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 4
- Plant Gene Expression Analysis 2
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 1
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- Banana Cultivation and Research 2
- Mycorrhizal Fungi and Plant Interactions 1
- Co-authors
- Jeffrey L. Bennetzen (1 shared paper)Phillip SanMiguel (1 shared paper)Leszek Vincent (5 shared papers)Anuradha Pujar (5 shared papers)Mary Schaeffer (5 shared papers)Susan R. McCouch (5 shared papers)Doreen Ware (5 shared papers)Felipe Zapata (5 shared papers)
- Journals
- PLANT PHYSIOLOGY (2 papers)Proceedings of the National Academy of Sciences (1 paper)Trends in Genetics (1 paper)Nucleic Acids Research (1 paper)Comparative and Functional Genomics (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Katica Ilic
8 papers receiving 519 citations
Peers
Comparison fields: 5 of 53
- Plant Science 296
- Molecular Biology 332
- Genetics 120
- Ecological Modeling 10
- Horticulture 2
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 | 144 | |
| 2 | 2008 | 128 | |
| 3 | 2005 | 122 | |
| 4 | 2006 | 89 | |
| 5 | 2006 | 48 | |
| 6 | 2004 | 22 | |
| 7 | 2007 | 1 | |
| 8 | 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 8 papers that have together received 555 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Biomedical Text Mining and Ontologies (4 papers), Plant Gene Expression Analysis (2 papers), Banana Cultivation and Research (2 papers), Fungal Biology and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers), Mycorrhizal Fungi and Plant Interactions (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Plant Science (296 citations), Molecular Biology (332 citations), Genetics (120 citations), Ecological Modeling (10 citations) and Horticulture (2 citations). Katica Ilic has collaborated with scholars based in United States and Canada. Frequent co-authors include Jeffrey L. Bennetzen, Phillip SanMiguel, Leszek Vincent, Anuradha Pujar, Mary Schaeffer, Susan R. McCouch, Doreen Ware, Felipe Zapata, Seung Y. Rhee and Martin M. Sachs. Their work appears in journals such as PLANT PHYSIOLOGY, Proceedings of the National Academy of Sciences, Trends in Genetics, Nucleic Acids Research and Comparative and Functional Genomics.
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.