Michaël Uhl
Impact in
- Toxicology top 0.5%
- Forensic Toxicology and Drug Analysis
- Microbiology top 2%
- Bacterial Infections and Vaccines
Papers in
-
- RNA Research and Splicing 10
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 4
-
- Forensic Toxicology and Drug Analysis 9
- Co-authors
- Jeff F. Miller (5 shared papers)Hans Sachs (5 shared papers)Alexander D. Johnson (2 shared papers)Rolf Backofen (11 shared papers)Mathew Miller (1 shared paper)Richard J. Bennett (1 shared paper)Detlef Thieme (2 shared papers)Edith Schneider (1 shared paper)
- Journals
- Forensic Science International (5 papers)Bioinformatics (2 papers)The EMBO Journal (2 papers)GigaScience (2 papers)International Journal of Legal Medicine (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michaël Uhl
38 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 100
- Toxicology 277
- Microbiology 196
- Endocrinology 147
- Infectious Diseases 309
- Molecular Biology 819
Countries citing papers authored by Michaël Uhl
This map shows the geographic impact of Michaël Uhl'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 Michaël Uhl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Uhl more than expected).
Fields of papers citing papers by Michaël Uhl
This network shows the impact of papers produced by Michaël Uhl. 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 Michaël Uhl. The network helps show where Michaël Uhl may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaël Uhl, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 191 | |
| 2 | 2003 | 159 | |
| 3 | 2003 | 151 | |
| 4 | 1994 | 119 | |
| 5 | 1996 | 94 | |
| 6 | 2015 | 92 | |
| 7 | 2004 | 89 | |
| 8 | 1997 | 80 | |
| 9 | 2001 | 75 | |
| 10 | 2007 | 55 | |
| 11 | 2018 | 50 | |
| 12 | 2018 | 47 | |
| 13 | 2017 | 46 | |
| 14 | 1996 | 38 | |
| 15 | 2000 | 38 | |
| 16 | 2017 | 35 | |
| 17 | 2013 | 31 | |
| 18 | 2017 | 26 | |
| 19 | 2004 | 25 | |
| 20 | 1998 | 22 |
About Michaël Uhl
Michaël Uhl is a scholar working on Molecular Biology, Toxicology, Genetics, Microbiology and Infectious Diseases, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), Forensic Toxicology and Drug Analysis (9 papers), RNA and protein synthesis mechanisms (8 papers), Bacterial Genetics and Biotechnology (7 papers), Bacterial Infections and Vaccines (5 papers), RNA modifications and cancer (4 papers), Antifungal resistance and susceptibility (3 papers) and Cannabis and Cannabinoid Research (3 papers). The work is most often cited by research in Toxicology (277 citations), Microbiology (196 citations), Endocrinology (147 citations), Infectious Diseases (309 citations) and Molecular Biology (819 citations). Michaël Uhl has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jeff F. Miller, Hans Sachs, Alexander D. Johnson, Rolf Backofen, Mathew Miller, Richard J. Bennett, Detlef Thieme, Edith Schneider, C. P. Adler and Georg W. Herget. Their work appears in journals such as Forensic Science International, Bioinformatics, The EMBO Journal, GigaScience and International Journal of Legal Medicine.
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.