Amelie Stein
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Machine Learning in Bioinformatics
- Ubiquitin and proteasome pathways
-
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 17
- RNA and protein synthesis mechanisms 11
- Bioinformatics and Genomic Networks 6
- Ubiquitin and proteasome pathways 6
- Heat shock proteins research 5
- Cell Biology 11
- Endoplasmic Reticulum Stress and Disease 8
- Co-authors
- Patrick Aloy (12 shared papers)Kresten Lindorff‐Larsen (28 shared papers)Tanja Kortemme (3 shared papers)Rasmus Hartmann‐Petersen (23 shared papers)Arnaud Céol (2 shared papers)Roberto Mosca (2 shared papers)Matteo Cagiada (9 shared papers)Sofie V. Nielsen (11 shared papers)
- Journals
- Nucleic Acids Research (6 papers)PLoS Genetics (5 papers)Nature Communications (4 papers)Structure (3 papers)Genome biology (2 papers)
- Partner nations
- DenmarkUnited StatesSpain
In The Last Decade
Amelie Stein
47 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 2.1k
- Computational Theory and Mathematics 231
- Cell Biology 223
- Genetics 270
- Aging 14
Countries citing papers authored by Amelie Stein
This map shows the geographic impact of Amelie Stein'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 Amelie Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amelie Stein more than expected).
Fields of papers citing papers by Amelie Stein
This network shows the impact of papers produced by Amelie Stein. 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 Amelie Stein. The network helps show where Amelie Stein may publish in the future.
Co-authors
The 25 scholars most cited alongside Amelie Stein, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 185 | |
| 2 | 2015 | 184 | |
| 3 | 2013 | 142 | |
| 4 | 2008 | 134 | |
| 5 | 2004 | 132 | |
| 6 | 2010 | 118 | |
| 7 | 2010 | 109 | |
| 8 | 2019 | 103 | |
| 9 | 2009 | 86 | |
| 10 | 2011 | 81 | |
| 11 | 2023 | 70 | |
| 12 | 2021 | 67 | |
| 13 | 2022 | 66 | |
| 14 | 2017 | 65 | |
| 15 | 2012 | 64 | |
| 16 | 2008 | 56 | |
| 17 | 2010 | 51 | |
| 18 | 2010 | 49 | |
| 19 | 2023 | 42 | |
| 20 | 2011 | 40 |
About Amelie Stein
Amelie Stein is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Pathology and Forensic Medicine and Genetics, having authored 49 papers that have together received 2.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), RNA and protein synthesis mechanisms (11 papers), Enzyme Structure and Function (11 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Bioinformatics and Genomic Networks (6 papers), Ubiquitin and proteasome pathways (6 papers), Genetic factors in colorectal cancer (5 papers) and Heat shock proteins research (5 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Computational Theory and Mathematics (231 citations), Cell Biology (223 citations), Genetics (270 citations) and Aging (14 citations). Amelie Stein has collaborated with scholars based in Denmark, United States and Spain. Frequent co-authors include Patrick Aloy, Kresten Lindorff‐Larsen, Tanja Kortemme, Rasmus Hartmann‐Petersen, Arnaud Céol, Roberto Mosca, Matteo Cagiada, Sofie V. Nielsen, Roger Olivella and Douglas M. Fowler. Their work appears in journals such as Nucleic Acids Research, PLoS Genetics, Nature Communications, Structure and Genome biology.
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.