Prasanth Nannapaneni

Medicine

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

Circuits between infected macrophages and T cells in SARS-CoV-2 pneumonia

Nature(2021)10.1038/s41586-020-03148-w

N/A

0DataRank · unranked

778 citations

Luisa Morales‐Nebreda, Nikolay S. Markov, Suchitra Swaminathan, Melissa Querrey, Estefany Rios-Guzman +59 more

Individual target pharmacokinetic/pharmacodynamic attainment rates among meropenem-treated patients admitted to the ICU with hospital-acquired pneumonia

Journal of Antimicrobial Chemotherapy(2022)10.1093/jac/dkac245

N/A

0DataRank · unranked

4 citations

Marc H. Scheetz, Helen K. Donnelly, Alvaro Donayre, Mengjia Kang, Estefani Diaz +95 more

A machine learning approach identifies unresolving secondary pneumonia as a contributor to mortality in patients with severe pneumonia, including COVID-19

medRxiv(2022)10.1101/2022.09.23.22280118

N/A

0DataRank · unranked

2 citations

Nikolay S. Markov, Thomas Stoeger, Anna Pawlowski, Mengjia Kang, Prasanth Nannapaneni +16 more

Machine learning links unresolving secondary pneumonia to mortality in patients with severe pneumonia, including COVID-19

Journal of Clinical Investigation(2023)10.1172/jci170682

N/A

0DataRank · unranked

55 citations

Nikolay S. Markov, Thomas Stoeger, Anna Pawlowski, Mengjia Kang, Prasanth Nannapaneni +15 more

Distinctive evolution of alveolar T cell responses is associated with clinical outcomes in unvaccinated patients with SARS-CoV-2 pneumonia

Nature Immunology(2024)10.1038/s41590-024-01914-w

N/A

0DataRank · unranked

17 citations

Ziyou Ren, Karolina J. Senkow, Rogan A. Grant, Catherine A. Gao, Elizabeth S. Malsin +91 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

Alveolitis in severe SARS-CoV-2 pneumonia is driven by self-sustaining circuits between infected alveolar macrophages and T cells

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.08.05.238188

N/A

0DataRank · unranked

25 citations

Luisa Morales‐Nebreda, Nikolay S. Markov, Suchitra Swaminathan, Estefany Rios-Guzman, Darryl A. Abbott +30 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