Vesselin Baev

1.5k total citations
48 papers, 1.1k citations indexed

About

Vesselin Baev is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Vesselin Baev has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 18 papers in Plant Science and 12 papers in Cancer Research. Recurrent topics in Vesselin Baev's work include MicroRNA in disease regulation (12 papers), Genomics and Phylogenetic Studies (12 papers) and Plant Molecular Biology Research (12 papers). Vesselin Baev is often cited by papers focused on MicroRNA in disease regulation (12 papers), Genomics and Phylogenetic Studies (12 papers) and Plant Molecular Biology Research (12 papers). Vesselin Baev collaborates with scholars based in Bulgaria, Italy and Greece. Vesselin Baev's co-authors include Ivan Minkov, Galina Yahubyan, Martin Tabler, В. Л. Русинов, Gaurav Sablok, Elena Apostolova, Kriton Kalantidis, Molly Megraw, Artemis G. Hatzigeorgiou and Shane T. Jensen and has published in prestigious journals such as Nucleic Acids Research, FEBS Letters and International Journal of Molecular Sciences.

In The Last Decade

Vesselin Baev

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vesselin Baev Bulgaria 17 735 435 364 64 61 48 1.1k
Hangxiao Zhang China 18 608 0.8× 426 1.0× 104 0.3× 48 0.8× 59 1.0× 41 915
Wenbin Guo United Kingdom 18 751 1.0× 647 1.5× 105 0.3× 51 0.8× 87 1.4× 38 1.2k
Tengfei Liu China 14 433 0.6× 414 1.0× 64 0.2× 83 1.3× 186 3.0× 28 964
Aurélie Teissandier France 11 1.2k 1.6× 314 0.7× 154 0.4× 45 0.7× 299 4.9× 17 1.4k
Vyacheslav Amstislavskiy Germany 9 714 1.0× 126 0.3× 210 0.6× 68 1.1× 121 2.0× 13 994
Rongmei Wu New Zealand 19 1.4k 1.9× 1.7k 3.8× 231 0.6× 33 0.5× 54 0.9× 37 2.2k
M. Szymański Poland 20 985 1.3× 219 0.5× 261 0.7× 41 0.6× 127 2.1× 56 1.2k
А. В. Солдатов Russia 5 600 0.8× 129 0.3× 164 0.5× 60 0.9× 96 1.6× 10 836
Céline Lopez‐Roques France 19 753 1.0× 325 0.7× 91 0.3× 98 1.5× 300 4.9× 48 1.3k

Countries citing papers authored by Vesselin Baev

Since Specialization
Citations

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

Fields of papers citing papers by Vesselin Baev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vesselin Baev

This figure shows the co-authorship network connecting the top 25 collaborators of Vesselin Baev. A scholar is included among the top collaborators of Vesselin Baev 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 Vesselin Baev. Vesselin Baev 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.
D’Ambrosi, Silvia, Monica Chiogna, Galina Yahubyan, et al.. (2025). Combinatorial Analysis of miRNAs and tRNA Fragments as Potential Biomarkers for Cancer Patients in Liquid Biopsies. Non-Coding RNA. 11(1). 17–17.
2.
Gozmanova, Mariyana, et al.. (2025). Viral and Viroid Communities in Peach Cultivars Grown in Bulgaria. Horticulturae. 11(5). 503–503.
3.
Lõhmus, Andres, Vesselin Baev, Galina Yahubyan, et al.. (2025). Multi-omics analysis of uterine fluid extracellular vesicles reveals a resemblance with endometrial tissue across the menstrual cycle: biological and translational insights. Human Reproduction Open. 2025(2). hoaf010–hoaf010. 4 indexed citations
4.
Naydenov, Mladen, Maria Nikolova, Merli Saare, et al.. (2024). Endometrial Proliferative Phase-Centered View of Transcriptome Dynamics across the Menstrual Cycle. International Journal of Molecular Sciences. 25(10). 5320–5320. 2 indexed citations
5.
Baev, Vesselin, Gana Gecheva, Elena Apostolova, Mariyana Gozmanova, & Galina Yahubyan. (2024). Exploring the Metatranscriptome of Bacterial Communities of Two Moss Species Thriving in Different Environments—Terrestrial and Aquatic. Plants. 13(9). 1210–1210. 3 indexed citations
6.
Baev, Vesselin, et al.. (2024). Exploring the Genomic Landscape of Bacillus paranthracis PUMB_17 as a Proficient Phosphatidylcholine-Specific Phospholipase C Producer. Current Issues in Molecular Biology. 46(3). 2497–2513. 3 indexed citations
7.
Baev, Vesselin, et al.. (2023). Identification of Bulgarian Sourdough Microbiota by Metagenomic Approach Using Three Commercially Available DNA Extraction Protocols. Food Technology and Biotechnology. 61(1). 138–147. 3 indexed citations
8.
Baev, Vesselin, Elena Apostolova, Velitchka Gotcheva, et al.. (2023). 16S-rRNA-Based Metagenomic Profiling of the Bacterial Communities in Traditional Bulgarian Sourdoughs. Microorganisms. 11(3). 803–803. 5 indexed citations
9.
10.
Gotcheva, Velitchka, et al.. (2023). Effects of sourdough on rheological properties of dough, quality characteristics and staling time of wholemeal wheat croissants. Italian Journal of Food Science. 35(3). 115–129. 3 indexed citations
11.
Gisel, Andreas, et al.. (2022). The Multiverse of Plant Small RNAs: How Can We Explore It?. International Journal of Molecular Sciences. 23(7). 3979–3979. 6 indexed citations
12.
Илиев, И., et al.. (2021). Bacterial diversity and physiological activity of lettuce (Lactuca sativa) rhizosphere under bio-organic greenhouse management strategies. International Journal of Environmental Science and Technology. 19(10). 9945–9956. 3 indexed citations
13.
Naydenov, Mladen, Vesselin Baev, Elena Apostolova, et al.. (2015). High-temperature effect on genes engaged in DNA methylation and affected by DNA methylation in Arabidopsis. Plant Physiology and Biochemistry. 87. 102–108. 92 indexed citations
14.
Sablok, Gaurav, Xianming Wu, Jimmy Kuo, et al.. (2013). Combinational effect of mutational bias and translational selection for translation efficiency in tomato (Solanum lycopersicum) cv. Micro-Tom. Genomics. 101(5). 290–295. 7 indexed citations
15.
Baev, Vesselin, et al.. (2011). Implementation of a de novo genome-wide computational approach for updating Brachypodium miRNAs. Genomics. 97(5). 282–293. 14 indexed citations
16.
Baev, Vesselin, et al.. (2010). Identification of Potato Spindle Tuber Viroid Small RNA inOrobanche Ramosaby Microarray. Biotechnology & Biotechnological Equipment. 24(sup1). 144–146. 2 indexed citations
17.
Baev, Vesselin, et al.. (2010). Identification of RNA-dependent DNA-methylation regulated promoters in Arabidopsis. Plant Physiology and Biochemistry. 48(6). 393–400. 16 indexed citations
18.
Megraw, Molly, et al.. (2006). MicroRNA promoter element discovery in Arabidopsis. RNA. 12(9). 1612–1619. 148 indexed citations
19.
Русинов, В. Л., Vesselin Baev, Ivan Minkov, & Martin Tabler. (2005). MicroInspector: a web tool for detection of miRNA binding sites in an RNA sequence. Nucleic Acids Research. 33(Web Server). W696–W700. 216 indexed citations
20.
Baev, Vesselin, et al.. (1964). [A NATURAL TULAREMIA FOCUS IN BULGARIA].. PubMed. 41. 124–31. 1 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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