Michael J. Moser
- Molecular Biology top 5%
- Genetics top 5%
- Ecology top 5%
- Epidemiology top 10%
- Infectious Diseases top 10%
- Co-authors
- Trisha N. DavisMatthias MüllerHans‐Georg KochJames R. PrudentMark R. FloryDavid J. MarshallRaymond J. MonnatH. Carlo Maurer
- Topics
- RNA and protein synthesis mechanisms (16 papers)Bacterial Genetics and Biotechnology (14 papers)Bacteriophages and microbial interactions (11 papers)
- Cited by
- Molecular BiologyGeneticsEcology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Michael J. Moser
61 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 1.7k
- Genetics 528
- Ecology 396
- Epidemiology 326
- Infectious Diseases 243
Countries citing papers authored by Michael J. Moser
This map shows the geographic impact of Michael J. Moser'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 J. Moser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Moser more than expected).
Fields of papers citing papers by Michael J. Moser
This network shows the impact of papers produced by Michael J. Moser. 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 J. Moser. The network helps show where Michael J. Moser may publish in the future.
Co-authorship network of co-authors of Michael J. Moser
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Moser. A scholar is included among the top collaborators of Michael J. Moser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael J. Moser. Michael J. Moser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 17 | |
| 5 | 11 | |
| 6 | 17 | |
| 7 | 61 | |
| 8 | 30 | |
| 9 | 24 | |
| 10 | 27 | |
| 11 | 25 | |
| 12 | 58 | |
| 13 | 50 | |
| 14 | 146 | |
| 15 | 131 | |
| 16 | 75 | |
| 17 | 65 | |
| 18 | 200 | |
| 19 | 94 | |
| 20 | 39 |
About Michael J. Moser
Michael J. Moser is a scholar working on General Energy, Genetics and Molecular Biology, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (16 papers), Bacterial Genetics and Biotechnology (14 papers) and Bacteriophages and microbial interactions (11 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Genetics (528 citations) and Ecology (396 citations). Michael J. Moser has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Trisha N. Davis, Matthias Müller, Hans‐Georg Koch, James R. Prudent, Mark R. Flory, David J. Marshall, Raymond J. Monnat, Matthias Müller, H. Carlo Maurer and John R. Geiser. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.