James C. Ross

7.2k total citations · 1 hit paper
93 papers, 2.9k citations indexed

About

James C. Ross is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, James C. Ross has authored 93 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Pulmonary and Respiratory Medicine, 17 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Physiology. Recurrent topics in James C. Ross's work include Chronic Obstructive Pulmonary Disease (COPD) Research (49 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Respiratory Support and Mechanisms (15 papers). James C. Ross is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (49 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Respiratory Support and Mechanisms (15 papers). James C. Ross collaborates with scholars based in United States, Chile and Spain. James C. Ross's co-authors include Raúl San Jośe Estépar, George R. Washko, Alejandro A. Díaz, Edwin K. Silverman, Hiroto Hatabu, David A. Lynch, Iván O. Rosas, Gary M. Hunninghake, Tsuneo Yamashiro and Farbod N. Rahaghi and has published in prestigious journals such as New England Journal of Medicine, Circulation and Journal of Clinical Oncology.

In The Last Decade

James C. Ross

86 papers receiving 2.9k 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.

Lung Volumes and Emphysema in Smokers with Interstitial Lung Abnormalities

2011 384 citations George R. Washko, Gary M. Hunninghake et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James C. Ross United States	30	2.1k	451	426	221	181	93	2.9k
Alejandro A. Díaz United States	33	2.8k 1.3×	418 0.9×	672 1.6×	169 0.8×	205 1.1×	117	3.4k
Arjun Nair United Kingdom	29	1.8k 0.9×	701 1.6×	273 0.6×	260 1.2×	256 1.4×	114	3.0k
Simonetta Monti Italy	29	1.2k 0.6×	482 1.1×	280 0.7×	470 2.1×	399 2.2×	63	2.8k
Alexander Cavallaro Germany	25	541 0.3×	699 1.5×	341 0.8×	338 1.5×	193 1.1×	95	2.5k
Massimo Pistolesi Italy	24	2.3k 1.1×	1.2k 2.6×	692 1.6×	359 1.6×	504 2.8×	69	4.0k
Brett A. Simon United States	30	1.6k 0.8×	435 1.0×	243 0.6×	456 2.1×	205 1.1×	105	3.2k
Michelle Noga Canada	24	894 0.4×	336 0.7×	193 0.5×	359 1.6×	344 1.9×	138	1.8k
G. Ferretti France	38	2.4k 1.1×	1.0k 2.2×	588 1.4×	1.2k 5.2×	351 1.9×	242	4.8k
Wim Vos Belgium	29	1.4k 0.7×	354 0.8×	880 2.1×	157 0.7×	26 0.1×	98	2.1k
Colleen J. Bergin United States	28	1.4k 0.7×	777 1.7×	198 0.5×	295 1.3×	269 1.5×	78	2.6k

Countries citing papers authored by James C. Ross

Since Specialization

Citations

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

Fields of papers citing papers by James C. Ross

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James C. Ross. 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 James C. Ross. The network helps show where James C. Ross may publish in the future.

Co-authorship network of co-authors of James C. Ross

This figure shows the co-authorship network connecting the top 25 collaborators of James C. Ross. A scholar is included among the top collaborators of James C. Ross 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 James C. Ross. James C. Ross 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

Non, Amy L., et al.. (2026). Disparities in lung function trajectories among tobacco-exposed individuals. Thorax. thorax–2025.

Ross, James C. & Tingting Zhao. (2025). bayes_traj: A Python package for Bayesian trajectory analysis. The Journal of Open Source Software. 10(108). 7323–7323. 1 indexed citations

Estépar, R. San José, et al.. (2025). Comparing AI-detected Versus Visually Detected Airway Mucus Plugs in Predicting Mortality and Exacerbations in COPD. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A7380–A7380.

Ross, James C., Raúl San Jośe Estépar, Samuel Y. Ash, et al.. (2024). Dysanapsis is differentially related to lung function trajectories with distinct structural and functional patterns in COPD and variable risk for adverse outcomes. EClinicalMedicine. 68. 102408–102408. 9 indexed citations

Díaz, Alejandro A., R. San José Estépar, Gonzalo Vegas‐Sánchez‐Ferrero, et al.. (2024). CNNs trained with adult data are useful in pediatrics. A pneumonia classification example. PLoS ONE. 19(7). e0306703–e0306703. 1 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.

Harder, Eileen M., Pietro Nardelli, James C. Ross, et al.. (2023). Automated CT-Based Quantification of Pulmonary Veins Shows Greater Central Venous Dilation in Group 2 Pulmonary Hypertension Compared With Group 1 Pulmonary Arterial Hypertension and Control Subjects. PubMed. 1(3). 100020–100020. 1 indexed citations

Díaz, Alejandro A., Wei Wang, W.R. Dolliver, et al.. (2023). Suspected Bronchiectasis and Mortality in Adults With a History of Smoking Who Have Normal and Impaired Lung Function. Annals of Internal Medicine. 176(10). 1340–1348. 4 indexed citations

Díaz, Alejandro A., Laura A. Colangelo, Yuka Okajima, et al.. (2021). Association between Cardiorespiratory Fitness and Bronchiectasis at CT: A Long-term Population-based Study of Healthy Young Adults Aged 18–30 Years in the CARDIA Study. Radiology. 300(1). 190–196. 1 indexed citations

10.

Nardelli, Pietro, James C. Ross, & Raúl San Jośe Estépar. (2020). Generative-based airway and vessel morphology quantification on chest CT images. Medical Image Analysis. 63. 101691–101691. 11 indexed citations

11.

Ash, Samuel Y., Farbod N. Rahaghi, Côme Camus, et al.. (2018). Pruning of the Pulmonary Vasculature in Asthma. The Severe Asthma Research Program (SARP) Cohort. American Journal of Respiratory and Critical Care Medicine. 198(1). 39–50. 38 indexed citations

12.

Ross, James C., Peter J. Castaldi, Michael H. Cho, et al.. (2018). Longitudinal Modeling of Lung Function Trajectories in Smokers with and without Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. 198(8). 1033–1042. 30 indexed citations

13.

González, Germán, Samuel Y. Ash, Gonzalo Vegas‐Sánchez‐Ferrero, et al.. (2017). Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography. American Journal of Respiratory and Critical Care Medicine. 197(2). 193–203. 193 indexed citations

14.

Araki, Tetsuro, Rachel K. Putman, Hiroto Hatabu, et al.. (2016). Development and Progression of Interstitial Lung Abnormalities in the Framingham Heart Study. American Journal of Respiratory and Critical Care Medicine. 194(12). 1514–1522. 206 indexed citations

15.

Ross, James C. & Jennifer Dy. (2013). Nonparametric Mixture of Gaussian Processes with Constraints. International Conference on Machine Learning. 1346–1354. 34 indexed citations

16.

Estépar, Raúl San Jośe, Gregory L. Kinney, Jennifer L. Black‐Shinn, et al.. (2013). Computed Tomographic Measures of Pulmonary Vascular Morphology in Smokers and Their Clinical Implications. American Journal of Respiratory and Critical Care Medicine. 188(2). 231–239. 170 indexed citations

17.

Estépar, Raúl San Jośe, et al.. (2012). Computational vascular morphometry for the assessment of pulmonary vascular disease based on scale-space particles. Europe PMC (PubMed Central). 1479–1482. 36 indexed citations

18.

Yamashiro, Tsuneo, Shin Matsuoka, Raúl San Jośe Estépar, et al.. (2011). Kurtosis and Skewness of Density Histograms on Inspiratory and Expiratory CT Scans in Smokers. COPD Journal of Chronic Obstructive Pulmonary Disease. 8(1). 13–20. 24 indexed citations

19.

Risholm, Petter, James C. Ross, George R. Washko, & William M. Wells. (2011). Probabilistic Elastography: Estimating Lung Elasticity. Lecture notes in computer science. 22. 699–710. 15 indexed citations

20.

Ross, James C., Raúl San Jośe Estépar, Alejandro A. Díaz, et al.. (2009). Lung Extraction, Lobe Segmentation and Hierarchical Region Assessment for Quantitative Analysis on High Resolution Computed Tomography Images. Lecture notes in computer science. 12(Pt 2). 690–698. 54 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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