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Saksham Phul
Saksham Phul
Children’s Hospital of Philadelphia
Verified email at chop.edu
Title
Cited by
Cited by
Year
A mathematical model to study the effect of potential drop across the SEI layer on the capacity fading of a lithium ion battery
S Phul, A Deshpande, B Krishnamurthy
Electrochimica Acta 164, 281-287, 2015
412015
A generalized mathematical model to understand the capacity fading in lithium ion batteries-Effects of solvent and lithium transport
A Deshpande, S Phul, B Krishnamurthy
Journal of Electrochemical Science and Engineering 5 (3), 181-195, 2015
132015
Predicting the functional impact of KCNQ1 variants with artificial neural networks
S Phul, G Kuenze, CG Vanoye, CR Sanders, AL George Jr, J Meiler
PLoS computational biology 18 (4), e1010038, 2022
112022
Modeling the performance of enzymatic glucose fuel cells
S Jariwala, S Phul, R Nagpal, S Goel, B Krishnamurthy
Journal of Electroanalytical Chemistry 801, 354-359, 2017
112017
Diffusion growth mechanism of penta-twinned Ag nanocrystals from decahedral seeds
J Cui, S Phul, KA Fichthorn
The Journal of Chemical Physics 158 (16), 2023
62023
AutoGVP: a dockerized workflow integrating ClinVar and InterVar germline sequence variant classification
J Kim, AS Naqvi, RJ Corbett, RS Kaufman, Z Vaksman, MA Brown, ...
Bioinformatics 40 (3), btae114, 2024
52024
The Open Pediatric Cancer Project
Z Geng, E Wafula, RJ Corbett, Y Zhang, R Jin, KS Gaonkar, S Shukla, ...
bioRxiv, 2024
42024
Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma
A Fathi Kazerooni, A Kraya, KS Rathi, MC Kim, A Vossough, N Khalili, ...
Nature Communications 16 (1), 340, 2025
12025
Multiparametric MRI along with machine learning informs on molecular underpinnings, prognosis, and treatment response in pediatric low-grade glioma
F Kazerooni, A Kraya, KS Rathi, MC Kim, A Vossough, N Khalili, ...
12024
Drugit: Crowd-sourcing molecular design of non-peptidic VHL binders
T Scott, CAP Smethurst, Y Westermaier, M Mayer, P Greb, R Kousek, ...
12023
Imaging Clusters of Pediatric Low-Grade Glioma are Associated with Distinct Molecular Characteristics
AF Kazerooni, A Kraya, KS Rathi, MC Kim, V Kesherwani, R Corbett, ...
American Journal of Neuroradiology, 2025
2025
Germline pathogenic variation impacts somatic alterations and patient outcomes in pediatric CNS tumors
RJ Corbett, RS Kaufman, SW McQuaid, Z Vaksman, S Phul, MA Brown, ...
medRxiv, 2025.02. 04.25321499, 2025
2025
Imaging Clusters of Pediatric Low-Grade Glioma are Associated with Distinct Molecular Characteristics
A Fathi Kazerooni, A Kraya, KS Rathi, MC Kim, V Kesherwani, R Corbett, ...
medRxiv, 2024.12. 16.24319099, 2024
2024
METB-14. INTEGRATED GERMLINE AND SOMATIC PROFILING OF PEDIATRIC BRAIN TUMORS REVEALS INCIDENTAL FINDINGS AND NOVEL TUMOR BIOLOGY
RJ Corbett, R Kaufman, SW McQuaid, Z Vaksman, S Phul, MA Brown, ...
Neuro-Oncology 26 (Suppl 4), 0, 2024
2024
Neuro-Oncology 26: iv223–iv251, 2024.
MHM Abu Arja
Neuro-Oncology, 2024
2024
Multiparametric MRI along with machine learning informs on molecular underpinnings, prognosis, and treatment response in pediatric low grade glioma
A Nabavizadeh, A Kraya, K Rathi, MC Kim, N Khalili, A Familiar, ...
Cancer Research 84 (6_Supplement), 5200-5200, 2024
2024
Germline pathogenic variants are enriched in pediatric central nervous system tumor patients and associate with somatic functional consequences
RJ Corbett, R Kaufman, SW McQuaid, Z Vaksman, S Phul, MA Brown, ...
Cancer Research 84 (6_Supplement), 6372-6372, 2024
2024
AutoGVP: a dockerized workflow integrating ClinVar and InterVar germline sequence variant classification
SJD Jung Kim, Ammar S Naqvi, Ryan J Corbett, Rebecca S Kaufman, Zalman ...
Bioinformatics, 2024
2024
Understanding growth mechanism of copper nanowire & application of machine learning to characterize silver nanoclusters
S Phul
Graduate School, The Pennsylvania State University, 2020
2020
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Articles 1–19