Laila Poisson
- Genetics top 0.5%
- Glioma Diagnosis and Treatment 20
- Cancer Research top 2%
- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 7
- Health Informatics top 2%
-
- Radiomics and Machine Learning in Medical Imaging 14
- Biophysics top 1%
-
- COVID-19 Clinical Research Studies 10
-
- COVID-19 and healthcare impacts 6
-
- Molecular Biology Techniques and Applications 6
- Metabolomics and Mass Spectrometry Studies 5
Laila Poisson
106 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Genetics 1.0k
- Cancer Research 881
- Health Informatics 55
- Radiology, Nuclear Medicine and Imaging 917
- Biophysics 199
Countries citing papers authored by Laila Poisson
This map shows the geographic impact of Laila Poisson'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 Laila Poisson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laila Poisson more than expected).
Fields of papers citing papers by Laila Poisson
This network shows the impact of papers produced by Laila Poisson. 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 Laila Poisson. The network helps show where Laila Poisson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laila Poisson, 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 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 42 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 50 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 11 | |
| 16 | 2019 | 8 | |
| 17 | 2018 | 18 | |
| 18 | 2018 | 9 | |
| 19 | 2017 | 283 | |
| 20 | 2003 | 101 |
About Laila Poisson
Laila Poisson is a scholar working on Genetics, Cancer Research and Health Informatics, having authored 108 papers that have together received 3.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (20 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), MicroRNA in disease regulation (11 papers), COVID-19 Clinical Research Studies (10 papers), Cancer-related molecular mechanisms research (7 papers), COVID-19 and healthcare impacts (6 papers), Molecular Biology Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). The work is most often cited by research in Genetics (1.0k citations), Cancer Research (881 citations) and Health Informatics (55 citations). Laila Poisson has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Tom Mikkelsen, Rajan Jain, Lonni Schultz, Chaya Brodie, Simona Cazacu, Cunli Xiang, Benjamin A. Rybicki, Mary Maliarik, Debashis Ghosh and Ana C. deCarvalho. Their work appears in journals such as Neuro-Oncology, Oncotarget, American Journal of Neuroradiology, Journal of Neuro-Oncology and Cancers.
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.