Roopa Kohli‐Seth

MedicineHealth Professions

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 10 papers. Top paper: “Anticoagulation, Bleeding, Mortality, and Pathology in Hospitalized Patients With COVID-19”.

Anticoagulation, Bleeding, Mortality, and Pathology in Hospitalized Patients With COVID-19

Journal of the American College of Cardiology(2020)10.1016/j.jacc.2020.08.041

N/A

0.926DataRank · unranked

480 citations

Anuradha Lala, Emilia Bagiella, Helena Chang, Pedro Moreno, Elisabet Pujadas +16 more

COVID‐19 critical illness pathophysiology driven by diffuse pulmonary thrombi and pulmonary endothelial dysfunction responsive to thrombolysis

Clinical and Translational Medicine(2020)10.1002/ctm2.44

N/A

0.723DataRank · unranked

123 citations

Corey E. Ventetuolo, Thomas M. Tolbert, Glen Chun, Gregory Serrao, Amanda Dijanic Zeidman +5 more

Machine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsis

Critical Care(2024)10.1186/s13054-024-04935-x

N/A

0.598DataRank · unranked

53 citations

Won-Suk Oh, Lili Chan, Ira Hofer, Khaled Shawwa, Monica Kraft +5 more

A distributional reinforcement learning model for optimal glucose control after cardiac surgery

npj Digital Medicine(2025)10.1038/s41746-025-01709-9

N/A

0.373DataRank · unranked

11 citations

Zhang-Wei Hong, Moein Sabounchi, Ashwin Sawant, Jaskirat Gill, Ana Catarina Costa +27 more

ORAKLE: Optimal Risk prediction for mAke30 in patients with sepsis associated AKI using deep LEarning

Critical Care(2025)10.1186/s13054-025-05457-w

N/A

0.345DataRank · unranked

9 citations

Marinela Veshtaj, Ashwin Sawant, Pulkit Agrawal, Hernando Gómez, Mayte Suárez‐Fariñas +7 more

NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Hypocaloric Enteral Nutrition in Mechanically Ventilated Patients

medRxiv(2025)10.1101/2025.01.06.25320067

N/A

0.165DataRank · unranked

2 citations

Jayshil J. Patel, Jaskirat Gill, Paul McCarthy, Jacob Desman, Rohit Gupta +14 more

NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Underfeeding Enteral Nutrition in Mechanically Ventilated Patients

Nature Communications(2025)10.1038/s41467-025-66200-1

N/A

0.104DataRank · unranked

1 citations

Jayshil J. Patel, Akhil Vaid, Jaskirat Gill, Paul McCarthy, Jacob Desman +15 more

Extracting International Classification of Diseases Codes from Clinical Documentation Using Large Language Models

Applied Clinical Informatics(2024)10.1055/a-2491-3872

N/A

0DataRank · unranked

18 citations

Kullaya Takkavatakarn, Megan McDougal, Girish N. Nadkarni, Ankit Sakhuja, Brian Dilcher +12 more

Effect of Tiered Implementation of Clinical Decision Support System for Acute Kidney Injury and Nephrotoxin Exposure in Cardiac Surgery Patients

Applied Clinical Informatics(2025)10.1055/s-0044-1791822

N/A

0DataRank · unranked

6 citations

Connor Nevin, Rebecca L. Neely, Brian Dilcher, Nicole Kovacic-Scherrer, Heather Carter‐Templeton +13 more

ORAKLE: Optimal Risk prediction for mAke30 in patients with acute Kidney injury using deep Learning

medRxiv(2025)10.1101/2025.01.18.25320769

N/A

0DataRank · unranked

0 citations

Marinela Veshtaj, Ashwin Sawant, Pulkit Agrawal, Hernando Gómez, Mayte Suárez‐Fariñas +7 more