Katica Ilic

693 citations
7 papers · 570 · h-index 6

Impact in

    • Chromosomal and Genetic Variations
    • Plant Molecular Biology Research
    • Biomedical Text Mining and Ontologies
    • Bioinformatics and Genomic Networks
    • Genomics and Phylogenetic Studies

Papers in

    • Biomedical Text Mining and Ontologies 5
    • Genomics and Phylogenetic Studies 1
    • Genetic Mapping and Diversity in Plants and Animals 1
    • Genetic diversity and population structure 1

Katica Ilic

7 papers receiving 535 citations

Peers

Katica Ilic
Comparison fields: 5 of 38
  • Plant Science 251
  • Molecular Biology 253
  • Genetics 102
  • Artificial Intelligence 78
  • Information Systems 47
Replace Shulamit Avraham with:
Shulamit Avraham United States
Rosemary Shrestha Mexico
Arllet M. Portugal Philippines
Daniel Arend Germany
Eric Biggers United States
Hanna Ćwiek‐Kupczyńska Poland
Felix Shaw United Kingdom
Nagarajan Kathiresan United States
Inês Chaves Portugal
Bingchao Wu China
Katica Ilic relative to Shulamit Avraham United States Shulamit Avraham's profile →
Citations per field
00.5×1.5×2.2×
Shulamit Avraham · 1×
Citations per year

Countries citing papers authored by Katica Ilic

Since Specialization
Citations

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

Fields of papers citing papers by Katica Ilic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Katica Ilic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Katica Ilic Line = papers co-authored together Katica Ilic links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2003143
2 2008132
3 2005128
4 200693
5 200649
6 200423
7 20072

About Katica Ilic

Katica Ilic is a scholar working on Molecular Biology, Genetics, Plant Science, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 7 papers that have together received 570 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genomics and Phylogenetic Studies (1 paper), Genetic diversity and population structure (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Plant Science (251 citations), Molecular Biology (253 citations), Genetics (102 citations), Artificial Intelligence (78 citations) and Information Systems (47 citations). Katica Ilic has collaborated with scholars based in United States and Canada. Frequent co-authors include Jeffrey L. Bennetzen, Phillip J. SanMiguel, Pankaj Jaiswal, Seung Y. Rhee, Leszek Vincent, Leonore Reiser, Susan R. McCouch, Anuradha Pujar, Doreen Ware and Elizabeth Anne Kellogg. Their work appears in journals such as PLANT PHYSIOLOGY, Nucleic Acids Research, Trends in Genetics, Comparative and Functional Genomics and Proceedings of the National Academy of Sciences.

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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