Katja Graumann
Impact in
- Molecular Biology top 10%
- Nuclear Structure and Function
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Plant Reproductive Biology
- Photosynthetic Processes and Mechanisms
- Plant Science top 5%
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
Papers in
-
- Nuclear Structure and Function 26
- RNA Research and Splicing 17
- Genomics and Chromatin Dynamics 13
- Plant Reproductive Biology 8
- Photosynthetic Processes and Mechanisms 3
- Ubiquitin and proteasome pathways 2
-
- Plant Molecular Biology Research 3
- Co-authors
- David Evans (20 shared papers)Iris Meier (6 shared papers)Xiao Zhou (4 shared papers)John Runions (4 shared papers)Christophe Tatout (8 shared papers)Aline V. Probst (3 shared papers)Emmanuel Vanrobays (4 shared papers)Mónica Pradillo (2 shared papers)
- Journals
- Journal of Experimental Botany (7 papers)Nucleus (7 papers)Journal of Cell Science (3 papers)Frontiers in Plant Science (2 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Katja Graumann
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 52
- Molecular Biology 966
- Plant Science 469
- Cell Biology 183
- Biophysics 21
- Biochemistry 10
Countries citing papers authored by Katja Graumann
This map shows the geographic impact of Katja Graumann'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 Katja Graumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Graumann more than expected).
Fields of papers citing papers by Katja Graumann
This network shows the impact of papers produced by Katja Graumann. 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 Katja Graumann. The network helps show where Katja Graumann may publish in the future.
Co-authors
The 25 scholars most cited alongside Katja Graumann, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 135 | |
| 2 | 2012 | 130 | |
| 3 | 2014 | 82 | |
| 4 | 2014 | 75 | |
| 5 | 2014 | 65 | |
| 6 | 2014 | 59 | |
| 7 | 2016 | 44 | |
| 8 | 2010 | 41 | |
| 9 | 2015 | 36 | |
| 10 | 2016 | 36 | |
| 11 | 2019 | 32 | |
| 12 | 2007 | 31 | |
| 13 | 2019 | 29 | |
| 14 | 2011 | 29 | |
| 15 | 2014 | 28 | |
| 16 | 2015 | 28 | |
| 17 | 2019 | 25 | |
| 18 | 2017 | 24 | |
| 19 | 2011 | 21 | |
| 20 | 2013 | 19 |
About Katja Graumann
Katja Graumann is a scholar working on Molecular Biology, Plant Science, Cell Biology, Artificial Intelligence and Genetics, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nuclear Structure and Function (26 papers), RNA Research and Splicing (17 papers), Genomics and Chromatin Dynamics (13 papers), Plant Reproductive Biology (8 papers), Microtubule and mitosis dynamics (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Plant Molecular Biology Research (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Molecular Biology (966 citations), Plant Science (469 citations), Cell Biology (183 citations), Biophysics (21 citations) and Biochemistry (10 citations). Katja Graumann has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include David Evans, Iris Meier, Xiao Zhou, John Runions, Christophe Tatout, Aline V. Probst, Emmanuel Vanrobays, Mónica Pradillo, Joseph F. McKenna and Axel Poulet. Their work appears in journals such as Journal of Experimental Botany, Nucleus, Journal of Cell Science, Frontiers in Plant Science and The Journal of Cell Biology.
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.