Yu. N. Valitova

518 citations
22 papers · 371 indexed · h-index 8
Topics
Plant Reproductive Biology (6 papers)Lipid Membrane Structure and Behavior (4 papers)Plant biochemistry and biosynthesis (4 papers)
Journals
SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesPhytochemistry
Partner nations
RussiaSouth AfricaSweden

In The Last Decade

Yu. N. Valitova

21 papers receiving 359 citations

Peers

Yu. N. Valitova
Comparison fields: 5 of 67
  • Molecular Biology 199
  • Plant Science 153
  • Surgery 57
  • Physiology 46
  • Biophysics 42
Replace P. Mende with:
P. Mende Germany
Louise C. B. Olsen Denmark
Ione Salgado Martins Brazil
Sheng Li China
Cunwu Chen China
Ana Maria Kelmer-Bracht Brazil
L.E.S. Netto Brazil
Eunjung Kwon South Korea
Yating Dong China
Mickael M. Maucourt France
Yu. N. Valitova relative to P. Mende Germany P. Mende's profile →
Citations per field
00.5×20×40×58×
P. Mende · 1×
Citations per year

Countries citing papers authored by Yu. N. Valitova

Since Specialization
Citations

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

Fields of papers citing papers by Yu. N. Valitova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu. N. Valitova. 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 Yu. N. Valitova. The network helps show where Yu. N. Valitova may publish in the future.

Co-authorship network of co-authors of Yu. N. Valitova

This figure shows the co-authorship network connecting the top 25 collaborators of Yu. N. Valitova. A scholar is included among the top collaborators of Yu. N. Valitova 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 Yu. N. Valitova. Yu. N. Valitova 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 14
2 0
3 1
4 1
5 1
6 2
7 5
8 3
9 44
10 7
11 202
12 3
13 14
14 3
15 20
16 12
17 8
18 19
19 2
20 4

About Yu. N. Valitova

Yu. N. Valitova is a scholar working on Biophysics, Plant Science and Spectroscopy, having authored 22 papers that have together received 371 indexed citations. Recurring topics across this work include Plant Reproductive Biology (6 papers), Lipid Membrane Structure and Behavior (4 papers) and Plant biochemistry and biosynthesis (4 papers). The work is most often cited by research in Biophysics (42 citations), Biochemistry (37 citations) and Plant Science (153 citations). Yu. N. Valitova has collaborated with scholars based in Russia, South Africa and Sweden. Frequent co-authors include F. V. Minibayeva, Richard P. Beckett, И. С. Рыжкина, S. А. Dmitrieva, A. I. Konovalov, Л. И. Муртазина, Е. Р. Котлова, Alexey L. Shavarda, Evgeny A. Kataev and Anastasia A. Ponomareva. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Phytochemistry.

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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