E. M. Möller
- Plant Science top 2%
- Cell Biology top 1%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 5%
- Pharmacology top 10%
- Co-authors
- H. H. GeigerHeinrich SandermannG. BahnwegJ. ChełkowskiArthur W. A. M. de CockHermann H. PrellWalter SchmidtThomas Presterl
- Topics
- Plant Pathogens and Fungal Diseases (10 papers)Plant Disease Resistance and Genetics (5 papers)Mycotoxins in Agriculture and Food (4 papers)
- Partner nations
- GermanyFinlandNetherlands
In The Last Decade
E. M. Möller
14 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Plant Science 1.0k
- Cell Biology 789
- Molecular Biology 414
- Ecology, Evolution, Behavior and Systematics 183
- Pharmacology 137
Countries citing papers authored by E. M. Möller
This map shows the geographic impact of E. M. Möller'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 E. M. Möller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. M. Möller more than expected).
Fields of papers citing papers by E. M. Möller
This network shows the impact of papers produced by E. M. Möller. 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 E. M. Möller. The network helps show where E. M. Möller may publish in the future.
Co-authorship network of co-authors of E. M. Möller
This figure shows the co-authorship network connecting the top 25 collaborators of E. M. Möller. A scholar is included among the top collaborators of E. M. Möller 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 E. M. Möller. E. M. Möller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 25 | |
| 3 | 9 | |
| 4 | 7 | |
| 5 | 57 | |
| 6 | 44 | |
| 7 | 30 | |
| 8 | Identification of Gibberella fujikuroi isolates by RAPD-PCR analysis | 1 |
| 9 | 40 | |
| 10 | 5 | |
| 11 | Molecular differentiation and diagnosis of the cereal pathogens Fusarium culmorum and F. graminearum. | 21 |
| 12 | 23 | |
| 13 | A simple and efficient protocol for isolation of high molecular weight DNA from filamentous fungi, fruit bodies, and infected plant tissuesbreakdown → | 1095 |
| 14 | [Identification of HLA class II polymorphism with molecular biology techniques]. | 1 |
About E. M. Möller
E. M. Möller is a scholar working on Cell Biology, Plant Science and Pharmacology, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (10 papers), Plant Disease Resistance and Genetics (5 papers) and Mycotoxins in Agriculture and Food (4 papers). The work is most often cited by research in Cell Biology (789 citations), Plant Science (1.0k citations) and Microbiology (8 citations). E. M. Möller has collaborated with scholars based in Germany, Finland and Netherlands. Frequent co-authors include H. H. Geiger, Heinrich Sandermann, G. Bahnweg, J. Chełkowski, Arthur W. A. M. de Cock, Hermann H. Prell, Walter Schmidt, Thomas Presterl, Karin Ernst and Angela Schilling. Their work appears in journals such as Nucleic Acids Research, Analytical Biochemistry and Theoretical and Applied Genetics.
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.