Euphemia Mutasa-Gottgens
- Plant Science top 5%
- Molecular Biology
- Genetics
- Cancer Research
- Endocrinology top 10%
- Co-authors
- Peter HeddenAndreas MüllerTansy ChiaChristian JungGraham McGrannM. J. C. AsherM. K. GrimmerMark I. Stevens
- Topics
- Plant Virus Research Studies (5 papers)Plant Molecular Biology Research (5 papers)Plant Disease Resistance and Genetics (4 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Euphemia Mutasa-Gottgens
20 papers receiving 955 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Plant Science 734
- Molecular Biology 622
- Genetics 52
- Cancer Research 49
- Endocrinology 40
Countries citing papers authored by Euphemia Mutasa-Gottgens
This map shows the geographic impact of Euphemia Mutasa-Gottgens'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 Euphemia Mutasa-Gottgens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Euphemia Mutasa-Gottgens more than expected).
Fields of papers citing papers by Euphemia Mutasa-Gottgens
This network shows the impact of papers produced by Euphemia Mutasa-Gottgens. 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 Euphemia Mutasa-Gottgens. The network helps show where Euphemia Mutasa-Gottgens may publish in the future.
Co-authorship network of co-authors of Euphemia Mutasa-Gottgens
This figure shows the co-authorship network connecting the top 25 collaborators of Euphemia Mutasa-Gottgens. A scholar is included among the top collaborators of Euphemia Mutasa-Gottgens 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 Euphemia Mutasa-Gottgens. Euphemia Mutasa-Gottgens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Applications of single-cell RNA sequencing in drug discovery and developmentbreakdown → | 205 |
| 2 | 9 | |
| 3 | 53 | |
| 4 | 4 | |
| 5 | 39 | |
| 6 | 31 | |
| 7 | 348 | |
| 8 | 67 | |
| 9 | 106 | |
| 10 | 20 | |
| 11 | 31 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 13 | |
| 15 | Isolation and characterization of genes induced during non-host resistance to Polymyxa spp | 1 |
| 16 | 2 | |
| 17 | 15 | |
| 18 | 34 | |
| 19 | Rhizomania : The role of vector and virus resistnace | 2 |
| 20 | Development and application of molecular methods for the study of Polymyxa betae. | 2 |
About Euphemia Mutasa-Gottgens
Euphemia Mutasa-Gottgens is a scholar working on Plant Science, Toxicology and Biophysics, having authored 20 papers that have together received 990 indexed citations. Recurring topics across this work include Plant Virus Research Studies (5 papers), Plant Molecular Biology Research (5 papers) and Plant Disease Resistance and Genetics (4 papers). The work is most often cited by research in Plant Science (734 citations), Molecular Biology (622 citations) and Endocrinology (40 citations). Euphemia Mutasa-Gottgens has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Peter Hedden, Andreas Müller, Tansy Chia, Christian Jung, Graham McGrann, M. J. C. Asher, M. K. Grimmer, Mark I. Stevens, Jonathan Manning and Melissa G. Mendez. Their work appears in journals such as Nature Reviews Drug Discovery, Journal of Experimental Botany and BMC Genomics.
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.