П. М. Рубцов

847 total citations
19 papers, 707 citations indexed

About

П. М. Рубцов is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, П. М. Рубцов has authored 19 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Epidemiology. Recurrent topics in П. М. Рубцов's work include Growth Hormone and Insulin-like Growth Factors (5 papers), RNA and protein synthesis mechanisms (5 papers) and Liver Disease Diagnosis and Treatment (3 papers). П. М. Рубцов is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (5 papers), RNA and protein synthesis mechanisms (5 papers) and Liver Disease Diagnosis and Treatment (3 papers). П. М. Рубцов collaborates with scholars based in Russia, United Kingdom and Tajikistan. П. М. Рубцов's co-authors include K. G. Skryabin, V.M. Zakharyev, A.A. Bayev, A.S. Krayev, Alexander S. Mankin, B. K. Chernov, О. V. Smirnova, Roman L. Bogorad, L. A. Baratova and Alexei M. Kopylov and has published in prestigious journals such as Nucleic Acids Research, Gene and Journal of Endocrinology.

In The Last Decade

П. М. Рубцов

19 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
П. М. Рубцов Russia	12	515	165	99	98	86	19	707
Hamideh Zakeri United States	8	404 0.8×	166 1.0×	51 0.5×	55 0.6×	242 2.8×	12	771
Ken‐ichi Tsutsumi Japan	18	529 1.0×	283 1.7×	208 2.1×	77 0.8×	109 1.3×	63	1.0k
Eric I. Sun United States	12	496 1.0×	187 1.1×	70 0.7×	49 0.5×	127 1.5×	16	789
Gorji Marzban Austria	18	259 0.5×	256 1.6×	81 0.8×	82 0.8×	38 0.4×	32	907
Gail Baughman United States	12	1.2k 2.3×	148 0.9×	175 1.8×	41 0.4×	432 5.0×	13	1.5k
Patrice Martin France	13	227 0.4×	77 0.5×	44 0.4×	33 0.3×	421 4.9×	24	750
A. Jaworski United States	10	569 1.1×	156 0.9×	130 1.3×	101 1.0×	150 1.7×	22	762
Jean‐François Pageaux France	15	705 1.4×	93 0.6×	26 0.3×	80 0.8×	93 1.1×	29	1.0k
Dustin Lippert Canada	14	412 0.8×	204 1.2×	103 1.0×	48 0.5×	21 0.2×	16	691

Countries citing papers authored by П. М. Рубцов

Since Specialization

Citations

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

Fields of papers citing papers by П. М. Рубцов

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by П. М. Рубцов. 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 П. М. Рубцов. The network helps show where П. М. Рубцов may publish in the future.

Co-authorship network of co-authors of П. М. Рубцов

This figure shows the co-authorship network connecting the top 25 collaborators of П. М. Рубцов. A scholar is included among the top collaborators of П. М. Рубцов 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 П. М. Рубцов. П. М. Рубцов is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Petrushanko, Irina Yu., Vladimir A. Mitkevich, Valentina A. Lakunina, et al.. (2017). Cysteine residues 244 and 458–459 within the catalytic subunit of Na,K-ATPase control the enzyme's hydrolytic and signaling function under hypoxic conditions. Redox Biology. 13. 310–319. 24 indexed citations

Рубцов, П. М., et al.. (2015). [DAX1-unusual member of nuclear receptors superfamily with diverse functions].. PubMed. 49(1). 75–88. 4 indexed citations

Рубцов, П. М., et al.. (2015). DAX1, an unusual member of the nuclear receptor superfamily with diverse functions. Molecular Biology. 49(1). 65–76. 8 indexed citations

Рубцов, П. М., et al.. (2015). The role of HCV e2 protein glycosylation in functioning of virus envelope proteins in insect and Mammalian cells.. PubMed. 7(1). 87–97. 11 indexed citations

Spirin, Pavel, et al.. (2015). The Role of HCV E2 Protein Glycosylation in Functioning of Virus Envelope Proteins in Insect and Mammalian Cells. Acta Naturae. 7(1). 87–97. 12 indexed citations

Mityaeva, Olga, et al.. (2010). HLA-DQA1, AB0, and AMEL genotyping of biological material with biochips. Molecular Biology. 44(3). 401–406. 11 indexed citations

Bogorad, Roman L., et al.. (2006). Prolactin receptors in rat cholangiocytes: Regulation of level and isoform ratio is sex independent. Biochemistry (Moscow). 71(2). 178–184. 7 indexed citations

Bogorad, Roman L., et al.. (2006). Long isoform of prolactin receptor predominates in rat intrahepatic bile ducts and further increases under obstructive cholestasis. Journal of Endocrinology. 188(2). 345–354. 21 indexed citations

Bogorad, Roman L., et al.. (2004). Influence of Obstructive Cholestasis and Sex Hormones on the Ratio of mRNA of Two Alternative Prolactin Receptor Isoforms in Rat Hepatocytes. Biochemistry (Moscow). 69(10). 1114–1122. 3 indexed citations

10.

Morozov, I. A., Inna Astapova, А. Н. Смирнов, & П. М. Рубцов. (2004). Localization of Matrix-Associated Elements in the 5′-Region of the Rat Estrogen Sulfotransferase Gene. Russian Journal of Bioorganic Chemistry. 30(4). 349–352. 1 indexed citations

11.

Рубцов, П. М., et al.. (2002). Pregna-D′-pentarane structure influences progesterone receptor affinity for DNA. Steroids. 67(5). 323–332. 13 indexed citations

12.

Bogorad, Roman L., et al.. (2002). The Ratio of Prolactin Receptor Isoforms in Rat Hepatocytes: The Effect of Obstructive Cholestasis. Molecular Biology. 36(1). 71–73. 6 indexed citations

13.

Chernov, B. K., et al.. (1992). Variants of the 5′-untranslated sequence of human growth hormone receptor mRNA. Molecular and Cellular Endocrinology. 90(1). 103–109. 71 indexed citations

14.

Mankin, Alexander S., K. G. Skryabin, & П. М. Рубцов. (1986). Identification of ten additional nucleotides in the primary structure of yeast 18S rRNA. Gene. 44(1). 143–145. 112 indexed citations

15.

Рубцов, П. М., et al.. (1985). [Expression of the hybrid protein beta-galactosidase-[Val8]-calcitonin in Escherichia coli].. PubMed. 283(6). 1507–9. 1 indexed citations

16.

Mankin, Alexander S., Natalya L. Teterina, П. М. Рубцов, et al.. (1985). The nucleotide sequence of the gene coding for the 16S rRNA from the archaebacterium Halobacterium halobium. Gene. 37(1-3). 181–189. 37 indexed citations

17.

Mankin, Alexander S., et al.. (1984). Putative promoter region of rRNA operon from archaebacteriumHalobacterium halobium. Nucleic Acids Research. 12(16). 6537–6546. 36 indexed citations

18.

Рубцов, П. М., et al.. (1980). The structure of the yeast ribosomal RNA genes. I. The complete nucleotide sequence of the 18S ribosomal RNA gene from Saccharomyces cerevisiae. Nucleic Acids Research. 8(23). 5779–5794. 313 indexed citations

19.

Kraev, Alexander, et al.. (1979). [Full sequence of the nucleotides of the spacer region located between the genes for yeast 18S and 5.8S RNA].. PubMed. 247(3). 761–5. 16 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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