Eva C. Thuenemann
- Biotechnology top 0.5%
- Transgenic Plants and Applications 11
- Plant Science top 2%
- Plant Virus Research Studies 11
- Molecular Biology top 10%
- Protist diversity and phylogeny 2
- Endocrinology top 10%
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- Bacteriophages and microbial interactions 8
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- Vector-Borne Animal Diseases 5
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- Viral gastroenteritis research and epidemiology 2
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- Insect symbiosis and bacterial influences 2
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- Marine and coastal plant biology 2
- Co-authors
- George P. LomonossoffFrank SainsburyDavid C. BaulcombeFrank SchwachAttila MolnárDavid J. StudholmeAndrew BassettStephan Ossowski
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Eva C. Thuenemann
20 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Biotechnology 559
- Plant Science 869
- Molecular Biology 1.2k
- Renewable Energy, Sustainability and the Environment 196
- Endocrinology 45
Countries citing papers authored by Eva C. Thuenemann
This map shows the geographic impact of Eva C. Thuenemann'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 Eva C. Thuenemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva C. Thuenemann more than expected).
Fields of papers citing papers by Eva C. Thuenemann
This network shows the impact of papers produced by Eva C. Thuenemann. 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 Eva C. Thuenemann. The network helps show where Eva C. Thuenemann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eva C. Thuenemann, 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 | 2023 | 14 | |
| 2 | 2022 | 2 | |
| 3 | 2022 | 9 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 26 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 17 | |
| 8 | 2020 | 36 | |
| 9 | 2019 | 20 | |
| 10 | 2018 | 5 | |
| 11 | 2017 | 32 | |
| 12 | 2015 | 23 | |
| 13 | 2015 | 102 | |
| 14 | 2013 | 106 | |
| 15 | 2013 | 53 | |
| 16 | 2012 | 44 | |
| 17 | 2011 | 41 | |
| 18 | pEAQ: versatile expression vectors for easy and quick transient expression of heterologous proteins in plantsbreakdown → | 2009 | 674 |
| 19 | 2008 | 266 | |
| 20 | 2007 | 372 |
About Eva C. Thuenemann
Eva C. Thuenemann is a scholar working on Biotechnology, Plant Science and Ecology, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant Virus Research Studies (11 papers), Transgenic Plants and Applications (11 papers), Bacteriophages and microbial interactions (8 papers), Vector-Borne Animal Diseases (5 papers), Viral gastroenteritis research and epidemiology (2 papers), Insect symbiosis and bacterial influences (2 papers), Marine and coastal plant biology (2 papers) and Protist diversity and phylogeny (2 papers). The work is most often cited by research in Biotechnology (559 citations), Plant Science (869 citations) and Molecular Biology (1.2k citations). Eva C. Thuenemann has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include George P. Lomonossoff, Frank Sainsbury, David C. Baulcombe, Frank Schwach, Attila Molnár, David J. Studholme, Andrew Bassett, Stephan Ossowski, Shantanu Karkare and Detlef Weigel. Their work appears in journals such as Nature, ACS Nano and PLoS ONE.
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.