Georgi Radoslavov

703 total citations
56 papers, 463 citations indexed

About

Georgi Radoslavov is a scholar working on Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Georgi Radoslavov has authored 56 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 14 papers in Molecular Biology and 13 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Georgi Radoslavov's work include Genetic diversity and population structure (13 papers), Genetic and phenotypic traits in livestock (12 papers) and Insect and Pesticide Research (9 papers). Georgi Radoslavov is often cited by papers focused on Genetic diversity and population structure (13 papers), Genetic and phenotypic traits in livestock (12 papers) and Insect and Pesticide Research (9 papers). Georgi Radoslavov collaborates with scholars based in Bulgaria, United Kingdom and Greece. Georgi Radoslavov's co-authors include Peter Hristov, Boyko Neov, Rositsa Shumkova, Ani Georgieva, Denitsa Teofanova, Nikolaï Spassov, Stela Lazarova, Vlada Peneva, Maria Bouga and Boyko B. Georgiev and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Georgi Radoslavov

54 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georgi Radoslavov Bulgaria 12 254 142 118 117 60 56 463
Szilvia Kusza Hungary 17 563 2.2× 84 0.6× 100 0.8× 152 1.3× 63 1.1× 95 802
Xiuxiang Meng China 13 148 0.6× 67 0.5× 73 0.6× 319 2.7× 73 1.2× 60 605
Robert Rutkowski Poland 15 354 1.4× 35 0.2× 209 1.8× 304 2.6× 37 0.6× 54 594
Élodie Chapuis France 16 241 0.9× 173 1.2× 228 1.9× 165 1.4× 26 0.4× 37 739
C. Tirard France 13 192 0.8× 110 0.8× 187 1.6× 265 2.3× 85 1.4× 14 525
Ashleigh B. Smythe United States 12 75 0.3× 114 0.8× 99 0.8× 224 1.9× 48 0.8× 17 590
M. S. Merani Argentina 15 236 0.9× 32 0.2× 143 1.2× 165 1.4× 35 0.6× 51 699
Aude Gilabert France 12 73 0.3× 88 0.6× 60 0.5× 73 0.6× 15 0.3× 17 390
Z. Gliński Poland 11 130 0.5× 215 1.5× 135 1.1× 34 0.3× 24 0.4× 58 391
Tetsuro Nomura Japan 13 634 2.5× 91 0.6× 140 1.2× 91 0.8× 21 0.3× 77 744

Countries citing papers authored by Georgi Radoslavov

Since Specialization
Citations

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

Fields of papers citing papers by Georgi Radoslavov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgi Radoslavov

This figure shows the co-authorship network connecting the top 25 collaborators of Georgi Radoslavov. A scholar is included among the top collaborators of Georgi Radoslavov 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 Georgi Radoslavov. Georgi Radoslavov 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.
Radoslavov, Georgi, et al.. (2025). Genetic diversity of native Bulgarian sheep breeds based on the mitochondrial D-loop sequence analysis. Small Ruminant Research. 249. 107527–107527.
2.
Yordanov, Georgi Hristov, et al.. (2024). Genetic Differentiation and Population Structure of Two Bulgarian Local Goat Breeds Using Microsatellite Markers. Diversity. 16(7). 388–388. 1 indexed citations
3.
Palova, Nadezhda, et al.. (2023). Mitochondrial Diversity and Phylogenetic Relationship of Eight Native Bulgarian Sheep Breeds. Animals. 13(23). 3655–3655. 1 indexed citations
4.
Lazarova, Stela, Boyko Neov, Rositsa Shumkova, et al.. (2023). Composition and diversity of bacterial communities associated with honey bee foragers from two contrasting environments. Bulletin of Entomological Research. 113(5). 693–702. 4 indexed citations
5.
Yordanov, Georgi Hristov, et al.. (2022). Genetic Diversity and Structure of the Main Danubian Horse Paternal Genealogical Lineages Based on Microsatellite Genotyping. Veterinary Sciences. 9(7). 333–333. 2 indexed citations
6.
Neov, Boyko, et al.. (2021). New data on the evolutionary history of the European bison (Bison bonasus) based on subfossil remains from Southeastern Europe. Ecology and Evolution. 11(6). 2842–2848. 4 indexed citations
7.
Palova, Nadezhda, et al.. (2021). The Sequence Analysis of Mitochondrial DNA Revealed Some Major Centers of Horse Domestications: The Archaeologist's Cut. Journal of Equine Veterinary Science. 109. 103830–103830. 2 indexed citations
8.
Hristov, Peter, et al.. (2020). Mitochondrial Profiles of the East Bulgarian and the Pleven Horse Breeds. Journal of Equine Veterinary Science. 88. 102933–102933. 3 indexed citations
9.
Palova, Nadezhda, et al.. (2019). Mitochondrial Diversity of the East Balkan Swine ( Sus scrofa f. domestica ) in South-Eastern Bulgaria. Acta veterinaria. 69(2). 229–236. 1 indexed citations
10.
Shumkova, Rositsa, Ani Georgieva, Georgi Radoslavov, et al.. (2018). The first report of the prevalence of Nosema ceranae in Bulgaria. PeerJ. 6. e4252–e4252. 15 indexed citations
11.
Radoslavov, Georgi, et al.. (2017). A specific genetic marker for the discrimination of native Bulgarian honey bees (Apis mellifera rodopica): Duplication ofcoIgene fragment. Journal of Apicultural Research. 56(3). 196–202. 9 indexed citations
12.
Lazarova, Stela, Francesca De Luca, Elena Fanelli, et al.. (2017). The morphological and molecular identity of Longidorus piceicola Lišková, Robbins & Brown, 1997 from Romania (Nematoda, Dorylaimida). ZooKeys. 667(667). 1–19. 2 indexed citations
13.
Hristov, Peter, Denitsa Teofanova, Boyko Neov, Boris Shivachev, & Georgi Radoslavov. (2015). Mitochondrial diversity in autochthonous cattle breeds from the Balkan Peninsula. Czech Journal of Animal Science. 60(7). 311–318. 3 indexed citations
15.
Hristov, Peter, Denitsa Teofanova, Boyko Neov, Lyuben Zagorchev, & Georgi Radoslavov. (2014). Population structure of two native Bulgarian cattle breeds with regard to CSN3 and CSN1S1 gene polymorphism.. BULGARIAN JOURNAL OF VETERINARY MEDICINE. 17(1). 18–24. 2 indexed citations
16.
Hristov, Peter, Denitsa Teofanova, Boyko Neov, & Georgi Radoslavov. (2014). Haplotype diversity in autochthonous Balkan cattle breeds. Animal Genetics. 46(1). 92–94. 8 indexed citations
17.
18.
Hristov, Peter, et al.. (2012). Genotyping of Endemic for Rhodopa Mountains Shorthorn Rhodopean Cow Breed. Biotechnology & Biotechnological Equipment. 26(sup1). 12–15. 4 indexed citations
19.
Radoslavov, Georgi, Peter Fischer, Andrew E. Torda, et al.. (2005). The Highly Abundant Protein Ag-lbp55 from Ascaridia galli Represents a Novel Type of Lipid-binding Proteins. Journal of Biological Chemistry. 280(50). 41429–41438. 10 indexed citations
20.
Radoslavov, Georgi, et al.. (2004). Conformational and functional analysis of the lipid binding protein Ag‐NPA‐1 from the parasitic nematode Ascaridia galli. FEBS Journal. 272(1). 180–189. 8 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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