Małgorzata D. Gaj
- Plant Science top 1%
- Molecular Biology top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Biotechnology top 10%
- Cell Biology
- Co-authors
- Barbara WójcikowskaAnna M. WójcikKatarzyna NowakPeggy G. LemauxJohn J. HaradaShibo ZhangMichael D. NodineBernd Mueller‐Roeber
- Topics
- Plant tissue culture and regeneration (43 papers)Plant Molecular Biology Research (34 papers)Plant Reproductive Biology (23 papers)
In The Last Decade
Małgorzata D. Gaj
43 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 61
- Plant Science 1.8k
- Molecular Biology 1.8k
- Ecology, Evolution, Behavior and Systematics 86
- Biotechnology 80
- Cell Biology 31
Countries citing papers authored by Małgorzata D. Gaj
This map shows the geographic impact of Małgorzata D. Gaj'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 Małgorzata D. Gaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Małgorzata D. Gaj more than expected).
Fields of papers citing papers by Małgorzata D. Gaj
This network shows the impact of papers produced by Małgorzata D. Gaj. 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 Małgorzata D. Gaj. The network helps show where Małgorzata D. Gaj may publish in the future.
Co-authorship network of co-authors of Małgorzata D. Gaj
This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata D. Gaj. A scholar is included among the top collaborators of Małgorzata D. Gaj 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 Małgorzata D. Gaj. Małgorzata D. Gaj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 12 | |
| 6 | 106 | |
| 7 | 57 | |
| 8 | 64 | |
| 9 | 23 | |
| 10 | 131 | |
| 11 | 98 | |
| 12 | 2 | |
| 13 | 16 | |
| 14 | 32 | |
| 15 | 60 | |
| 16 | 229 | |
| 17 | 12 | |
| 18 | Evaluation of plant regeneration ability in culture of immature embryos of different Arabidopsis thaliana [L.] HEYNH. genotypes | 1 |
| 19 | Parthenogenetic barley haploids obtained by auxin treatment | 1 |
| 20 | Isozyme variation in callus culture of Arabidopsis thaliana (L.) Heynh | 2 |
About Małgorzata D. Gaj
Małgorzata D. Gaj is a scholar working on Plant Science, Molecular Biology and Biotechnology, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (43 papers), Plant Molecular Biology Research (34 papers) and Plant Reproductive Biology (23 papers). The work is most often cited by research in Plant Science (1.8k citations), Molecular Biology (1.8k citations) and Horticulture (13 citations). Małgorzata D. Gaj has collaborated with scholars based in Poland, Czechia and Austria. Frequent co-authors include Barbara Wójcikowska, Anna M. Wójcik, Katarzyna Nowak, Peggy G. Lemaux, John J. Harada, Shibo Zhang, Michael D. Nodine, Bernd Mueller‐Roeber, Salma Balazadeh and Jagna Karcz. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Frontiers in 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.