I. V. Uryvaeva

739 citations
25 papers · 626 indexed · h-index 9
Topics
Liver physiology and pathology (9 papers)Telomeres, Telomerase, and Senescence (5 papers)Liver Disease Diagnosis and Treatment (3 papers)
Partner nations
RussiaBulgaria

In The Last Decade

I. V. Uryvaeva

23 papers receiving 585 citations

Peers

I. V. Uryvaeva
Comparison fields: 5 of 77
  • Molecular Biology 368
  • Plant Science 125
  • Hepatology 120
  • Surgery 108
  • Cancer Research 91
Replace Germain Margall-Ducos with:
Germain Margall-Ducos France
Ken Zaret United States
Noriyuki Matsuo Japan
Katarzyna Szymańska United Kingdom
Stephanie M. Cascio United States
David G. Overdier United States
T. Ishikawa Japan
M. Rivière Belgium
Sarantis Gagos Greece
Rodrigo Fernandez‐Valdivia United States
I. V. Uryvaeva relative to Germain Margall-Ducos France Germain Margall-Ducos's profile →
Citations per field
00.5×3.5×
Germain Margall-Ducos · 1×
Citations per year

Countries citing papers authored by I. V. Uryvaeva

Since Specialization
Citations

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

Fields of papers citing papers by I. V. Uryvaeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. V. Uryvaeva. 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 I. V. Uryvaeva. The network helps show where I. V. Uryvaeva may publish in the future.

Co-authorship network of co-authors of I. V. Uryvaeva

This figure shows the co-authorship network connecting the top 25 collaborators of I. V. Uryvaeva. A scholar is included among the top collaborators of I. V. Uryvaeva 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 I. V. Uryvaeva. I. V. Uryvaeva 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
#WorkIndexed citations
1 2
2 4
3 5
4 2
5 2
6 5
7 27
8 1
9 5
10
Genome multiplication in growth and development : biology of polyploid and polytene cells
59
11 3
12 1
13 11
14 61
15
[Polyploidizing mitoses and the biological meaning of polyploidy in liver cells].
4
16 0
17 341
18 1
19 35
20 5

About I. V. Uryvaeva

I. V. Uryvaeva is a scholar working on Hepatology, Aging and Physiology, having authored 25 papers that have together received 626 indexed citations. Recurring topics across this work include Liver physiology and pathology (9 papers), Telomeres, Telomerase, and Senescence (5 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (120 citations), Cancer Research (91 citations) and Aging (10 citations). I. V. Uryvaeva has collaborated with scholars based in Russia and Bulgaria. Frequent co-authors include Valentina M. Factor, N. V. Engelhardt, G Abelev, А. С. Соколова, V. A. Chernov, Н. П. Шарова, М. L. Semenova, Arsen Mikaelyan and Valerian E. Kagan. Their work appears in journals such as Nature, Journal of Theoretical Biology and Cell and Tissue Research.

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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