André Leier
- Molecular Biology top 2%
- Machine Learning in Bioinformatics 24
- Gene Regulatory Network Analysis 17
- Genomics and Phylogenetic Studies 13
- RNA and protein synthesis mechanisms 12
- vaccines and immunoinformatics approaches 7
- Bioinformatics and Genomic Networks 5
- Biochemical and Structural Characterization 5
- Microbiology top 2%
- Endocrinology top 5%
- Modeling and Simulation top 5%
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- Evolution and Genetic Dynamics 6
- Co-authors
- Tatiana T. Marquez‐LagoJiangning SongFuyi LiGeoffrey I. WebbKuo‐Chen ChouTatsuya AkutsuA. Ian SmithRoger J. Daly
- Journals
- Briefings in Bioinformatics (14 papers)Bioinformatics (10 papers)The Journal of Chemical Physics (3 papers)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
André Leier
63 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 3.2k
- Microbiology 282
- Computational Theory and Mathematics 405
- Endocrinology 104
- Modeling and Simulation 60
Countries citing papers authored by André Leier
This map shows the geographic impact of André Leier'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 André Leier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Leier more than expected).
Fields of papers citing papers by André Leier
This network shows the impact of papers produced by André Leier. 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 André Leier. The network helps show where André Leier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside André Leier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 0 | |
| 5 | 2020 | 74 | |
| 6 | 2020 | 35 | |
| 7 | 2020 | 60 | |
| 8 | 2020 | 9 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 22 | |
| 11 | 2019 | 33 | |
| 12 | 2017 | 69 | |
| 13 | 2017 | 17 | |
| 14 | 2015 | 9 | |
| 15 | Stochastic simulation for spatial modelling of dynamic process in a living cell | 2011 | 1 |
| 16 | 2011 | 23 | |
| 17 | 2011 | 9 | |
| 18 | 2008 | 37 | |
| 19 | 2007 | 31 | |
| 20 | 2006 | 2 |
About André Leier
André Leier is a scholar working on Molecular Biology, Biophysics, Microbiology, Modeling and Simulation and Genetics, having authored 66 papers that have together received 3.7k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (24 papers), Gene Regulatory Network Analysis (17 papers), Genomics and Phylogenetic Studies (13 papers), RNA and protein synthesis mechanisms (12 papers), vaccines and immunoinformatics approaches (7 papers), Evolution and Genetic Dynamics (6 papers), Bioinformatics and Genomic Networks (5 papers) and Biochemical and Structural Characterization (5 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Microbiology (282 citations), Computational Theory and Mathematics (405 citations), Endocrinology (104 citations) and Modeling and Simulation (60 citations). André Leier has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Tatiana T. Marquez‐Lago, Jiangning Song, Fuyi Li, Geoffrey I. Webb, Kuo‐Chen Chou, Tatsuya Akutsu, A. Ian Smith, Roger J. Daly, Kevin Burrage and Zhen Chen. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, The Journal of Chemical Physics, Scientific Reports and BMC Systems 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.