G. P. Georgiev

6.9k total citations
164 papers, 5.8k citations indexed

About

G. P. Georgiev is a scholar working on Molecular Biology, Genetics and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, G. P. Georgiev has authored 164 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 19 papers in Genetics and 12 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in G. P. Georgiev's work include RNA and protein synthesis mechanisms (44 papers), RNA Research and Splicing (40 papers) and DNA and Nucleic Acid Chemistry (26 papers). G. P. Georgiev is often cited by papers focused on RNA and protein synthesis mechanisms (44 papers), RNA Research and Splicing (40 papers) and DNA and Nucleic Acid Chemistry (26 papers). G. P. Georgiev collaborates with scholars based in Russia, Slovakia and North Macedonia. G. P. Georgiev's co-authors include А. П. Рысков, Alexander Varshavsky, O. P. Samarina, V. V. Bakayev, E. M. Lukanidin, Dmitri A. Kramerov, V.L. Mantieva, József Molnár, Yu. V. Ilyin and A.A. Bayev and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

G. P. Georgiev

151 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. P. Georgiev Russia 38 4.7k 802 781 643 435 164 5.8k
P Oudet France 43 5.4k 1.1× 1.1k 1.4× 668 0.9× 1.2k 1.8× 518 1.2× 123 7.2k
C. James Ingles Canada 39 5.1k 1.1× 1.2k 1.5× 456 0.6× 834 1.3× 369 0.8× 59 6.0k
Richard A. Padgett United States 38 6.9k 1.5× 758 0.9× 476 0.6× 373 0.6× 421 1.0× 72 7.9k
Klaus Scherrer France 41 5.7k 1.2× 846 1.1× 529 0.7× 558 0.9× 219 0.5× 159 6.7k
Lev L. Kisselev Russia 42 5.7k 1.2× 941 1.2× 461 0.6× 417 0.6× 225 0.5× 191 6.2k
Alan B. Sachs United States 41 7.8k 1.7× 921 1.1× 577 0.7× 359 0.6× 502 1.2× 62 8.9k
Kathleen M. Downey United States 36 3.4k 0.7× 820 1.0× 275 0.4× 756 1.2× 432 1.0× 63 4.6k
John E.G. McCarthy United Kingdom 47 5.5k 1.2× 943 1.2× 353 0.5× 482 0.7× 189 0.4× 121 6.4k
Albrecht E. Sippel Germany 45 4.9k 1.1× 2.2k 2.8× 526 0.7× 529 0.8× 360 0.8× 85 6.5k
Barbara Sollner-Webb United States 44 5.9k 1.3× 1.1k 1.3× 641 0.8× 258 0.4× 137 0.3× 99 6.7k

Countries citing papers authored by G. P. Georgiev

Since Specialization
Citations

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

Fields of papers citing papers by G. P. Georgiev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. P. Georgiev. 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 G. P. Georgiev. The network helps show where G. P. Georgiev may publish in the future.

Co-authorship network of co-authors of G. P. Georgiev

This figure shows the co-authorship network connecting the top 25 collaborators of G. P. Georgiev. A scholar is included among the top collaborators of G. P. Georgiev 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 G. P. Georgiev. G. P. Georgiev 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.
Georgiev, G. P., et al.. (2023). Differences in Anthropometric Characteristics of Youth in Football Between Elite and Non-Elite Players. SHILAP Revista de lepidopterología. 23(3). 353–357.
2.
Hristovski, Robert, et al.. (2023). Physical Exercise–Induced DNA Methylation in Disease-Related Genes in Healthy Adults—A Systematic Review With Bioinformatic Analysis. The Journal of Strength and Conditioning Research. 38(2). 384–393. 3 indexed citations
3.
Georgiev, G. P., et al.. (2023). Maturity Status and Fat-Free Masses as Determinants of Physical Fitness Among Macedonian Schoolchildren aged 6 to 14. SHILAP Revista de lepidopterología. 23(3). 404–411. 1 indexed citations
4.
Georgiev, G. P., et al.. (2022). Cardiorespiratory Fitness Cut-Points Related to Body Adiposity Parameters in Macedonian Children. SHILAP Revista de lepidopterología. 22(1). 48–55. 1 indexed citations
5.
Gontarev, Seryozha, et al.. (2022). Health-Related Physical Fitness is Associated with Total and Central Body Fat in Children Aged 6 to 10 Years. SHILAP Revista de lepidopterología. 22(3s). S117–S123. 3 indexed citations
6.
Gontarev, Seryozha, et al.. (2022). Association between Club Sports Participation and Physical Fitness of 6–10-Year-Old Macedonian Children. SHILAP Revista de lepidopterología. 22(3). 414–422. 2 indexed citations
7.
Posvyatenko, Alexandra V., et al.. (2020). A role of peptidoglycan recognition proteins in regulating innate immune response. SHILAP Revista de lepidopterología. 10(3). 469–476.
8.
Georgiev, G. P., et al.. (2019). Impact of Physical Activity on the Aggressiveness, Deviant Behavior and Self-esteem with School Children Aged 11-15. SHILAP Revista de lepidopterología. 3(4). 21–25. 2 indexed citations
9.
Georgiev, G. P., et al.. (2019). Differences in Anthropometric Characteristics between Athletes of Different Orientation, Handball and Volleyball. SHILAP Revista de lepidopterología. 3(4). 41–45. 1 indexed citations
10.
Jorgić, Bojan, et al.. (2016). ANTHROPOLOGICAL DIMENSIONS AS A PREDICTOR OF SPECIFIC MOTOR SKILLS OF YOUNG WATER POLO PLAYERS. Facta Universitatis Series Physical Education and Sport. 411–418.
11.
Георгиева, С. Г., et al.. (2016). Взаимодействие комплекса TREX-2 с мРНП-частицей гена β-тубулина 56D. Молекулярная биология. 50(6). 1030–1038. 1 indexed citations
12.
Шепелев, М. В., et al.. (2011). Application of mRNA regulatory regions to improve tumor specificity of transgene expression. Cancer Gene Therapy. 18(9). 682–684. 6 indexed citations
13.
Georgiev, G. P., et al.. (2009). Structure of Motor Space in Children at 7 Year Age. Goce Delchev University Repository (Goce Delčev University of Štip). 1 indexed citations
14.
Radovanović, Dragan, et al.. (2007). The influence of basic motor abilities and anthropometric measures on the specific motor skills of talented water polo players. Facta Universitatis Series Physical Education and Sport. 5(1). 65–74. 19 indexed citations
15.
16.
Razin, Sergey V., et al.. (1988). The distribution of tightly bound proteins along the DNA chain reflects the type of cell differentiation. Nucleic Acids Research. 16(9). 3617–3633. 17 indexed citations
17.
Chumakov, Peter M., et al.. (1982). [Isolation of a plasmid clone containing the mRNA sequence for mouse nonviral T-antigen].. PubMed. 267(5). 1272–5. 9 indexed citations
18.
Kavsan, V. M., et al.. (1975). [DNA synthesis on the heterogeneous nuclear RNA template catalysed by DNA polymerase of avian myeloblastosis virus].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 9(5). 768–74. 1 indexed citations
19.
Рысков, А. П., Robert B. Church, György Bajszár, & G. P. Georgiev. (1973). Inverted repetitions in mammalian DNA transcribed into nucleus-restricted hairpin-like structures of pre-mRNA. Molecular Biology Reports. 1(2). 119–122. 5 indexed citations
20.
Lukanidin, E. M., G. P. Georgiev, & G. P. Georgiev. (1971). A comparative study of the protein components of nuclear and polysomal messenger ribonucleoprotein. FEBS Letters. 19(2). 152–156. 27 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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