Alexis Allot
- Molecular Biology
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Infectious Diseases top 10%
- Genetics
- Topics
- Biomedical Text Mining and Ontologies (11 papers)Topic Modeling (4 papers)Bioinformatics and Genomic Networks (4 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Alexis Allot
22 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 521
- Artificial Intelligence 281
- Radiology, Nuclear Medicine and Imaging 148
- Infectious Diseases 124
- Genetics 116
Countries citing papers authored by Alexis Allot
This map shows the geographic impact of Alexis Allot'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 Alexis Allot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexis Allot more than expected).
Fields of papers citing papers by Alexis Allot
This network shows the impact of papers produced by Alexis Allot. 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 Alexis Allot. The network helps show where Alexis Allot may publish in the future.
Co-authorship network of co-authors of Alexis Allot
This figure shows the co-authorship network connecting the top 25 collaborators of Alexis Allot. A scholar is included among the top collaborators of Alexis Allot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexis Allot. Alexis Allot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 45 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 16 | |
| 9 | 22 | |
| 10 | 37 | |
| 11 | 157 | |
| 12 | 9 | |
| 13 | 50 | |
| 14 | 25 | |
| 15 | 185 | |
| 16 | 248 | |
| 17 | 34 | |
| 18 | 5 | |
| 19 | 35 | |
| 20 | 18 |
About Alexis Allot
Alexis Allot is a scholar working on Health Informatics, Neurology and Developmental Neuroscience, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Topic Modeling (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Health Informatics (46 citations), Artificial Intelligence (281 citations) and Molecular Biology (521 citations). Alexis Allot has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Zhiyong Lu, Qingyu Chen, Chih-Hsuan Wei, Zhiyong Lu, Robert Leaman, Kyubum Lee, Yifan Peng, Lon Phan, Ling Luo and Elvira Agrón. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Genetics.
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.