Ekaterina Gavrish

1.7k citations
25 papers · 1.3k indexed · h-index 14
Topics
Microbial Community Ecology and Physiology (13 papers)Genomics and Phylogenetic Studies (11 papers)Microbial Natural Products and Biosynthesis (3 papers)

In The Last Decade

Ekaterina Gavrish

25 papers receiving 1.2k citations

Peers

Ekaterina Gavrish
Comparison fields: 5 of 107
  • Molecular Biology 758
  • Ecology 423
  • Pharmacology 240
  • Biotechnology 139
  • Genetics 133
Replace Daniela Zühlke with:
Daniela Zühlke Germany
Losee L. Ling United States
André O. Hudson United States
Paolo Monciardini Italy
Amaro E. Trindade‐Silva Brazil
Ângela Mehta Brazil
Suresh Korpole India
Dong-Jin Park South Korea
Tae Kwang Oh South Korea
Ekaterina Gavrish relative to Daniela Zühlke Germany Daniela Zühlke's profile →
Citations per field
00.5×1.5×1.9×
Daniela Zühlke · 1×
Citations per year

Countries citing papers authored by Ekaterina Gavrish

Since Specialization
Citations

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

Fields of papers citing papers by Ekaterina Gavrish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ekaterina Gavrish

This figure shows the co-authorship network connecting the top 25 collaborators of Ekaterina Gavrish. A scholar is included among the top collaborators of Ekaterina Gavrish 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 Ekaterina Gavrish. Ekaterina Gavrish 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 8
2 6
3 14
4 10
5 13
6 315
7 35
8 86
9 6
10 340
11 87
12 42
13 14
14 57
15 10
16 8
17 5
18 12
19 26
20 42

About Ekaterina Gavrish

Ekaterina Gavrish is a scholar working on Ecology, Environmental Chemistry and Molecular Biology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (13 papers), Genomics and Phylogenetic Studies (11 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Molecular Medicine (83 citations), Ecology (423 citations) and Biotechnology (139 citations). Ekaterina Gavrish has collaborated with scholars based in Russia, United States and Germany. Frequent co-authors include Slava S. Epstein, Kim Lewis, Jon Clardy, Eric J. Stewart, Jason M. Crawford, Anthony D’Onofrio, Amy L. Spoering, Losee L. Ling, Г. А. Дубинина and M. Yu. Grabovich. Their work appears in journals such as Applied and Environmental Microbiology, Antimicrobial Agents and Chemotherapy and European Journal of Biochemistry.

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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