Michael Faller
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Molecular Medicine top 10%
Papers in
-
- RNA modifications and cancer 6
- RNA Research and Splicing 3
- RNA Interference and Gene Delivery 2
- Enzyme function and inhibition 2
-
- Microstructure and mechanical properties 4
- Co-authors
- Georg E. Schulz (1 shared paper)Michael Niederweis (1 shared paper)Feng Guo (5 shared papers)Michio Matsunaga (2 shared papers)Sheng Yin (2 shared papers)Joseph A. Loo (2 shared papers)Fang‐Qing Guo (1 shared paper)Duilio Cascio (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)Protein Science (2 papers)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (1 paper)Molecular Immunology (1 paper)Journal of Alloys and Compounds (1 paper)
- Partner nations
- United StatesSwitzerlandAustria
In The Last Decade
Michael Faller
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Cancer Research 263
- Molecular Medicine 60
- Molecular Biology 738
- Infectious Diseases 118
- Genetics 144
Countries citing papers authored by Michael Faller
This map shows the geographic impact of Michael Faller'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 Faller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Faller more than expected).
Fields of papers citing papers by Michael Faller
This network shows the impact of papers produced by Michael Faller. 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 Faller. The network helps show where Michael Faller may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Faller, 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 | 2004 | 341 | |
| 2 | 2006 | 250 | |
| 3 | 2008 | 111 | |
| 4 | 2008 | 95 | |
| 5 | 2021 | 83 | |
| 6 | 2019 | 77 | |
| 7 | 2010 | 53 | |
| 8 | 2010 | 52 | |
| 9 | 2022 | 26 | |
| 10 | 1984 | 19 | |
| 11 | 2014 | 16 | |
| 12 | 2012 | 13 | |
| 13 | 2014 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2012 | 8 | |
| 16 | 2020 | 4 | |
| 17 | 2012 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 1992 | 1 | |
| 20 | 1993 | 0 |
About Michael Faller
Michael Faller is a scholar working on Molecular Biology, Materials Chemistry, Mechanical Engineering, Cancer Research and Organic Chemistry, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), MicroRNA in disease regulation (5 papers), Aluminum Alloys Composites Properties (4 papers), Microstructure and mechanical properties (4 papers), RNA Research and Splicing (3 papers), RNA Interference and Gene Delivery (2 papers), Insect and Pesticide Research (2 papers) and Enzyme function and inhibition (2 papers). The work is most often cited by research in Cancer Research (263 citations), Molecular Medicine (60 citations), Molecular Biology (738 citations), Infectious Diseases (118 citations) and Genetics (144 citations). Michael Faller has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include Georg E. Schulz, Michael Niederweis, Feng Guo, Michio Matsunaga, Sheng Yin, Joseph A. Loo, Fang‐Qing Guo, Duilio Cascio, L. Miallau and Mark A. Arbing. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Protein Science, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, Molecular Immunology and Journal of Alloys and Compounds.
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.