Alexander Platzer
Impact in
- Plant Science top 10%
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
-
- Genomics and Phylogenetic Studies
- Plant Reproductive Biology
Papers in
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- Bioinformatics and Genomic Networks 3
- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 2
- Photosynthetic Processes and Mechanisms 2
- Metabolomics and Mass Spectrometry Studies 2
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- Rheumatoid Arthritis Research and Therapies 5
- Systemic Lupus Erythematosus Research 3
- Co-authors
- Viktoria Nizhynska (3 shared papers)Magnus Nordborg (4 shared papers)Quan Long (3 shared papers)Thomas Nußbaumer (3 shared papers)Sebastian Egger (2 shared papers)Raimund Schatz (2 shared papers)Thomas Rattei (2 shared papers)Marc-André Jehl (1 shared paper)
In The Last Decade
Alexander Platzer
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 142
- Plant Science 352
- Molecular Biology 525
- Genetics 184
- Rheumatology 98
- Aging 10
Countries citing papers authored by Alexander Platzer
This map shows the geographic impact of Alexander Platzer'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 Alexander Platzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Platzer more than expected).
Fields of papers citing papers by Alexander Platzer
This network shows the impact of papers produced by Alexander Platzer. 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 Alexander Platzer. The network helps show where Alexander Platzer may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Platzer, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 272 | |
| 2 | 2015 | 128 | |
| 3 | 2009 | 98 | |
| 4 | 2011 | 82 | |
| 5 | 2013 | 74 | |
| 6 | 2016 | 68 | |
| 7 | 2019 | 58 | |
| 8 | 2007 | 57 | |
| 9 | 2018 | 55 | |
| 10 | 2017 | 39 | |
| 11 | 2011 | 32 | |
| 12 | 2012 | 29 | |
| 13 | 2018 | 25 | |
| 14 | 2019 | 20 | |
| 15 | 2022 | 16 | |
| 16 | 2019 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2021 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2023 | 4 |
About Alexander Platzer
Alexander Platzer is a scholar working on Molecular Biology, Rheumatology, Plant Science, Genetics and Immunology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (5 papers), Bioinformatics and Genomic Networks (3 papers), Systemic Lupus Erythematosus Research (3 papers), Wheat and Barley Genetics and Pathology (2 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Plant Science (352 citations), Molecular Biology (525 citations), Genetics (184 citations), Rheumatology (98 citations) and Aging (10 citations). Alexander Platzer has collaborated with scholars based in Austria, Germany and Japan. Frequent co-authors include Viktoria Nizhynska, Magnus Nordborg, Quan Long, Thomas Nußbaumer, Sebastian Egger, Raimund Schatz, Thomas Rattei, Marc-André Jehl, Roland Arnold and Ashley Farlow. Their work appears in journals such as PLoS ONE, Toxins, Nature Genetics, Clinical Oral Investigations and Annals of the Rheumatic Diseases.
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.