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Kshitij S. Gaur
Observed name:
Kshitij Gaur
Institution:
Medical College of Wisconsin
Observed institutions:
Medical College of Wisconsin,
Keck Hospital of USC
ORCID:
0000-0002-9101-7144
Observed ORCID:
0000-0002-9101-7144
OpenAlex ID:
A5018008317
Do or doughnut: A systematic review and pooled analysis on the utility of pathological evaluation of the anastomotic doughnut in oncological colorectal operations
2021
·
Jordan Wlodarczyk
, Kshitij Gaur
, et al.
·
Colorectal Disease
·
6
How do they measure up: Assessing the height of rectal cancer with digital rectal exam, endoscopy, and MRI,,
2022
·
Jordan Wlodarczyk
, Kshitij Gaur
, et al.
·
Surgery in Practice and Science
·
3
PDF
A Population Based Analysis of Breast Cancer Outcomes Among Disaggregated Asian American and Pacific Islander Women
2026
·
Meghan M. Conroy
, Kshitij S. Gaur
, et al.
·
Annals of Surgical Oncology
·
2
Abstract A074: Isolated pulmonary metastasis as the first site of progression predicts long-term overall survival in resected pancreatic adenocarcinoma
2026
·
Kshitij S. Gaur
, Shahmeer Mohydin
, et al.
·
Cancer Research
Abstract B123: Oncostatin M receptor (OSMR) is a tumor-selective target in pancreatic ductal adenocarcinoma: Quantitative expression in primary and metastatic patient tumors
2026
·
Naveenkumar Chandrashekhar
, Edward Opichka
, et al.
·
Cancer Research
Abstract A073: TP53 mutant variant allele frequency improves machine-learning prediction of post-operative survival in pancreatic cancer and marks a proliferative transcriptional program
2026
·
Kshitij S. Gaur
, Imaad Said
, et al.
·
Cancer Research
ASO Visual Abstract: A Population-Based Analysis of Breast Cancer Outcomes among Disaggregated Asian American and Pacific Islander Women
2026
·
Meghan M. Conroy
, Kshitij S. Gaur
, et al.
·
Annals of Surgical Oncology
PDF
Assessing Time to Surgery in Asian Women With Breast Cancer: A National Cancer Database Analysis
2026
·
Kshitij S. Gaur
, Meghan M. Conroy
, et al.
·
Journal of Surgical Oncology
Abstract 5344: Variant allele frequency machine learning model identifies unique TP53-mutant phenotypes with worse post-operative survival in pancreatic cancer.
2026
·
Imaad Said
, Eugene Chen
, et al.
·
Cancer Research
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Works count:
9
Citation count:
11
H-index:
2
I10-index:
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