П. М. Рубцов

1.0k citations
66 papers · 818 · h-index 15

Impact in

Papers in

    • RNA modifications and cancer 9
    • RNA Research and Splicing 8
    • RNA and protein synthesis mechanisms 7
    • Sexual Differentiation and Disorders 6
    • RNA Interference and Gene Delivery 5
    • Estrogen and related hormone effects 11
    • Virus-based gene therapy research 6

П. М. Рубцов

62 papers receiving 783 citations

Peers

П. М. Рубцов
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 209
  • Genetics 203
  • Molecular Biology 462
  • Cancer Research 60
  • Toxicology 12
Replace Qingtian Li with:
Qingtian Li United States
Meredith A. Borman Canada
Mariana Cooke United States
Yolande Bastien Canada
R. Galien France
Emily M. Walker United States
Jianqi Cui United States
Jeff N. Vanderbilt United States
Eiji Ohmura Japan
Lisa S. Smit United States
П. М. Рубцов relative to Qingtian Li United States Qingtian Li's profile →
Citations per field
00.5×2.6×
Qingtian Li · 1×
Citations per year

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-authors

The 25 scholars most cited alongside П. М. Рубцов, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with П. М. Рубцов Line = papers co-authored together П. М. Рубцов links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200779
2 200866
3 201460
4 201159
5 200544
6 201336
7 201931
8 200530
9 200629
10 202123
11 201321
12 202220
13 201618
14 201516
15 201314
16 201314
17 201013
18 202212
19 202312
20 201112

About П. М. Рубцов

П. М. Рубцов is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Surgery and Immunology, having authored 66 papers that have together received 818 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), RNA modifications and cancer (9 papers), RNA Research and Splicing (8 papers), Pancreatic function and diabetes (8 papers), RNA and protein synthesis mechanisms (7 papers), Sexual Differentiation and Disorders (6 papers), Virus-based gene therapy research (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (209 citations), Genetics (203 citations), Molecular Biology (462 citations), Cancer Research (60 citations) and Toxicology (12 citations). П. М. Рубцов has collaborated with scholars based in Russia, Tajikistan and Germany. Frequent co-authors include Anatoly Tiulpakov, Pavel Spirin, Valentina Peterkova, Vladimir Prassolov, I. A. Morozov, А. Н. Смирнов, Timofey Lebedev, И. И. Дедов, Shoshana Yakar and Kenjiro Inagaki. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences, Biochemistry (Moscow), Oncogene and Journal of Cellular and Molecular Medicine.

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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