Peter J. Castaldi

12.6k total citations
110 papers, 2.5k citations indexed

About

Peter J. Castaldi is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Peter J. Castaldi has authored 110 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Pulmonary and Respiratory Medicine, 38 papers in Molecular Biology and 26 papers in Physiology. Recurrent topics in Peter J. Castaldi's work include Chronic Obstructive Pulmonary Disease (COPD) Research (67 papers), Asthma and respiratory diseases (23 papers) and RNA modifications and cancer (17 papers). Peter J. Castaldi is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (67 papers), Asthma and respiratory diseases (23 papers) and RNA modifications and cancer (17 papers). Peter J. Castaldi collaborates with scholars based in United States, Canada and United Kingdom. Peter J. Castaldi's co-authors include Edwin K. Silverman, Craig P. Hersh, John P. A. Ioannidis, Ioanna Tzoulaki, George C.M. Siontis, Michael H. Cho, James D. Crapo, Nan M. Laird, Luigi Ferini‐Strambi and Stefano F. Cappa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Peter J. Castaldi

105 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter J. Castaldi United States 29 1.2k 671 596 224 199 110 2.5k
Kenneth G. Morris United States 31 1.6k 1.3× 1.0k 1.5× 630 1.1× 186 0.8× 147 0.7× 64 3.9k
Shawn Malone Canada 31 2.7k 2.2× 547 0.8× 331 0.6× 126 0.6× 362 1.8× 168 4.5k
Amanda I. Phipps United States 36 683 0.6× 416 0.6× 802 1.3× 725 3.2× 1.1k 5.6× 141 4.3k
Michael H. Cho United States 33 2.4k 2.0× 994 1.5× 1.0k 1.7× 597 2.7× 251 1.3× 193 3.9k
Ray Bahado‐Singh United States 37 315 0.3× 492 0.7× 867 1.5× 219 1.0× 176 0.9× 184 4.6k
Evan L. Brittain United States 33 2.2k 1.8× 303 0.5× 522 0.9× 75 0.3× 210 1.1× 148 3.7k
Cristina Sison United States 32 446 0.4× 285 0.4× 349 0.6× 65 0.3× 68 0.3× 123 3.4k
Ken Sharpe Australia 30 496 0.4× 434 0.6× 235 0.4× 598 2.7× 47 0.2× 77 3.0k
Keith Humphreys Sweden 30 613 0.5× 144 0.2× 352 0.6× 465 2.1× 591 3.0× 136 2.9k
Stacey S. Cofield United States 31 255 0.2× 595 0.9× 295 0.5× 62 0.3× 55 0.3× 81 3.2k

Countries citing papers authored by Peter J. Castaldi

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Castaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Castaldi. 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 Peter J. Castaldi. The network helps show where Peter J. Castaldi may publish in the future.

Co-authorship network of co-authors of Peter J. Castaldi

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Castaldi. A scholar is included among the top collaborators of Peter J. Castaldi 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 Peter J. Castaldi. Peter J. Castaldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lu, Senbao, Ziyang Gao, Ben T. Jordan, et al.. (2025). Biosurfer for systematic tracking of regulatory mechanisms leading to protein isoform diversity. Genome Research. 35(4). 1012–1024.
2.
Ziyatdinov, Andrey, Brian D. Hobbs, Matthew Moll, et al.. (2025). Identifying chronic obstructive pulmonary disease subtypes using multi-trait genetics. EBioMedicine. 113. 105609–105609. 1 indexed citations
3.
4.
Ryu, Min Hyung, Minxue Jia, Peter J. Castaldi, et al.. (2024). Development and validation of a mortality risk prediction model for chronic obstructive pulmonary disease: a cross-sectional study using probabilistic graphical modelling. EClinicalMedicine. 75. 102786–102786. 2 indexed citations
5.
Putcha, Nirupama, Trishul Siddharthan, Aaron Baugh, et al.. (2024). Call to Action: How Can We Promote the Development of New Pharmacologic Treatments in Chronic Obstructive Pulmonary Disease?. American Journal of Respiratory and Critical Care Medicine. 210(11). 1300–1307. 4 indexed citations
6.
Ryu, Min Hyung, Jeong H. Yun, Jarrett D. Morrow, et al.. (2023). Blood Gene Expression and Immune Cell Subtypes Associated with Chronic Obstructive Pulmonary Disease Exacerbations. American Journal of Respiratory and Critical Care Medicine. 208(3). 247–255. 13 indexed citations
7.
Gregory, Andrew, Zhonghui Xu, Sharon M. Lutz, et al.. (2023). Blood-based Transcriptomic and Proteomic Biomarkers of Emphysema. American Journal of Respiratory and Critical Care Medicine. 209(3). 273–287. 6 indexed citations
8.
Gregory, Andrew, Zhonghui Xu, Katherine Pratte, et al.. (2022). Clustering-based COPD subtypes have distinct longitudinal outcomes and multi-omics biomarkers. BMJ Open Respiratory Research. 9(1). e001182–e001182. 7 indexed citations
9.
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
10.
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
11.
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
12.
Morrow, Jarrett D., Peter J. Castaldi, Robert Chase, et al.. (2021). Peripheral blood microbial signatures in current and former smokers. Scientific Reports. 11(1). 19875–19875. 9 indexed citations
13.
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
14.
Regan, Elizabeth A., Craig P. Hersh, Peter J. Castaldi, et al.. (2019). Omics and the Search for Blood Biomarkers in Chronic Obstructive Pulmonary Disease. Insights from COPDGene. American Journal of Respiratory Cell and Molecular Biology. 61(2). 143–149. 52 indexed citations
15.
Ragland, M.F., Christopher J. Benway, Sharon M. Lutz, et al.. (2019). Genetic Advances in Chronic Obstructive Pulmonary Disease. Insights from COPDGene. American Journal of Respiratory and Critical Care Medicine. 200(6). 677–690. 60 indexed citations
16.
Bradford, Eric, Sean Jacobson, Alejandro P. Comellas, et al.. (2017). The value of blood cytokines and chemokines in assessing COPD. Respiratory Research. 18(1). 180–180. 82 indexed citations
17.
Chang, Yale, Junxiang Chen, Michael H. Cho, et al.. (2017). Clustering from Multiple Uncertain Experts. International Conference on Artificial Intelligence and Statistics. 28–36.
18.
Chang, Yale, Junxiang Chen, Michael H. Cho, et al.. (2017). Multiple Clustering Views from Multiple Uncertain Experts. International Conference on Machine Learning. 674–683. 3 indexed citations
19.
McInnes, Elizabeth, Sandy Middleton, Glenn Gardner, et al.. (2012). A qualitative study of stakeholder views of the conditions for and outcomes of successful clinical networks. SHILAP Revista de lepidopterología. 38 indexed citations
20.
Kitsios, Georgios D., Navdeep Tangri, Peter J. Castaldi, & John P. A. Ioannidis. (2010). Laboratory Mouse Models for the Human Genome-Wide Associations. PLoS ONE. 5(11). e13782–e13782. 20 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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