Aurélien Luciani
Impact in
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Photosynthetic Processes and Mechanisms
- Plant Gene Expression Analysis
- Plant Science top 1%
- Plant Molecular Biology Research
- Plant-Microbe Interactions and Immunity
Papers in
-
- Genomics and Phylogenetic Studies 1
- Machine Learning in Bioinformatics 1
- Genetics, Bioinformatics, and Biomedical Research 1
-
- Advanced Proteomics Techniques and Applications 2
- Co-authors
- ROBERT FINN (2 shared papers)Simon Potter (2 shared papers)Sean R. Eddy (2 shared papers)Young Mi Park (1 shared paper)Rodrigo López (1 shared paper)Erik L. L. Sonnhammer (1 shared paper)Layla Hirsh (1 shared paper)Gustavo A Salazar (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Genetics (1 paper)Bioinformatics Advances (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Aurélien Luciani
4 papers receiving 4.9k citations
Aurélien Luciani's Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 3.0k
- Plant Science 1.6k
- Endocrinology 197
- Horticulture 27
- Ecology 676
Countries citing papers authored by Aurélien Luciani
This map shows the geographic impact of Aurélien Luciani'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 Aurélien Luciani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Luciani more than expected).
Fields of papers citing papers by Aurélien Luciani
This network shows the impact of papers produced by Aurélien Luciani. 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 Aurélien Luciani. The network helps show where Aurélien Luciani may publish in the future.
Co-authors
The 23 scholars most cited alongside Aurélien Luciani, 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 | The Pfam protein families database in 2019 Hit paper breakdown → | 2018 | 3247 |
| 2 | HMMER web server: 2018 update Hit paper breakdown → | 2018 | 1680 |
| 3 | 2016 | 10 | |
| 4 | 2023 | 3 |
About Aurélien Luciani
Aurélien Luciani is a scholar working on Molecular Biology, Spectroscopy, Information Systems and Management, Genetics and Infectious Diseases, having authored 4 papers that have together received 4.9k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Genomics and Phylogenetic Studies (1 paper), Scientific Computing and Data Management (1 paper), Forensic and Genetic Research (1 paper), Machine Learning in Bioinformatics (1 paper), Genetic Associations and Epidemiology (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Molecular Biology (3.0k citations), Plant Science (1.6k citations), Endocrinology (197 citations), Horticulture (27 citations) and Ecology (676 citations). Aurélien Luciani has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include ROBERT FINN, Simon Potter, Sean R. Eddy, Young Mi Park, Rodrigo López, Erik L. L. Sonnhammer, Layla Hirsh, Gustavo A Salazar, Silvio C. E. Tosatto and Lorna Richardson. Their work appears in journals such as Nucleic Acids Research, Genetics and Bioinformatics Advances.
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.