Ewa Urbańczyk-Wochniak
- Plant Science top 1%
- Molecular Biology top 5%
- Food Science top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Genetics
- Co-authors
- Alisdair R. FernieLloyd W. SumnerAdriano Nunes‐NesiLothar WillmitzerDavid V. HuhmanFernando CarrariAaron FaitGad Galili
- Topics
- Plant nutrient uptake and metabolism (12 papers)Photosynthetic Processes and Mechanisms (8 papers)Metabolomics and Mass Spectrometry Studies (6 papers)
- Partner nations
- GermanyUnited StatesPoland
In The Last Decade
Ewa Urbańczyk-Wochniak
34 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 101
- Plant Science 2.0k
- Molecular Biology 1.9k
- Food Science 163
- Ecology, Evolution, Behavior and Systematics 122
- Genetics 122
Countries citing papers authored by Ewa Urbańczyk-Wochniak
This map shows the geographic impact of Ewa Urbańczyk-Wochniak'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 Ewa Urbańczyk-Wochniak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Urbańczyk-Wochniak more than expected).
Fields of papers citing papers by Ewa Urbańczyk-Wochniak
This network shows the impact of papers produced by Ewa Urbańczyk-Wochniak. 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 Ewa Urbańczyk-Wochniak. The network helps show where Ewa Urbańczyk-Wochniak may publish in the future.
Co-authorship network of co-authors of Ewa Urbańczyk-Wochniak
This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Urbańczyk-Wochniak. A scholar is included among the top collaborators of Ewa Urbańczyk-Wochniak 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 Ewa Urbańczyk-Wochniak. Ewa Urbańczyk-Wochniak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 92 | |
| 3 | 87 | |
| 4 | 182 | |
| 5 | 63 | |
| 6 | 75 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 75 | |
| 10 | 66 | |
| 11 | 20 | |
| 12 | 91 | |
| 13 | 51 | |
| 14 | 93 | |
| 15 | 152 | |
| 16 | 33 | |
| 17 | 17 | |
| 18 | AFLP marker polymorphism in cucumber (Cucumis sativus L.) near isogenic lines differing in sex expression. | 15 |
| 19 | 242 | |
| 20 | A useful protocol for in situ RT-PCR on plant tissues. | 20 |
About Ewa Urbańczyk-Wochniak
Ewa Urbańczyk-Wochniak is a scholar working on Horticulture, Plant Science and Molecular Biology, having authored 34 papers that have together received 2.8k indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (12 papers), Photosynthetic Processes and Mechanisms (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Plant Science (2.0k citations), Molecular Biology (1.9k citations) and Biochemistry (104 citations). Ewa Urbańczyk-Wochniak has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Alisdair R. Fernie, Lloyd W. Sumner, Adriano Nunes‐Nesi, Lothar Willmitzer, David V. Huhman, Fernando Carrari, Aaron Fait, Gad Galili, Itzhak Ohad and Hadar Less. Their work appears in journals such as Bioinformatics, The Plant Cell and PLANT PHYSIOLOGY.
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.