Vladic Mogila

1.1k citations
28 papers · 648 indexed · h-index 13
Topics
Genomics and Chromatin Dynamics (15 papers)Chromosomal and Genetic Variations (11 papers)CRISPR and Genetic Engineering (5 papers)

In The Last Decade

Vladic Mogila

26 papers receiving 645 citations

Peers

Vladic Mogila
Comparison fields: 5 of 59
  • Molecular Biology 591
  • Plant Science 186
  • Genetics 84
  • Cell Biology 47
  • Oncology 41
Replace Maksim Erokhin with:
Maksim Erokhin Russia
Chi-Yun Pai United States
Muhammad A. Zabidi Austria
Stéphanie Kervestin France
Darya Chetverina Russia
Donna E. Crone United States
Howard Granok United States
Birgitte Ø. Wittschieben United States
Carl A. Stratton United States
Artem Bonchuk Russia
Vladic Mogila relative to Maksim Erokhin Russia Maksim Erokhin's profile →
Citations per field
00.5×1.5×2.0×
Maksim Erokhin · 1×
Citations per year

Countries citing papers authored by Vladic Mogila

Since Specialization
Citations

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

Fields of papers citing papers by Vladic Mogila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladic Mogila. 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 Vladic Mogila. The network helps show where Vladic Mogila may publish in the future.

Co-authorship network of co-authors of Vladic Mogila

This figure shows the co-authorship network connecting the top 25 collaborators of Vladic Mogila. A scholar is included among the top collaborators of Vladic Mogila 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 Vladic Mogila. Vladic Mogila 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 0
2 10
3 11
4 0
5 10
6 27
7 24
8 11
9 30
10 33
11 20
12 7
13 40
14 52
15 18
16 1
17
[Molecular analysis of a double hyperunstable system y(2ns)sc(me)].
1
18 9
19 4
20
[Induction of single transpositions of mobile genetic elements in Drosophila melanogaster using mitomycin C].
4

About Vladic Mogila

Vladic Mogila is a scholar working on Plant Science, Molecular Biology and Oncology, having authored 28 papers that have together received 648 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), Chromosomal and Genetic Variations (11 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Molecular Biology (591 citations), Plant Science (186 citations) and Genetics (84 citations). Vladic Mogila has collaborated with scholars based in Russia, United States and Switzerland. Frequent co-authors include Pavel Georgiev, Artem Bonchuk, Norbert Perrimon, Anna Fedotova, Olga Kyrchanova, Paul Schedl, Craig A. Micchelli, Inge The, Erica M. Selva and Oksana Maksimenko. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Development.

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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