Daniela Büttner
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Plant Science top 0.5%
- Plant Pathogenic Bacteria Studies
- Plant-Microbe Interactions and Immunity
- Legume Nitrogen Fixing Symbiosis
Papers in
-
- Plant Pathogenic Bacteria Studies 44
-
- Escherichia coli research studies 2
- Co-authors
- Ulla Bonas (17 shared papers)Sheng Yang He (1 shared paper)Erich Kombrink (2 shared papers)Jürgen Ehlting (2 shared papers)Imre E. Somssich (1 shared paper)Qing Wang (1 shared paper)Carl J. Douglas (1 shared paper)Laurent D. Noël (5 shared papers)
- Journals
- Journal of Bacteriology (5 papers)Molecular Microbiology (4 papers)New Phytologist (4 papers)Molecular Plant-Microbe Interactions (3 papers)Applied and Environmental Microbiology (2 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Daniela Büttner
45 papers receiving 3.7k citations
Daniela Büttner's Hit Papers
Peers
Comparison fields: 5 of 70
- Endocrinology 312
- Plant Science 2.7k
- Genetics 348
- Molecular Biology 649
- Biotechnology 68
Countries citing papers authored by Daniela Büttner
This map shows the geographic impact of Daniela Büttner'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 Daniela Büttner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Büttner more than expected).
Fields of papers citing papers by Daniela Büttner
This network shows the impact of papers produced by Daniela Büttner. 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 Daniela Büttner. The network helps show where Daniela Büttner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Büttner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Regulation and secretion of Xanthomonas virulence factors Hit paper breakdown → | 2009 | 431 |
| 2 | 1999 | 385 | |
| 3 | 2012 | 339 | |
| 4 | 2005 | 309 | |
| 5 | 2009 | 286 | |
| 6 | 2016 | 225 | |
| 7 | 2002 | 180 | |
| 8 | 2002 | 138 | |
| 9 | 2010 | 117 | |
| 10 | 2003 | 112 | |
| 11 | 2000 | 107 | |
| 12 | 2006 | 97 | |
| 13 | 2010 | 95 | |
| 14 | 2015 | 86 | |
| 15 | 2003 | 79 | |
| 16 | 2012 | 78 | |
| 17 | 2004 | 77 | |
| 18 | 2005 | 62 | |
| 19 | 2008 | 61 | |
| 20 | 2013 | 60 |
About Daniela Büttner
Daniela Büttner is a scholar working on Plant Science, Endocrinology, Molecular Biology, Genetics and Nuclear Energy and Engineering, having authored 47 papers that have together received 3.8k indexed citations. Recurring topics across this work include Plant Pathogenic Bacteria Studies (44 papers), Escherichia coli research studies (2 papers), Plant Gene Expression Analysis (2 papers) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Endocrinology (312 citations), Plant Science (2.7k citations), Genetics (348 citations), Molecular Biology (649 citations) and Biotechnology (68 citations). Daniela Büttner has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Ulla Bonas, Sheng Yang He, Erich Kombrink, Jürgen Ehlting, Imre E. Somssich, Qing Wang, Carl J. Douglas, Laurent D. Noël, Robert Szczesny and Steve Schulz. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, New Phytologist, Molecular Plant-Microbe Interactions and Applied and Environmental Microbiology.
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.