Daniel M. Passon
Impact in
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Peroxisome Proliferator-Activated Receptors
- RNA regulation and disease
Papers in
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- RNA Research and Splicing 7
- RNA modifications and cancer 5
- RNA and protein synthesis mechanisms 5
- Peroxisome Proliferator-Activated Receptors 3
- Protein Structure and Dynamics 2
- Signaling Pathways in Disease 1
- Receptor Mechanisms and Signaling 1
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- Enzyme Structure and Function 3
- Co-authors
- Charles S. Bond (6 shared papers)Mihwa Lee (5 shared papers)Archa H. Fox (5 shared papers)Oliver Rackham (1 shared paper)Agata Sadowska (1 shared paper)Matthias Wilmanns (4 shared papers)Aleksandra Filipovska (1 shared paper)Will A. Stanley (1 shared paper)
- Journals
- Pest Management Science (2 papers)IUCrJ (1 paper)Nanoscale (1 paper)Traffic (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Daniel M. Passon
12 papers receiving 382 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 313
- Structural Biology 6
- Cancer Research 42
- Physiology 7
- Pollution 15
Countries citing papers authored by Daniel M. Passon
This map shows the geographic impact of Daniel M. Passon'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 Daniel M. Passon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Passon more than expected).
Fields of papers citing papers by Daniel M. Passon
This network shows the impact of papers produced by Daniel M. Passon. 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 Daniel M. Passon. The network helps show where Daniel M. Passon may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel M. Passon, 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 | 2012 | 132 | |
| 2 | 2015 | 45 | |
| 3 | 2014 | 36 | |
| 4 | 2020 | 36 | |
| 5 | 2015 | 25 | |
| 6 | 2021 | 24 | |
| 7 | 2015 | 21 | |
| 8 | 2011 | 19 | |
| 9 | 2016 | 19 | |
| 10 | 2012 | 14 | |
| 11 | 2011 | 13 | |
| 12 | 2024 | 3 | |
| 13 | Dimerization and RNA binding of paraspeckle proteins | 2012 | 0 |
About Daniel M. Passon
Daniel M. Passon is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Plant Science and Biomedical Engineering, having authored 13 papers that have together received 387 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (2 papers), Signaling Pathways in Disease (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Molecular Biology (313 citations), Structural Biology (6 citations), Cancer Research (42 citations), Physiology (7 citations) and Pollution (15 citations). Daniel M. Passon has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Charles S. Bond, Mihwa Lee, Archa H. Fox, Oliver Rackham, Agata Sadowska, Matthias Wilmanns, Aleksandra Filipovska, Will A. Stanley, Mohanraj Gopalswamy and Leonidas Emmanouilidis. Their work appears in journals such as Pest Management Science, IUCrJ, Nanoscale, Traffic and Proceedings of the National Academy of Sciences.
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.