Katica Ilic
Impact in
- Plant Science top 10%
- Chromosomal and Genetic Variations
- Plant nutrient uptake and metabolism
- Plant Disease Resistance and Genetics
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- Genomics and Phylogenetic Studies
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
Papers in
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- Genomics and Phylogenetic Studies 4
- Biomedical Text Mining and Ontologies 3
- Plant Gene Expression Analysis 2
- Bioinformatics and Genomic Networks 1
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- Banana Cultivation and Research 2
- Mycorrhizal Fungi and Plant Interactions 1
- Co-authors
- Phillip SanMiguel (1 shared paper)Jeffrey L. Bennetzen (1 shared paper)Martin M. Sachs (5 shared papers)Leonore Reiser (5 shared papers)Pankaj Jaiswal (5 shared papers)Anuradha Pujar (5 shared papers)Peter F. Stevens (5 shared papers)Doreen Ware (5 shared papers)
- Journals
- PLANT PHYSIOLOGY (2 papers)Trends in Genetics (1 paper)Nucleic Acids Research (1 paper)Comparative and Functional Genomics (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Katica Ilic
7 papers receiving 476 citations
Peers
Comparison fields: 5 of 53
- Plant Science 277
- Molecular Biology 331
- Genetics 112
- Ecological Modeling 14
- Artificial Intelligence 66
Countries citing papers authored by Katica Ilic
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
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 18 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 127 | |
| 2 | 2008 | 114 | |
| 3 | 2005 | 110 | |
| 4 | 2006 | 81 | |
| 5 | 2006 | 45 | |
| 6 | 2004 | 20 | |
| 7 | Plant Ontology (PO): a controlled vocabulary of plant structures and growth stages: Research Articles | 2005 | 1 |
About Katica Ilic
Katica Ilic is a scholar working on Molecular Biology, Plant Science, Pharmacology, Artificial Intelligence and Genetics, having authored 7 papers that have together received 498 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Biomedical Text Mining and Ontologies (3 papers), Banana Cultivation and Research (2 papers), Plant Gene Expression Analysis (2 papers), Bioinformatics and Genomic Networks (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Semantic Web and Ontologies (1 paper) and Mycorrhizal Fungi and Plant Interactions (1 paper). The work is most often cited by research in Plant Science (277 citations), Molecular Biology (331 citations), Genetics (112 citations), Ecological Modeling (14 citations) and Artificial Intelligence (66 citations). Katica Ilic has collaborated with scholars based in United States and Canada. Frequent co-authors include Phillip SanMiguel, Jeffrey L. Bennetzen, Martin M. Sachs, Leonore Reiser, Pankaj Jaiswal, Anuradha Pujar, Peter F. Stevens, Doreen Ware, Lincoln Stein and Elizabeth A. Kellogg. Their work appears in journals such as PLANT PHYSIOLOGY, Trends in Genetics, Nucleic Acids Research, 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.