Michael Mӧller
Impact in
-
- Plant Diversity and Evolution
- Plant and animal studies
- Plant Science top 2%
- Plant Parasitism and Resistance
Papers in
-
- Plant and Fungal Species Descriptions 68
- Genomics and Phylogenetic Studies 10
-
- Plant Diversity and Evolution 61
- Plant and animal studies 20
- Co-authors
- Lian‐Ming Gao (27 shared papers)Li D (27 shared papers)Jie Liu (16 shared papers)Quentin Cronk (7 shared papers)Ram Chandra Poudel (5 shared papers)Kanae Nishii (17 shared papers)Anton Weber (4 shared papers)Yi‐Gang Wei (4 shared papers)
- Journals
- Taxon (8 papers)PLoS ONE (7 papers)Botanical Journal of the Linnean Society (6 papers)Phytotaxa (5 papers)Frontiers in Plant Science (4 papers)
- Partner nations
- United KingdomChinaJapan
In The Last Decade
Michael Mӧller
102 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 88
- Ecology, Evolution, Behavior and Systematics 1.7k
- Plant Science 1.2k
- Ecological Modeling 133
- Molecular Biology 2.0k
- Genetics 534
Countries citing papers authored by Michael Mӧller
This map shows the geographic impact of Michael Mӧller'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 Michael Mӧller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Mӧller more than expected).
Fields of papers citing papers by Michael Mӧller
This network shows the impact of papers produced by Michael Mӧller. 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 Michael Mӧller. The network helps show where Michael Mӧller may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Mӧller, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 233 | |
| 2 | 2010 | 154 | |
| 3 | 2011 | 150 | |
| 4 | 1997 | 121 | |
| 5 | 2014 | 102 | |
| 6 | 2011 | 101 | |
| 7 | 2009 | 95 | |
| 8 | 2009 | 81 | |
| 9 | 2017 | 72 | |
| 10 | 2018 | 64 | |
| 11 | 2012 | 56 | |
| 12 | 2021 | 50 | |
| 13 | 2018 | 49 | |
| 14 | 2011 | 49 | |
| 15 | 2007 | 49 | |
| 16 | 2005 | 46 | |
| 17 | 2007 | 46 | |
| 18 | 2004 | 44 | |
| 19 | 2017 | 43 | |
| 20 | 2001 | 37 |
About Michael Mӧller
Michael Mӧller is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Plant Science, Cell Biology and Genetics, having authored 105 papers that have together received 2.7k indexed citations. Recurring topics across this work include Plant and Fungal Species Descriptions (68 papers), Plant Diversity and Evolution (61 papers), Plant Parasitism and Resistance (32 papers), Plant and animal studies (20 papers), Plant Pathogens and Fungal Diseases (12 papers), Genetic diversity and population structure (12 papers), Genomics and Phylogenetic Studies (10 papers) and Plant Molecular Biology Research (9 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.7k citations), Plant Science (1.2k citations), Ecological Modeling (133 citations), Molecular Biology (2.0k citations) and Genetics (534 citations). Michael Mӧller has collaborated with scholars based in United Kingdom, China and Japan. Frequent co-authors include Lian‐Ming Gao, Li D, Jie Liu, Quentin Cronk, Ram Chandra Poudel, Kanae Nishii, Anton Weber, Yi‐Gang Wei, Jim Provan and Alan Forrest. Their work appears in journals such as Taxon, PLoS ONE, Botanical Journal of the Linnean Society, Phytotaxa and Frontiers in Plant Science.
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.