Marco Preußner
Impact in
- Aging top 10%
-
- Circadian rhythm and melatonin
Papers in
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- RNA Research and Splicing 26
- RNA and protein synthesis mechanisms 16
- RNA modifications and cancer 15
- RNA regulation and disease 7
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- Circadian rhythm and melatonin 4
- Co-authors
- Florian Heyd (25 shared papers)Alexander Neumann (8 shared papers)Tom Haltenhof (5 shared papers)Ilka Wilhelmi (3 shared papers)Michaela Müller-McNicoll (2 shared papers)M.C. Wahl (9 shared papers)Bernd Timmermann (4 shared papers)Monika Michel (2 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Molecular Cell (3 papers)Nature Communications (2 papers)The EMBO Journal (2 papers)RNA Biology (2 papers)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Marco Preußner
31 papers receiving 716 citations
Peers
Comparison fields: 5 of 84
- Aging 34
- Endocrine and Autonomic Systems 119
- Molecular Biology 468
- Cancer Research 50
- Cellular and Molecular Neuroscience 51
Countries citing papers authored by Marco Preußner
This map shows the geographic impact of Marco Preußner'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 Marco Preußner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Preußner more than expected).
Fields of papers citing papers by Marco Preußner
This network shows the impact of papers produced by Marco Preußner. 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 Marco Preußner. The network helps show where Marco Preußner may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Preußner, 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 | 2020 | 93 | |
| 2 | 2016 | 83 | |
| 3 | 2017 | 82 | |
| 4 | 2014 | 57 | |
| 5 | 2016 | 51 | |
| 6 | 2015 | 49 | |
| 7 | 2012 | 47 | |
| 8 | 2020 | 31 | |
| 9 | 2023 | 25 | |
| 10 | 2016 | 24 | |
| 11 | 2020 | 21 | |
| 12 | 2014 | 20 | |
| 13 | 2020 | 19 | |
| 14 | 2023 | 19 | |
| 15 | 2016 | 15 | |
| 16 | 2018 | 15 | |
| 17 | 2022 | 11 | |
| 18 | 2022 | 9 | |
| 19 | 2020 | 8 | |
| 20 | 2023 | 8 |
About Marco Preußner
Marco Preußner is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Plant Science, Cancer Research and Immunology, having authored 34 papers that have together received 725 indexed citations. Recurring topics across this work include RNA Research and Splicing (26 papers), RNA and protein synthesis mechanisms (16 papers), RNA modifications and cancer (15 papers), RNA regulation and disease (7 papers), Circadian rhythm and melatonin (4 papers), Light effects on plants (3 papers), NF-κB Signaling Pathways (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Aging (34 citations), Endocrine and Autonomic Systems (119 citations), Molecular Biology (468 citations), Cancer Research (50 citations) and Cellular and Molecular Neuroscience (51 citations). Marco Preußner has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Florian Heyd, Alexander Neumann, Tom Haltenhof, Ilka Wilhelmi, Michaela Müller-McNicoll, M.C. Wahl, Bernd Timmermann, Monika Michel, Florian Finkernagel and Tarik Möröy. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, Nature Communications, The EMBO Journal and RNA 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.