Michael Faller
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Molecular Medicine top 10%
Papers in
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- MicroRNA in disease regulation 5
-
- RNA modifications and cancer 6
- RNA Interference and Gene Delivery 3
- Sphingolipid Metabolism and Signaling 3
- RNA Research and Splicing 3
- Co-authors
- Michael Niederweis (1 shared paper)Georg E. Schulz (1 shared paper)Feng Guo (5 shared papers)Sheng Yin (2 shared papers)Michio Matsunaga (2 shared papers)Joseph A. Loo (2 shared papers)Fang‐Qing Guo (1 shared paper)Duilio Cascio (2 shared papers)
- Journals
- ACS Medicinal Chemistry Letters (2 papers)Protein Science (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)ACS Catalysis (1 paper)Molecular Immunology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Michael Faller
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 265
- Molecular Medicine 60
- Molecular Biology 787
- Infectious Diseases 120
- Genetics 142
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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 348 | |
| 2 | 2006 | 244 | |
| 3 | 2008 | 116 | |
| 4 | 2008 | 95 | |
| 5 | 2021 | 86 | |
| 6 | 2019 | 81 | |
| 7 | 2010 | 52 | |
| 8 | 2010 | 52 | |
| 9 | 2022 | 36 | |
| 10 | 2022 | 26 | |
| 11 | 2020 | 25 | |
| 12 | 1984 | 19 | |
| 13 | 2014 | 17 | |
| 14 | 2012 | 13 | |
| 15 | 2021 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2014 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2012 | 8 |
About Michael Faller
Michael Faller is a scholar working on Cancer Research, Molecular Biology, Immunology, Materials Chemistry and Mechanical Engineering, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), MicroRNA in disease regulation (5 papers), Microstructure and mechanical properties (4 papers), Aluminum Alloys Composites Properties (4 papers), RNA Interference and Gene Delivery (3 papers), Sphingolipid Metabolism and Signaling (3 papers), RNA Research and Splicing (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Cancer Research (265 citations), Molecular Medicine (60 citations), Molecular Biology (787 citations), Infectious Diseases (120 citations) and Genetics (142 citations). Michael Faller has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Michael Niederweis, Georg E. Schulz, Feng Guo, Sheng Yin, Michio Matsunaga, Joseph A. Loo, Fang‐Qing Guo, Duilio Cascio, Linda Miallau and David S Eisenberg. Their work appears in journals such as ACS Medicinal Chemistry Letters, Protein Science, Bioorganic & Medicinal Chemistry Letters, ACS Catalysis and Molecular Immunology.
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.