Michael Graf
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- RNA and protein synthesis mechanisms 14
- Enzyme Catalysis and Immobilization 4
- RNA modifications and cancer 4
- Biochemical and Structural Characterization 3
-
- Enzyme-mediated dye degradation 6
- Co-authors
- Daniel N. Wilson (15 shared papers)C.A. Innis (5 shared papers)Stefan Arenz (7 shared papers)Fabian Nguyen (5 shared papers)A. Carolin Seefeldt (3 shared papers)Paul Huter (5 shared papers)Gilles Guichard (2 shared papers)Mario Mardirossian (2 shared papers)
- Journals
- Nature Communications (3 papers)Nucleic Acids Research (3 papers)Nature Structural & Molecular Biology (2 papers)Biochemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Michael Graf
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Microbiology 479
- Molecular Medicine 110
- Molecular Biology 999
- Structural Biology 14
- Genetics 170
Countries citing papers authored by Michael Graf
This map shows the geographic impact of Michael Graf'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 Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Graf more than expected).
Fields of papers citing papers by Michael Graf
This network shows the impact of papers produced by Michael Graf. 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 Graf. The network helps show where Michael Graf may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Graf, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 151 | |
| 2 | 2015 | 145 | |
| 3 | 2017 | 133 | |
| 4 | 2017 | 114 | |
| 5 | 2016 | 96 | |
| 6 | 2016 | 88 | |
| 7 | 2019 | 85 | |
| 8 | 2018 | 71 | |
| 9 | 2021 | 58 | |
| 10 | 2012 | 44 | |
| 11 | 2018 | 44 | |
| 12 | 2016 | 42 | |
| 13 | 2016 | 40 | |
| 14 | 2013 | 28 | |
| 15 | 2019 | 21 | |
| 16 | 2016 | 15 | |
| 17 | 2015 | 14 | |
| 18 | 2016 | 11 | |
| 19 | 2014 | 10 | |
| 20 | 2016 | 10 |
About Michael Graf
Michael Graf is a scholar working on Molecular Biology, Plant Science, Microbiology, Genetics and Ecology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (14 papers), Enzyme-mediated dye degradation (6 papers), Antimicrobial Peptides and Activities (5 papers), Bacterial Genetics and Biotechnology (4 papers), Enzyme Catalysis and Immobilization (4 papers), RNA modifications and cancer (4 papers), Bacteriophages and microbial interactions (3 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Microbiology (479 citations), Molecular Medicine (110 citations), Molecular Biology (999 citations), Structural Biology (14 citations) and Genetics (170 citations). Michael Graf has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Daniel N. Wilson, C.A. Innis, Stefan Arenz, Fabian Nguyen, A. Carolin Seefeldt, Paul Huter, Gilles Guichard, Mario Mardirossian, Marco Scocchi and Roland Beckmann. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Nature Structural & Molecular Biology, Biochemistry 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.