Paula M. Pijut
- Molecular Biology top 10%
- Plant Science top 5%
- Cell Biology top 10%
- Biotechnology top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Charles H. MichlerXiaomei LiuG. VengadesanKeith WoesteKaitlin J. PallaMichael E. OstryAna Carolina Torregroza-EspinosaShaneka S. Lawson
- Topics
- Plant tissue culture and regeneration (33 papers)Plant Pathogens and Fungal Diseases (16 papers)Forest Insect Ecology and Management (10 papers)
- Partner nations
- United StatesIranChina
In The Last Decade
Paula M. Pijut
60 papers receiving 989 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 754
- Plant Science 718
- Cell Biology 181
- Biotechnology 105
- Ecology, Evolution, Behavior and Systematics 104
Countries citing papers authored by Paula M. Pijut
This map shows the geographic impact of Paula M. Pijut'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 Paula M. Pijut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula M. Pijut more than expected).
Fields of papers citing papers by Paula M. Pijut
This network shows the impact of papers produced by Paula M. Pijut. 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 Paula M. Pijut. The network helps show where Paula M. Pijut may publish in the future.
Co-authorship network of co-authors of Paula M. Pijut
This figure shows the co-authorship network connecting the top 25 collaborators of Paula M. Pijut. A scholar is included among the top collaborators of Paula M. Pijut based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paula M. Pijut. Paula M. Pijut is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 36 | |
| 3 | 20 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 71 | |
| 8 | 20 | |
| 9 | IN VITRO PROPAGATION OF TROPICAL HARDWOOD TREE SPECIES - A REVIEW (2001-2011) | 25 |
| 10 | Genetic transformation of Fraxinus spp. for resistance to the emerald ash borer | 3 |
| 11 | 6 | |
| 12 | 33 | |
| 13 | 25 | |
| 14 | 31 | |
| 15 | 57 | |
| 16 | 22 | |
| 17 | 2 | |
| 18 | 16 | |
| 19 | 17 | |
| 20 | Effects of culture filtrates of Ceratocystis ulmi on growth and ultrastructure of in vitro cultured Ulmus Americana / | 1 |
About Paula M. Pijut
Paula M. Pijut is a scholar working on Endocrinology, Plant Science and Horticulture, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (33 papers), Plant Pathogens and Fungal Diseases (16 papers) and Forest Insect Ecology and Management (10 papers). The work is most often cited by research in Endocrinology (102 citations), Plant Science (718 citations) and Biotechnology (105 citations). Paula M. Pijut has collaborated with scholars based in United States, Iran and China. Frequent co-authors include Charles H. Michler, Xiaomei Liu, G. Vengadesan, Keith Woeste, Kaitlin J. Palla, Michael E. Ostry, Ana Carolina Torregroza-Espinosa, Shaneka S. Lawson, Jun Hyung Lee and Guihua Bai. Their work appears in journals such as Journal of Experimental Botany, Phytochemistry and Plant Science.
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.