Ankit Agrawal

Also affiliated with University of Arizona

MedicinePhysics and AstronomyMaterials Science

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 9 papers. Top paper: “Transitions in lung microbiota landscape associate with distinct patterns of pneumonia progression”.

Transitions in lung microbiota landscape associate with distinct patterns of pneumonia progression

Cell Host & Microbe(2025)10.1016/j.chom.2025.11.011

N/A

0.269DataRank · unranked

5 citations

Stefanie Huttelmaier, Chiagozie I. Pickens, Anahid A. Moghadam, Hiam Abdala‐Valencia, Jiaxian Shen +95 more

Developing and validating machine learning models to predict next-day extubation

Scientific Reports(2025)10.1038/s41598-025-12264-4

N/A

0.241DataRank · unranked

4 citations

Alec Peltekian, Mengjia Kang, Nikolay S. Markov, Mengou Zhu, Kevin Grudzinski +16 more

Neutrophil percentages in bronchoalveolar lavage fluid: Implications for diagnosing bacterial pneumonia in patients with immunocompromise and neutropenia

medRxiv(2024)10.1101/2024.05.04.24306709

N/A

0.104DataRank · unranked

1 citations

S. Fenske, Alec Peltekian, Nikolay S. Markov, Anna Pawlowski, Mengjia Kang +8 more

Profibrotic monocyte-derived alveolar macrophages as a biomarker and therapeutic target in systemic sclerosis-associated interstitial lung disease

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.08.07.669006

N/A

0DataRank · unranked

3 citations

Anthony J. Esposito, Karolina J. Senkow, M. Schleck, Luisa Cusick, Zhan Yu +61 more

Machine Learning Analysis of Electronic Health Records Identifies Interstitial Lung Disease and Predicts Mortality in Patients with Systemic Sclerosis

medRxiv(2025)10.1101/2025.06.02.25328786

N/A

0DataRank · unranked

0 citations

Kevin Grudzinski, B. Bemiss, Jane E. Dematte, Carrie Richardson, Mary Carns +27 more

Developing and validating a machine learning model to predict successful next-day extubation in the ICU

medRxiv(2024)10.1101/2024.06.28.24309547

N/A

0DataRank · unranked

3 citations

Alec Peltekian, Mengjia Kang, Nikolay S. Markov, Mengou Zhu, Kevin Grudzinski +16 more

Development of a Pilot Machine Learning Model to Predict Successful Short-Term Treatment Success in Critically Ill Patients With Community-Acquired Pneumonia

CHEST Critical Care(2025)10.1016/j.chstcc.2025.100228

N/A

0DataRank · unranked

0 citations

Wan‐Ting Liao, Alec Peltekian, Nikolay S. Markov, Mengjia Kang, Luke V. Rasmussen +10 more

Large language models accurately identify immunosuppression in intensive care unit patients

Journal of the American Medical Informatics Association(2025)10.1093/jamia/ocaf141

N/A

0DataRank · unranked

1 citations

Mengjia Kang, M. Bak, Steven Tran, Anna Pawlowski, Prasanth Nannapaneni +87 more

Large language models outperform traditional structured data-based approaches in identifying immunosuppressed patients

medRxiv(2025)10.1101/2025.01.16.25320564

N/A

0DataRank · unranked

3 citations

Mengjia Kang, M. Bak, Steven Tran, Anna Pawlowski, Prasanth Nannapaneni +12 more