Laila Poisson

28.4k total citations · 1 hit paper
108 papers, 3.6k citations indexed

About

Laila Poisson is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Laila Poisson has authored 108 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 23 papers in Genetics and 23 papers in Oncology. Recurrent topics in Laila Poisson's work include Glioma Diagnosis and Treatment (20 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and MicroRNA in disease regulation (11 papers). Laila Poisson is often cited by papers focused on Glioma Diagnosis and Treatment (20 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and MicroRNA in disease regulation (11 papers). Laila Poisson collaborates with scholars based in United States, Israel and United Kingdom. Laila Poisson's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Laila Poisson

106 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas

2018 325 citations Laila Poisson, Rajan Jain et al. American Journal of Neuroradiology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Laila Poisson United States	32	1.3k	1.0k	917	881	454	108	3.6k
Pierre A. Robe Netherlands	31	1.4k 1.1×	1.0k 1.0×	360 0.4×	745 0.8×	466 1.0×	152	3.4k
Daniela A. Bota United States	30	1.5k 1.2×	1.1k 1.1×	431 0.5×	321 0.4×	585 1.3×	149	3.5k
Kyle M. Walsh United States	29	1.9k 1.5×	1.4k 1.3×	407 0.4×	1.0k 1.2×	789 1.7×	120	4.6k
George Α. Alexiou Greece	31	1.0k 0.8×	1.0k 1.0×	625 0.7×	366 0.4×	444 1.0×	240	3.7k
Sunit Das Canada	36	1.1k 0.9×	1.2k 1.1×	559 0.6×	591 0.7×	1.0k 2.3×	193	4.5k
Susan Short United Kingdom	35	1.4k 1.1×	1.0k 1.0×	1.5k 1.6×	661 0.8×	1.2k 2.6×	159	4.2k
Stephen L. Brown United States	34	1.1k 0.9×	434 0.4×	1.0k 1.1×	337 0.4×	764 1.7×	109	3.3k
Sandrine Rorive Belgium	33	1.5k 1.2×	748 0.7×	670 0.7×	763 0.9×	451 1.0×	101	3.9k
Therese A. Dolecek United States	25	1.0k 0.8×	2.2k 2.1×	464 0.5×	645 0.7×	789 1.7×	45	4.8k
Hannu Haapasalo Finland	39	2.4k 1.9×	1.1k 1.1×	321 0.4×	754 0.9×	483 1.1×	131	4.9k

Countries citing papers authored by Laila Poisson

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Laila Poisson

This figure shows the co-authorship network connecting the top 25 collaborators of Laila Poisson. A scholar is included among the top collaborators of Laila Poisson 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 Laila Poisson. Laila Poisson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Miller, Christopher B., David Willens, Benjamin Brennan, et al.. (2025). Real-World Implementation and Impact of Digital CBT for Insomnia on Healthcare Utilization: A Propensity-Matched Controlled Study. PubMed. 6. 2628251586–2628251586.

Datta, Indrani, Kimberly Bergman, Thaís S. Sabedot, et al.. (2025). Impact of developmental state, p53 status, and interferon signaling on glioblastoma cell response to radiation and temozolomide treatment. PLoS ONE. 20(2). e0315171–e0315171.

Wang, Anqi, et al.. (2024). Medical mistrust and receptivity to lung cancer screening among African American and white American smokers. Psychology Health & Medicine. 30(6). 1057–1068. 4 indexed citations

Datta, Indrani, Insha Zahoor, Mirela Cerghet, et al.. (2024). Utility of an Untargeted Metabolomics Approach Using a 2D GC-GC-MS Platform to Distinguish Relapsing and Progressive Multiple Sclerosis. Metabolites. 14(9). 493–493. 1 indexed citations

Tam, Samantha, Steven Chang, Benjamin Movsas, et al.. (2024). Association of Social Determinants with Patient-Reported Outcomes in Patients with Cancer. Cancers. 16(5). 1015–1015. 3 indexed citations

Poisson, Laila, et al.. (2023). System-based integrated metabolomics and microRNA analysis identifies potential molecular alterations in human X-linked cerebral adrenoleukodystrophy brain. Human Molecular Genetics. 32(23). 3249–3262. 4 indexed citations

Zahoor, Insha, Hamid Suhail, Indrani Datta, et al.. (2022). Blood-based untargeted metabolomics in relapsing-remitting multiple sclerosis revealed the testable therapeutic target. Proceedings of the National Academy of Sciences. 119(25). e2123265119–e2123265119. 42 indexed citations

Jehangir, Qasim, Yi Lee, Laila Poisson, et al.. (2022). Incidence, Mortality, and Imaging Outcomes of Atrial Arrhythmias in COVID-19. The American Journal of Cardiology. 173. 64–72. 12 indexed citations

Lee, Yi, Qasim Jehangir, Chun‐Hui Lin, et al.. (2022). 3D-PAST: Risk Assessment Model for Predicting Venous Thromboembolism in COVID-19. Journal of Clinical Medicine. 11(14). 3949–3949. 5 indexed citations

10.

Poisson, Laila, Nivedita Tiwari, Seongho Kim, et al.. (2022). Divergent Metabolic Effects of Metformin Merge to Enhance Eicosapentaenoic Acid Metabolism and Inhibit Ovarian Cancer In Vivo. Cancers. 14(6). 1504–1504. 7 indexed citations

11.

Jehangir, Qasim, Yi Lee, Laila Poisson, et al.. (2022). Data of atrial arrhythmias in hospitalized COVID-19 and influenza patients. Data in Brief. 42. 108177–108177. 3 indexed citations

12.

Sabedot, Thaís S., Tiago C. Silva, Tathiane M. Malta, et al.. (2021). DNA methylation-based signatures classify sporadic pituitary tumors according to clinicopathological features. Neuro-Oncology. 23(8). 1292–1303. 14 indexed citations

13.

Fitzgerald, Kathryn C., Matthew D. Smith, Sol Kim, et al.. (2021). Multi-omic evaluation of metabolic alterations in multiple sclerosis identifies shifts in aromatic amino acid metabolism. Cell Reports Medicine. 2(10). 100424–100424. 50 indexed citations

14.

Wang, Dee Dee, William W. O’Neill, Marcus Zervos, et al.. (2021). Association Between Implementation of a Universal Face Mask Policy for Healthcare Workers in a Health Care System and SARS-CoV-2 Positivity Testing Rate in Healthcare Workers. Journal of Occupational and Environmental Medicine. 63(6). 476–481. 8 indexed citations

15.

Batchala, Prem P., James T. Patrie, Laila Poisson, et al.. (2020). Prognostic Value of Preoperative MRI Metrics for Diffuse Lower-Grade Glioma Molecular Subtypes. American Journal of Neuroradiology. 41(5). 815–821. 11 indexed citations

16.

Check, Devon K., Katherine A. Hutcheson, Laila Poisson, et al.. (2019). Factors associated with employment discontinuation among older and working age survivors of oropharyngeal cancer. Head & Neck. 41(11). 3948–3959. 8 indexed citations

17.

Singh, Jaipaul, Mirela Cerghet, Laila Poisson, et al.. (2018). Urinary and Plasma Metabolomics Identify the Distinct Metabolic Profile of Disease State in Chronic Mouse Model of Multiple Sclerosis. Journal of Neuroimmune Pharmacology. 14(2). 241–250. 18 indexed citations

18.

Griffith, Brent, et al.. (2018). CSF Pressure Change in Relation to Opening Pressure and CSF Volume Removed. American Journal of Neuroradiology. 39(6). 1185–1190. 9 indexed citations

19.

Patel, Sohil H., Laila Poisson, Daniel J. Brat, et al.. (2017). T2–FLAIR Mismatch, an Imaging Biomarker for IDH and 1p/19q Status in Lower-grade Gliomas: A TCGA/TCIA Project. Clinical Cancer Research. 23(20). 6078–6085. 283 indexed citations

20.

Iannuzzi, Michael C., Mary Maliarik, Laila Poisson, & Benjamin A. Rybicki. (2003). Sarcoidosis Susceptibility and Resistance HLA-DQB1 Alleles in African Americans. American Journal of Respiratory and Critical Care Medicine. 167(9). 1225–1231. 101 indexed citations

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.

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