Catherine A. Gao

3.3k total citations · 1 hit paper
33 papers, 915 citations indexed

About

Catherine A. Gao is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine and Molecular Biology. According to data from OpenAlex, Catherine A. Gao has authored 33 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Critical Care and Intensive Care Medicine and 6 papers in Molecular Biology. Recurrent topics in Catherine A. Gao's work include Pneumonia and Respiratory Infections (7 papers), Nosocomial Infections in ICU (5 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Catherine A. Gao is often cited by papers focused on Pneumonia and Respiratory Infections (7 papers), Nosocomial Infections in ICU (5 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Catherine A. Gao collaborates with scholars based in United States, Canada and Brazil. Catherine A. Gao's co-authors include Yuan Luo, Frederick M. Howard, Nikolay S. Markov, Siddhi Ramesh, Alexander T. Pearson, Emma Dyer, Raymond M. Reilly, Mark D. Minden, Jeffrey V. Leyton and Eric Roberto Guimarães Rocha Aguiar and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Catherine A. Gao

27 papers receiving 885 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers

2023 373 citations Catherine A. Gao, Frederick M. Howard et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Catherine A. Gao United States	14	374	200	199	100	99	33	915
Christopher A. Lovejoy United Kingdom	9	335 0.9×	238 1.2×	306 1.5×	64 0.6×	34 0.3×	14	844
Dilhan Weeraratne United States	5	329 0.9×	195 1.0×	226 1.1×	50 0.5×	154 1.6×	15	1.1k
Megan Coffee United States	12	108 0.3×	171 0.9×	264 1.3×	182 1.8×	85 0.9×	19	1.1k
Usman Munir United States	5	379 1.0×	128 0.6×	207 1.0×	38 0.4×	23 0.2×	9	711
Seth J. Berkowitz United States	14	391 1.0×	626 3.1×	705 3.5×	37 0.4×	111 1.1×	29	1.4k
Junaid Bajwa United Kingdom	2	379 1.0×	125 0.6×	206 1.0×	37 0.4×	27 0.3×	4	683
Irene Y. Chen United States	9	480 1.3×	384 1.9×	251 1.3×	85 0.8×	32 0.3×	30	1.0k
Benjamin Rader United States	19	66 0.2×	111 0.6×	93 0.5×	214 2.1×	49 0.5×	42	1.4k
Kaku Tamura Japan	9	43 0.1×	149 0.7×	192 1.0×	85 0.8×	109 1.1×	13	846
Stylianos Serghiou United States	13	58 0.2×	101 0.5×	52 0.3×	88 0.9×	175 1.8×	23	1.0k

Countries citing papers authored by Catherine A. Gao

Since Specialization

Citations

This map shows the geographic impact of Catherine A. Gao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Catherine A. Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine A. Gao more than expected).

Fields of papers citing papers by Catherine A. Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine A. Gao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Catherine A. Gao. The network helps show where Catherine A. Gao may publish in the future.

Co-authorship network of co-authors of Catherine A. Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine A. Gao. A scholar is included among the top collaborators of Catherine A. Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Catherine A. Gao. Catherine A. Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gao, Catherine A., Mary Carns, Kathleen Aren, et al.. (2025). Radiomic Features Detect Interstitial Lung Disease in Patients With Systemic Sclerosis. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A1707–A1707.

Kang, Mengjia, Nikolay S. Markov, Anna Pawlowski, et al.. (2025). Developing and validating machine learning models to predict next-day extubation. Scientific Reports. 15(1). 27552–27552.

Pickens, Chiagozie I., Nikolay S. Markov, Anna Pawlowski, et al.. (2025). 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. 44(8). 1861–1871.

Gao, Catherine A., et al.. (2025). Aggregatable Subvector Commitment with Efficient Updates. Applied Sciences. 15(2). 554–554.

Gao, Catherine A., Nikolay S. Markov, Thomas Stoeger, et al.. (2023). Machine learning links unresolving secondary pneumonia to mortality in patients with severe pneumonia, including COVID-19. Journal of Clinical Investigation. 133(12). 23 indexed citations

Pickens, Chiagozie I., Catherine A. Gao, James M. Walter, et al.. (2023). An Adjudication Protocol for Severe Pneumonia. Open Forum Infectious Diseases. 10(7). ofad336–ofad336. 10 indexed citations

Hosseini, Mohammad, Catherine A. Gao, David Liebovitz, et al.. (2023). An exploratory survey about using ChatGPT in education, healthcare, and research. PLoS ONE. 18(10). e0292216–e0292216. 112 indexed citations

Gao, Catherine A., Frederick M. Howard, Nikolay S. Markov, et al.. (2023). Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers. npj Digital Medicine. 6(1). 75–75. 373 indexed citations breakdown →

Xavier, João B., Jonathan M. Monk, Saugat Poudel, et al.. (2022). Mathematical models to study the biology of pathogens and the infectious diseases they cause. iScience. 25(4). 104079–104079. 11 indexed citations

10.

Arnold, Jason, Catherine A. Gao, Elizabeth S. Malsin, et al.. (2022). Outcomes of Percutaneous Tracheostomy for Patients With SARS-CoV-2 Respiratory Failure. Journal of Bronchology & Interventional Pulmonology. 30(1). 60–65. 6 indexed citations

11.

Gao, Catherine A., Luisa Morales‐Nebreda, & Chiagozie I. Pickens. (2022). Gearing up for battle: Harnessing adaptive T cell immunity against gram-negative pneumonia. Frontiers in Cellular and Infection Microbiology. 12. 934671–934671. 4 indexed citations

12.

Brown, Bryan T., et al.. (2022). Anthropomorphic Character Animations Versus Digital Chalk Talks in a Resident Diabetes Pharmacotherapy Curriculum: a Randomized Controlled Trial. Journal of General Internal Medicine. 37(9). 2251–2258. 3 indexed citations

13.

Pickens, Chiagozie I., Catherine A. Gao, Michael J. Cuttica, et al.. (2021). Bacterial Superinfection Pneumonia in Patients Mechanically Ventilated for COVID-19 Pneumonia. American Journal of Respiratory and Critical Care Medicine. 204(8). 921–932. 87 indexed citations

14.

Kurihara, Chitaru, Adwaiy Manerikar, Catherine A. Gao, et al.. (2021). Outcomes after extracorporeal membrane oxygenation support in COVID‐19 and non‐COVID‐19 patients. Artificial Organs. 46(4). 688–696. 25 indexed citations

15.

Howard, Frederick M., et al.. (2020). Implementation of an automated scheduling tool improves schedule quality and resident satisfaction. PLoS ONE. 15(8). e0236952–e0236952. 16 indexed citations

16.

Gao, Catherine A., et al.. (2019). NOCARDIA ABSCESS AND PULMONARY ALVEOLAR PROTEINOSIS MASQUERADING AS LUNG CANCER WITH LYMPHANGITIC SPREAD IN A 57-YEAR-OLD PATIENT WITH 80-PACK YEAR SMOKING HISTORY. CHEST Journal. 156(4). A251–A251.

17.

Gao, Catherine A., Urs M. Weber, Aldo J. Peixoto, & Sarah A. Weiss. (2019). Seronegative autoimmune autonomic ganglionopathy from dual immune checkpoint inhibition in a patient with metastatic melanoma. Journal for ImmunoTherapy of Cancer. 7(1). 262–262. 17 indexed citations

18.

Gao, Catherine A., Jeffrey V. Leyton, Aaron D. Schimmer, Mark D. Minden, & Raymond M. Reilly. (2015). Auger electron-emitting 111 In-DTPA-NLS-CSL360 radioimmunoconjugates are cytotoxic to human acute myeloid leukemia (AML) cells displaying the CD123 + /CD131 − phenotype of leukemia stem cells. Applied Radiation and Isotopes. 110. 1–7. 13 indexed citations

19.

Leyton, Jeffrey V., Brent A. Williams, Catherine A. Gao, et al.. (2014). MicroSPECT/CT imaging of primary human AML engrafted into the bone marrow and spleen of NOD/SCID mice using 111In-DTPA-NLS-CSL360 radioimmunoconjugates recognizing the CD123+/CD131− epitope expressed by leukemia stem cells. Leukemia Research. 38(11). 1367–1373. 10 indexed citations

20.

Leyton, Jeffrey V., Catherine A. Gao, Patricia V. Turner, et al.. (2011). Auger Electron Radioimmunotherapeutic Agent Specific for the CD123⁺/CD131⁻ Phenotype of the Leukemia Stem Cell Population. Journal of Nuclear Medicine. 52(9). 1465–1473. 37 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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