Mengjia Kang

MedicineComputer 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 23 papers. Top paper: “Alveolitis in severe SARS-CoV-2 pneumonia is driven by self-sustaining circuits between infected alveolar macrophages and T cells”.

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

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0DataRank · unranked

25 citations

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

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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

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0DataRank · unranked

2 citations

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

Developing a standardized but extendable framework to increase the findability of infectious disease datasets

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.10.511492

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0DataRank · unranked

0 citations

Marco Alvarado Cano, José Bento, Candice Czech, Mengjia Kang, Lars Pache +14 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

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0DataRank · unranked

55 citations

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

Individual meropenem epithelial lining fluid and plasma PK/PD target attainment

Antimicrobial Agents and Chemotherapy(2023)10.1128/aac.00727-23

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0DataRank · unranked

7 citations

Paul R. Yarnold, Marc H. Scheetz, Michael Neely, Mengjia Kang, Helen K. Donnelly +10 more

Developing a standardized but extendable framework to increase the findability of infectious disease datasets

Scientific Data(2023)10.1038/s41597-023-01968-9

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0DataRank · unranked

18 citations

Marco Alvarado Cano, José Bento, Candice Czech, Mengjia Kang, Lars Pache +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

Evolution of a Graph Model for the OMOP Common Data Model

Applied Clinical Informatics(2024)10.1055/s-0044-1791487

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0DataRank · unranked

1 citations

Jose A. Alvarado-Guzman, Luke V. Rasmussen, Justin Starren, Mengjia Kang

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

medRxiv(2024)10.1101/2024.06.28.24309547

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0DataRank · unranked

3 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

0DataRank · unranked

1 citations

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

Antibiotic de-escalation patterns and outcomes in critically ill patients with suspected pneumonia as informed by bronchoalveolar lavage results

European Journal of Clinical Microbiology & Infectious Diseases(2025)10.1007/s10096-025-05144-2

N/A

0DataRank · unranked

10 citations

Chiagozie I. Pickens, Nikolay S. Markov, Anna Pawlowski, Mengjia Kang, Luke V. Rasmussen +7 more

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

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

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0DataRank · 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

0DataRank · unranked

4 citations

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

An Observational Cohort Study of Bronchoalveolar Lavage Fluid Galactomannan and Aspergillus Culture Positivity in Patients Requiring Mechanical Ventilation

Open Forum Infectious Diseases(2025)10.1093/ofid/ofaf090

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0DataRank · unranked

1 citations

Nikolay S. Markov, Chiagozie I. Pickens, Anna Pawlowski, Mengjia Kang, James M. Walter +3 more

Individual target pharmacokinetic/pharmacodynamic attainment rates among cefepime-treated patients admitted to the ICU with hospital-acquired pneumonia with and without ECMO

Antimicrobial Agents and Chemotherapy(2025)10.1128/aac.00102-25

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0DataRank · unranked

1 citations

Monika Żurawska-Kliś, Emma Harlan, Marc H. Scheetz, MIchael N. Neely, Paul R. Yarnold +15 more

Novel enzyme-based reduced representation method for DNA methylation profiling with low inputs

Nucleic Acids Research(2025)10.1093/nar/gkaf558

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0DataRank · unranked

1 citations

Kathryn A. Helmin, Zachary D. Dortzbach, Carla P. Reyes Flores, Manuel A. Torres Acosta, Jonathan Gurkan +9 more

Large language models accurately identify immunosuppression in intensive care unit patients

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

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0DataRank · unranked

1 citations

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

Critical threshold target attainment rates for tazobactam combined with piperacillin among patients admitted to the ICU with hospital-acquired pneumonia

Antimicrobial Agents and Chemotherapy(2025)10.1128/aac.01766-25

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0DataRank · unranked

1 citations

Marta Zurawska, Adrian Valadez, Emma Harlan, Marc H. Scheetz, Michael Neely +14 more

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

medRxiv(2025)10.1101/2025.01.16.25320564

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0DataRank · unranked

3 citations

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

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0DataRank · unranked

0 citations

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

Pharmacokinetic-pharmacodynamic target attainment with continuous infusion piperacillin in patients admitted to the ICU with hospital-acquired pneumonia

Antimicrobial Agents and Chemotherapy(2025)10.1128/aac.01760-25

N/A

0DataRank · unranked

0 citations

Adrian Valadez, Emma Harlan, Ryan H. Williamson, Marc H. Scheetz, Michael Neely +14 more