Michael H. Cho

23.4k total citations
193 papers, 3.9k citations indexed

About

Michael H. Cho is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Michael H. Cho has authored 193 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Pulmonary and Respiratory Medicine, 59 papers in Molecular Biology and 54 papers in Physiology. Recurrent topics in Michael H. Cho's work include Chronic Obstructive Pulmonary Disease (COPD) Research (105 papers), Asthma and respiratory diseases (50 papers) and Genetic Associations and Epidemiology (39 papers). Michael H. Cho is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (105 papers), Asthma and respiratory diseases (50 papers) and Genetic Associations and Epidemiology (39 papers). Michael H. Cho collaborates with scholars based in United States, United Kingdom and South Korea. Michael H. Cho's co-authors include Edwin K. Silverman, Craig P. Hersh, James D. Crapo, Terri H. Beaty, George R. Washko, Peter J. Castaldi, Brian D. Hobbs, Dawn L. DeMeo, John E. Hokanson and David A. Lynch and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Michael H. Cho

184 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael H. Cho United States	33	2.4k	1.0k	994	597	300	193	3.9k
Craig P. Hersh United States	44	4.4k 1.8×	1.3k 1.3×	2.1k 2.1×	459 0.8×	620 2.1×	185	6.1k
Weiliang Qiu United States	40	1.1k 0.5×	1.5k 1.5×	789 0.8×	292 0.5×	148 0.5×	115	4.2k
John J. Reilly United States	44	3.6k 1.5×	553 0.5×	1.2k 1.3×	171 0.3×	285 0.9×	97	4.9k
Peter J. Castaldi United States	29	1.2k 0.5×	596 0.6×	671 0.7×	224 0.4×	120 0.4×	110	2.5k
Albert M. Levin United States	30	1.1k 0.5×	2.8k 2.7×	899 0.9×	1.1k 1.8×	248 0.8×	116	5.8k
Blanca E. Himes United States	30	720 0.3×	784 0.8×	1.0k 1.0×	268 0.4×	92 0.3×	93	2.6k
Elizabeth A. Regan United States	31	3.0k 1.3×	361 0.4×	1.2k 1.2×	128 0.2×	161 0.5×	120	4.2k
Benjamin A. Raby United States	50	2.5k 1.0×	1.9k 1.9×	3.0k 3.0×	1.2k 2.0×	452 1.5×	194	7.4k
Nan Zhong China	29	880 0.4×	859 0.8×	742 0.7×	129 0.2×	104 0.3×	96	3.1k
José Luís Izquierdo Alonso Spain	39	2.7k 1.1×	1.1k 1.0×	1.6k 1.6×	61 0.1×	138 0.5×	174	5.1k

Countries citing papers authored by Michael H. Cho

Since Specialization

Citations

This map shows the geographic impact of Michael H. Cho'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 Michael H. Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael H. Cho more than expected).

Fields of papers citing papers by Michael H. Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael H. Cho. 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 Michael H. Cho. The network helps show where Michael H. Cho may publish in the future.

Co-authorship network of co-authors of Michael H. Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Michael H. Cho. A scholar is included among the top collaborators of Michael H. Cho 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 Michael H. Cho. Michael H. Cho 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

Putman, Rachel K., Jonathan A. Rose, R. San José Estépar, et al.. (2025). Visual and Quantitative Interstitial Lung Abnormality Progression in COPDGene. American Journal of Respiratory and Critical Care Medicine. 211(10). 1794–1801.

Yun, Taedong, Zachary R. McCaw, Robert Luben, et al.. (2024). Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction. Nature Genetics. 56(8). 1604–1613. 13 indexed citations

Ross, James C., Rosa Faner, Michael H. Cho, et al.. (2023). Clinical relevance of lung function trajectory clusters in middle-aged and older adults. ERJ Open Research. 10(1). 793–2023.

Baldomero, Arianne K., Adam Kaplan, Eric F. Lock, et al.. (2023). Bilirubin-associated single nucleotide polymorphism (SNP) and respiratory health outcomes: a mendelian randomization study. Respiratory Research. 24(1). 190–190.

Alipanahi, Babak, Zachary R. McCaw, Tae‐Hwi Schwantes‐An, et al.. (2023). Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models. Nature Genetics. 55(5). 787–795. 25 indexed citations

Saferali, Aabida, Dandi Qiao, Wonji Kim, et al.. (2022). CFTRvariants are associated with chronic bronchitis in smokers. European Respiratory Journal. 60(2). 2101994–2101994. 7 indexed citations

Werder, Rhiannon B., Tao Liu, Kristine M. Abo, et al.. (2022). CRISPR interference interrogation of COPD GWAS genes reveals the functional significance of desmoplakin in iPSC-derived alveolar epithelial cells. Science Advances. 8(28). eabo6566–eabo6566. 15 indexed citations

Hecker, Julian, Dmitry Prokopenko, Matthew Moll, et al.. (2022). A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables. PLoS Genetics. 18(11). e1010464–e1010464. 3 indexed citations

Ma, Shiyang, Justin Lee, Chen Wang, et al.. (2021). Powerful gene-based testing by integrating long-range chromatin interactions and knockoff genotypes. Proceedings of the National Academy of Sciences. 118(47). 9 indexed citations

10.

Zhang, Yuhang, Michael R. Hoopmann, Peter J. Castaldi, et al.. (2021). Lung proteomic biomarkers associated with chronic obstructive pulmonary disease. American Journal of Physiology-Lung Cellular and Molecular Physiology. 321(6). L1119–L1130. 27 indexed citations

11.

Wang, Zifeng, Zhonghui Xu, Adel Boueiz, et al.. (2021). Improved prediction of smoking status via isoform-aware RNA-seq deep learning models. PLoS Computational Biology. 17(10). e1009433–e1009433. 5 indexed citations

12.

Yun, Jeong H., Jarrett D. Morrow, Robert Chase, et al.. (2021). An interferon-inducible signature of airway disease from blood gene expression profiling. European Respiratory Journal. 59(5). 2100569–2100569. 11 indexed citations

13.

Moll, Matthew, Sharon M. Lutz, Auyon Ghosh, et al.. (2020). Relative contributions of family history and a polygenic risk score on COPD and related outcomes: COPDGene and ECLIPSE studies. BMJ Open Respiratory Research. 7(1). e000755–e000755. 10 indexed citations

14.

Hahn, Georg, Sharon M. Lutz, Julian Hecker, et al.. (2020). locStra: Fast analysis of regional/global stratification in whole‐genome sequencing studies. Genetic Epidemiology. 45(1). 82–98. 4 indexed citations

15.

Ford, Julia A., Xinyi Liu, Su H. Chu, et al.. (2020). Asthma, Chronic Obstructive Pulmonary Disease, and Subsequent Risk for Incident Rheumatoid Arthritis Among Women: A Prospective Cohort Study. Arthritis & Rheumatology. 72(5). 704–713. 44 indexed citations

16.

Qiao, Dandi, Corwin Zigler, Michael H. Cho, et al.. (2020). Statistical considerations for the analysis of massively parallel reporter assays data. Genetic Epidemiology. 44(7). 785–794. 3 indexed citations

17.

Lee, Sanghun, Jessica Lasky‐Su, Christoph Lange, et al.. (2020). A novel locus for exertional dyspnoea in childhood asthma. European Respiratory Journal. 57(2). 2001224–2001224. 6 indexed citations

18.

Hecker, Julian, Ingo Ruczinski, Michael H. Cho, et al.. (2019). A flexible and nearly optimal sequential testing approach to randomized testing: QUICK‐STOP. Genetic Epidemiology. 44(2). 139–147. 2 indexed citations

19.

Hersh, Craig P., Ian M. Adcock, Juan C. Celedón, et al.. (2018). High-Throughput Sequencing in Respiratory, Critical Care, and Sleep Medicine Research. An Official American Thoracic Society Workshop Report. Annals of the American Thoracic Society. 16(1). 1–16. 7 indexed citations

20.

Kim, Wonji, Dandi Qiao, Michael H. Cho, et al.. (2017). Selecting cases and controls for DNA sequencing studies using family histories of disease. Statistics in Medicine. 36(13). 2081–2099. 1 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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