	26 0.4×	34 0.7×	33 0.8×	16	388
Byung Mun Park	158 1.0×	139 1.8×	36 0.5×	21 0.4×	40 1.0×	24	442
Liyun Duan	135 0.8×	23 0.3×	55 0.8×	23 0.5×	17 0.4×	20	353
Nalini Devarajan	143 0.9×	37 0.5×	27 0.4×	77 1.6×	28 0.7×	20	401
Man Zhu	169 1.0×	25 0.3×	15 0.2×	37 0.8×	47 1.2×	17	430
Pétra Blom	99 0.6×	29 0.4×	41 0.6×	25 0.5×	20 0.5×	22	360
Renato Simões Gaspar	106 0.7×	66 0.9×	28 0.4×	44 0.9×	26 0.7×	29	424
Hunmin Jung	278 1.7×	16 0.2×	65 1.0×	61 1.3×	12 0.3×	19	442
Isabel Quesada	82 0.5×	16 0.2×	24 0.4×	87 1.8×	56 1.4×	13	357

Countries citing papers authored by Katya Uzunova

Since Specialization

Citations

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

Fields of papers citing papers by Katya Uzunova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katya Uzunova

This figure shows the co-authorship network connecting the top 25 collaborators of Katya Uzunova. A scholar is included among the top collaborators of Katya Uzunova 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 Katya Uzunova. Katya Uzunova 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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