Ivana Saska

1.0k citations
10 papers · 823 indexed · h-index 9
Topics
Biochemical and Structural Characterization (8 papers)Phytoplasmas and Hemiptera pathogens (5 papers)Glycosylation and Glycoproteins Research (4 papers)
Partner nations
AustraliaJapanFrance

In The Last Decade

Ivana Saska

10 papers receiving 813 citations

Peers

Ivana Saska
Comparison fields: 5 of 50
  • Molecular Biology 784
  • Plant Science 351
  • Immunology 221
  • Biotechnology 148
  • Microbiology 76
Replace Teshome Leta Aboye with:
Teshome Leta Aboye United States
Aaron G. Poth Australia
Shane M. Simonsen Australia
A. V. Konarev Russia
Erika Svangård Sweden
Yilong Lian Singapore
Anders Herrmann Sweden
Yibo Qiu Singapore
Ngan Thi Kim Nguyen Vietnam
Noriko Arai Japan
Ivana Saska relative to Teshome Leta Aboye United States Teshome Leta Aboye's profile →
Citations per field
00.5×1.7×
Teshome Leta Aboye · 1×
Citations per year

Countries citing papers authored by Ivana Saska

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Saska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivana Saska

This figure shows the co-authorship network connecting the top 25 collaborators of Ivana Saska. A scholar is included among the top collaborators of Ivana Saska 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 Ivana Saska. Ivana Saska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 21
2 207
3 26
4
Backbone cyclised peptides from plants show molluscicidal activity against the rice pest Pomacea canaliculata
1
5 23
6 19
7 152
8 147
9 183
10 44

About Ivana Saska

Ivana Saska is a scholar working on Plant Science, Microbiology and Immunology, having authored 10 papers that have together received 823 indexed citations. Recurring topics across this work include Biochemical and Structural Characterization (8 papers), Phytoplasmas and Hemiptera pathogens (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Biotechnology (148 citations), Microbiology (76 citations) and Molecular Biology (784 citations). Ivana Saska has collaborated with scholars based in Australia, Japan and France. Frequent co-authors include David J. Craik, Marilyn A. Anderson, Amanda D. Gillon, Manuel R. Plan, Norelle L. Daly, Ralf G. Dietzgen, Noriyuki Hatsugai, Ikuko Hara‐Nishimura, Rosemary F. Guarino and Cameron V. Jennings. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Agricultural and Food Chemistry.

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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