Timm Maier
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- PI3K/AKT/mTOR signaling in cancer
- RNA modifications and cancer
Papers in
-
- RNA and protein synthesis mechanisms 21
- Protein Structure and Dynamics 16
- Protein Kinase Regulation and GTPase Signaling 9
- PI3K/AKT/mTOR signaling in cancer 9
- Pharmacology 15
- Microbial Natural Products and Biosynthesis 13
- Co-authors
- Nenad Ban (16 shared papers)Marc Leibundgut (4 shared papers)Roman Peter Jakob (42 shared papers)Simon Jenni (3 shared papers)Michael N. Hall (8 shared papers)Stefan Imseng (9 shared papers)Sebastian Hiller (14 shared papers)Daniel Boehringer (5 shared papers)
- Journals
- Nature (7 papers)eLife (5 papers)Science Advances (5 papers)Nature Communications (5 papers)Science (4 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Timm Maier
100 papers receiving 6.4k citations
Timm Maier's Hit Papers
Peers
Comparison fields: 5 of 137
- Endocrinology 482
- Molecular Biology 4.4k
- Pharmacology 916
- Molecular Medicine 273
- Biotechnology 388
Countries citing papers authored by Timm Maier
This map shows the geographic impact of Timm Maier'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 Timm Maier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timm Maier more than expected).
Fields of papers citing papers by Timm Maier
This network shows the impact of papers produced by Timm Maier. 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 Timm Maier. The network helps show where Timm Maier may publish in the future.
Co-authors
The 25 scholars most cited alongside Timm Maier, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 426 | |
| 2 | 2006 | 330 | |
| 3 | 2004 | 320 | |
| 4 | mTOR substrate phosphorylation in growth control Hit paper breakdown → | 2022 | 315 |
| 5 | 2009 | 283 | |
| 6 | 2015 | 279 | |
| 7 | 2015 | 199 | |
| 8 | 2016 | 190 | |
| 9 | 2021 | 187 | |
| 10 | Structural basis of NINJ1-mediated plasma membrane rupture in cell death Hit paper breakdown → | 2023 | 187 |
| 11 | 2018 | 171 | |
| 12 | 2018 | 160 | |
| 13 | 2008 | 151 | |
| 14 | 2008 | 128 | |
| 15 | 2006 | 124 | |
| 16 | 2013 | 117 | |
| 17 | 2010 | 108 | |
| 18 | 2015 | 106 | |
| 19 | 2017 | 106 | |
| 20 | 2003 | 104 |
About Timm Maier
Timm Maier is a scholar working on Molecular Biology, Pharmacology, Endocrinology, Immunology and Cell Biology, having authored 103 papers that have together received 6.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (21 papers), Enzyme Structure and Function (18 papers), Protein Structure and Dynamics (16 papers), Microbial Natural Products and Biosynthesis (13 papers), Bacterial Genetics and Biotechnology (12 papers), Escherichia coli research studies (9 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and PI3K/AKT/mTOR signaling in cancer (9 papers). The work is most often cited by research in Endocrinology (482 citations), Molecular Biology (4.4k citations), Pharmacology (916 citations), Molecular Medicine (273 citations) and Biotechnology (388 citations). Timm Maier has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Nenad Ban, Marc Leibundgut, Roman Peter Jakob, Simon Jenni, Michael N. Hall, Stefan Imseng, Sebastian Hiller, Daniel Boehringer, Dominik A. Herbst and Elke Deuerling. Their work appears in journals such as Nature, eLife, Science Advances, Nature Communications and Science.
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.