Daniel I. Păcurar
Impact in
- Plant Science top 1%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Plant Parasitism and Resistance
- Molecular Biology top 10%
- Plant tissue culture and regeneration
- Plant Reproductive Biology
- Photosynthetic Processes and Mechanisms
- Plant Gene Expression Analysis
Papers in
-
- Plant Molecular Biology Research 8
- Plant Parasitism and Resistance 4
- Chromosomal and Genetic Variations 3
- Plant nutrient uptake and metabolism 2
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- Transgenic Plants and Applications 2
- Co-authors
- Catherine BelliniIrene PerroneMonica Lăcrămioara PăcurarLaurent GutierrezJohn D. BussellJoséli SchwambachOndřej NovákMariusz Kowalczyk
In The Last Decade
Daniel I. Păcurar
15 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Plant Science 1.8k
- Molecular Biology 1.2k
- Horticulture 7
- Ecology, Evolution, Behavior and Systematics 91
- Agronomy and Crop Science 46
Countries citing papers authored by Daniel I. Păcurar
This map shows the geographic impact of Daniel I. Păcurar'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 Daniel I. Păcurar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel I. Păcurar more than expected).
Fields of papers citing papers by Daniel I. Păcurar
This network shows the impact of papers produced by Daniel I. Păcurar. 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 Daniel I. Păcurar. The network helps show where Daniel I. Păcurar may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel I. Păcurar, 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 | 2019 | 154 | |
| 2 | 2017 | 18 | |
| 3 | 2017 | 8 | |
| 4 | 2014 | 28 | |
| 5 | 2014 | 5 | |
| 6 | 2014 | 266 | |
| 7 | Adventitious Roots and Lateral Roots: Similarities and Differences Hit paper breakdown → | 2014 | 449 |
| 8 | 2012 | 380 | |
| 9 | 2012 | 66 | |
| 10 | 2011 | 53 | |
| 11 | 2009 | 2 | |
| 12 | 2009 | 454 | |
| 13 | Model organisms - a journey from the dawn of biological research to the post-genomic era | 2009 | 5 |
| 14 | 2008 | 1 | |
| 15 | 2007 | 44 |
About Daniel I. Păcurar
Daniel I. Păcurar is a scholar working on Plant Science, Biotechnology, Molecular Biology, Agronomy and Crop Science and Cell Biology, having authored 15 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (8 papers), Plant Reproductive Biology (6 papers), Plant tissue culture and regeneration (6 papers), Plant Parasitism and Resistance (4 papers), Chromosomal and Genetic Variations (3 papers), Plant nutrient uptake and metabolism (2 papers), Transgenic Plants and Applications (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Plant Science (1.8k citations), Molecular Biology (1.2k citations), Horticulture (7 citations), Ecology, Evolution, Behavior and Systematics (91 citations) and Agronomy and Crop Science (46 citations). Daniel I. Păcurar has collaborated with scholars based in Sweden, France and Romania. Frequent co-authors include Catherine Bellini, Irene Perrone, Monica Lăcrămioara Păcurar, Laurent Gutierrez, John D. Bussell, Joséli Schwambach, Ondřej Novák, Mariusz Kowalczyk, Kristýna Floková and Hervé Demailly. Their work appears in journals such as The Plant Cell, Transgenic Research, Journal of Experimental Botany, Scientific Reports and Annual Review of Plant Biology.
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.