Ivan Boubriak
Impact in
- Plant Science top 10%
- Seed Germination and Physiology
- Plant Genetic and Mutation Studies
Papers in
-
- Plant Genetic and Mutation Studies 7
- Seed Germination and Physiology 5
- Chromosomal and Genetic Variations 3
- Plant Stress Responses and Tolerance 3
- Plant Molecular Biology Research 2
-
- DNA Repair Mechanisms 5
- CRISPR and Genetic Engineering 3
- Co-authors
- Daphne J. Osborne (8 shared papers)Shirley McCready (6 shared papers)Shiladitya DasSarma (3 shared papers)Ming Dong (2 shared papers)Brian R. Berquist (2 shared papers)Wooi Loon Ng (2 shared papers)Lynne S. Cox (5 shared papers)Robert D. C. Saunders (4 shared papers)
- Journals
- Seed Science Research (3 papers)Annals of Botany (2 papers)PLoS ONE (2 papers)Molecular Cell (1 paper)Human Genetics (1 paper)
- Partner nations
- United KingdomUkraineUnited States
In The Last Decade
Ivan Boubriak
25 papers receiving 645 citations
Peers
Comparison fields: 5 of 82
- Aging 18
- Plant Science 301
- Molecular Biology 341
- Physiology 22
- Clinical Biochemistry 26
Countries citing papers authored by Ivan Boubriak
This map shows the geographic impact of Ivan Boubriak'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 Ivan Boubriak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Boubriak more than expected).
Fields of papers citing papers by Ivan Boubriak
This network shows the impact of papers produced by Ivan Boubriak. 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 Ivan Boubriak. The network helps show where Ivan Boubriak may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Boubriak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 72 | |
| 2 | 2006 | 72 | |
| 3 | 2007 | 67 | |
| 4 | 1997 | 50 | |
| 5 | 2007 | 46 | |
| 6 | 1994 | 42 | |
| 7 | 2004 | 39 | |
| 8 | 2011 | 36 | |
| 9 | 2008 | 32 | |
| 10 | 2014 | 30 | |
| 11 | 2008 | 25 | |
| 12 | 2016 | 25 | |
| 13 | 2000 | 23 | |
| 14 | 2008 | 20 | |
| 15 | 2007 | 15 | |
| 16 | 2002 | 13 | |
| 17 | 2007 | 12 | |
| 18 | 2017 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2012 | 8 |
About Ivan Boubriak
Ivan Boubriak is a scholar working on Plant Science, Molecular Biology, Clinical Biochemistry, Physiology and Biochemistry, having authored 25 papers that have together received 664 indexed citations. Recurring topics across this work include Plant Genetic and Mutation Studies (7 papers), Seed Germination and Physiology (5 papers), DNA Repair Mechanisms (5 papers), Chromosomal and Genetic Variations (3 papers), Plant Stress Responses and Tolerance (3 papers), CRISPR and Genetic Engineering (3 papers), Plant Molecular Biology Research (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Aging (18 citations), Plant Science (301 citations), Molecular Biology (341 citations), Physiology (22 citations) and Clinical Biochemistry (26 citations). Ivan Boubriak has collaborated with scholars based in United Kingdom, Ukraine and United States. Frequent co-authors include Daphne J. Osborne, Shirley McCready, Shiladitya DasSarma, Ming Dong, Brian R. Berquist, Wooi Loon Ng, Lynne S. Cox, Robert D. C. Saunders, David J. Crowley and Yitzchak Gutterman. Their work appears in journals such as Seed Science Research, Annals of Botany, PLoS ONE, Molecular Cell and Human Genetics.
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.