Swen Schellmann
Impact in
- Plant Science top 2%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant-Microbe Interactions and Immunity
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
-
- Cellular transport and secretion 7
-
- Plant Molecular Biology Research 8
- Polysaccharides and Plant Cell Walls 3
- Plant-Microbe Interactions and Immunity 2
- Co-authors
- Martin Hülskamp (12 shared papers)Gerd Jürgens (2 shared papers)Arp Schnittger (2 shared papers)Anke Beermann (1 shared paper)Viktor Kirik (1 shared paper)Tomoki Wada (1 shared paper)K. Okada (1 shared paper)Mojgan Shahriari (6 shared papers)
- Journals
- Current Opinion in Plant Biology (2 papers)BMC Plant Biology (2 papers)Plant Molecular Biology (2 papers)Molecular Systems Biology (1 paper)Cellular Microbiology (1 paper)
- Partner nations
- GermanyUnited KingdomAustralia
In The Last Decade
Swen Schellmann
20 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 67
- Plant Science 1.2k
- Cell Biology 350
- Molecular Biology 1.1k
- Physiology 57
- Biochemistry 52
Countries citing papers authored by Swen Schellmann
This map shows the geographic impact of Swen Schellmann'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 Swen Schellmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swen Schellmann more than expected).
Fields of papers citing papers by Swen Schellmann
This network shows the impact of papers produced by Swen Schellmann. 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 Swen Schellmann. The network helps show where Swen Schellmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Swen Schellmann, 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 | 2002 | 470 | |
| 2 | 2006 | 156 | |
| 3 | 2005 | 135 | |
| 4 | 2013 | 107 | |
| 5 | 2012 | 106 | |
| 6 | 2013 | 104 | |
| 7 | 2008 | 85 | |
| 8 | 2003 | 72 | |
| 9 | 2012 | 56 | |
| 10 | 2010 | 56 | |
| 11 | 2007 | 48 | |
| 12 | 2022 | 39 | |
| 13 | 2011 | 36 | |
| 14 | 2009 | 36 | |
| 15 | 2012 | 36 | |
| 16 | 2017 | 30 | |
| 17 | 2019 | 29 | |
| 18 | 2014 | 28 | |
| 19 | 2010 | 9 | |
| 20 | 1999 | 1 |
About Swen Schellmann
Swen Schellmann is a scholar working on Cell Biology, Plant Science, Physiology, Molecular Biology and Biochemistry, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Plant Reproductive Biology (8 papers), Plant Molecular Biology Research (8 papers), Cellular transport and secretion (7 papers), Photosynthetic Processes and Mechanisms (5 papers), Calcium signaling and nucleotide metabolism (3 papers), Polysaccharides and Plant Cell Walls (3 papers), Autophagy in Disease and Therapy (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Plant Science (1.2k citations), Cell Biology (350 citations), Molecular Biology (1.1k citations), Physiology (57 citations) and Biochemistry (52 citations). Swen Schellmann has collaborated with scholars based in Germany, United Kingdom and Australia. Frequent co-authors include Martin Hülskamp, Gerd Jürgens, Arp Schnittger, Anke Beermann, Viktor Kirik, Tomoki Wada, K. Okada, Mojgan Shahriari, Peter Pimpl and Aneta D. Sabovljević. Their work appears in journals such as Current Opinion in Plant Biology, BMC Plant Biology, Plant Molecular Biology, Molecular Systems Biology and Cellular 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.