Jonathan H. Chung

11.9k total citations · 2 hit papers
170 papers, 4.6k citations indexed

About

Jonathan H. Chung is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jonathan H. Chung has authored 170 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Pulmonary and Respiratory Medicine, 39 papers in Physiology and 30 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jonathan H. Chung's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (80 papers), Medical Imaging and Pathology Studies (42 papers) and Sarcoidosis and Beryllium Toxicity Research (30 papers). Jonathan H. Chung is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (80 papers), Medical Imaging and Pathology Studies (42 papers) and Sarcoidosis and Beryllium Toxicity Research (30 papers). Jonathan H. Chung collaborates with scholars based in United States, Germany and Japan. Jonathan H. Chung's co-authors include Jeffrey P. Kanne, Sanjeev Bhalla, Suhny Abbara, Travis S. Henry, Seth Kligerman, Fernando Uliana Kay, Michael Chung, Jane P. Ko, Harold Litt and Scott Simpson and has published in prestigious journals such as Journal of the American Chemical Society, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Jonathan H. Chung

161 papers receiving 4.5k 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.

Radiological Society of North America Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA - Secondary Publication

2020 554 citations Jonathan H. Chung, Jeffrey P. Kanne et al. Journal of Thoracic Imaging profile →
Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19: Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA

2020 490 citations Jonathan H. Chung, Jeffrey P. Kanne et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan H. Chung United States	31	2.9k	1.2k	985	742	720	170	4.6k
Catherine Beigelman‐Aubry France	33	1.9k 0.7×	653 0.5×	458 0.5×	1.0k 1.4×	858 1.2×	160	4.0k
W. Richard Webb United States	44	5.4k 1.9×	1.4k 1.2×	966 1.0×	998 1.3×	296 0.4×	132	7.2k
N L Müller Canada	34	3.0k 1.0×	948 0.8×	641 0.7×	436 0.6×	286 0.4×	52	4.2k
Maurizio Zompatori Italy	34	2.8k 1.0×	660 0.5×	605 0.6×	469 0.6×	128 0.2×	251	4.2k
Anand Devaraj United Kingdom	26	2.5k 0.8×	383 0.3×	585 0.6×	471 0.6×	414 0.6×	73	3.2k
Udaya B. S. Prakash United States	42	3.9k 1.3×	514 0.4×	792 0.8×	905 1.2×	354 0.5×	169	5.7k
Travis S. Henry United States	26	1.5k 0.5×	1.4k 1.1×	402 0.4×	382 0.5×	848 1.2×	101	3.5k
Simon Padley United Kingdom	32	2.4k 0.8×	640 0.5×	357 0.4×	640 0.9×	289 0.4×	139	3.7k
Sanjeev Bhalla United States	38	1.9k 0.6×	1.5k 1.2×	265 0.3×	767 1.0×	980 1.4×	197	5.4k
Sujal R. Desai United Kingdom	38	4.7k 1.6×	272 0.2×	1.3k 1.3×	1.2k 1.7×	665 0.9×	124	6.1k

Countries citing papers authored by Jonathan H. Chung

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan H. Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan H. Chung

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

Wang, Jennifer M., Ayodeji Adegunsoye, Janelle Vu Pugashetti, et al.. (2025). A Quantitative Imaging Measure of Progressive Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 211(10). 1785–1793. 1 indexed citations

Chung, Jonathan H., Christopher M. Walker, Lydia Chelala, & Jeffrey P. Kanne. (2025). Misleading Model: Why the 5% Cancer Risk from Computed Tomography Scans Is Overstated. American Journal of Respiratory and Critical Care Medicine. 211(11). 1999–2000.

Park, Joo-Heon, et al.. (2024). Beyond RTS,S malaria vaccine piloting to adoption and historic introduction in sub-Saharan Africa: a new hope in the fight against the vector-borne disease. SHILAP Revista de lepidopterología. 5. 1 indexed citations

Humphries, Stephen M., David Baraghoshi, Matthew Strand, et al.. (2024). Deep Learning Classification of Usual Interstitial Pneumonia Predicts Outcomes. American Journal of Respiratory and Critical Care Medicine. 209(9). 1121–1131. 18 indexed citations

Mirza, Reza, Marcy B. Bolster, Sindhu R. Johnson, et al.. (2024). Assessing Patient Values and Preferences to Inform the 2023 American College of Rheumatology/American College of Chest Physicians Interstitial Lung Disease Guidelines. Arthritis Care & Research. 76(8). 1083–1089. 2 indexed citations

Chelala, Lydia, et al.. (2023). Occupational Lung Diseases: Spectrum of Common Imaging Manifestations. Korean Journal of Radiology. 24(8). 795–795. 6 indexed citations

Bang, Tami J., Jonathan H. Chung, Christopher M. Walker, et al.. (2023). ACR Appropriateness Criteria® Routine Chest Imaging. Journal of the American College of Radiology. 20(5). S224–S233. 3 indexed citations

Bridge, Christopher P., Till D. Best, Maria Wróbel, et al.. (2022). A Fully Automated Deep Learning Pipeline for Multi–Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans. Radiology Artificial Intelligence. 4(1). e210080–e210080. 27 indexed citations

Chelala, Lydia, et al.. (2022). Updated Imaging Classification of Hypersensitivity Pneumonitis. Radiologic Clinics of North America. 60(6). 901–913. 3 indexed citations

10.

Chung, Jonathan H., Christopher M. Walker, & Stephen Hobbs. (2020). Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease. Journal of Visualized Experiments. 10 indexed citations

11.

Hirai, Taishi, Anthony V. Serritella, Stephanie A. Besser, et al.. (2019). Performance of the right ventricular outflow tract/aortic diameter as a novel predictor of risk in patients with acute pulmonary embolism. Journal of Thrombosis and Thrombolysis. 50(1). 165–173. 4 indexed citations

12.

Adegunsoye, Ayodeji, Justin M. Oldham, Catherine A. Bonham, et al.. (2018). Prognosticating Outcomes in Interstitial Lung Disease by Mediastinal Lymph Node Assessment. An Observational Cohort Study with Independent Validation. American Journal of Respiratory and Critical Care Medicine. 199(6). 747–759. 27 indexed citations

13.

Yunt, Zulma X., Jonathan H. Chung, Stephen Hobbs, et al.. (2017). High resolution computed tomography pattern of usual interstitial pneumonia in rheumatoid arthritis-associated interstitial lung disease: Relationship to survival. Respiratory Medicine. 126. 100–104. 84 indexed citations

14.

Chung, Jonathan H., Steven M. Montner, Ayodeji Adegunsoye, et al.. (2017). CT findings associated with survival in chronic hypersensitivity pneumonitis. European Radiology. 27(12). 5127–5135. 40 indexed citations

15.

Chung, Jonathan H., Jeffrey J. Swigris, Joshua J. Solomon, et al.. (2016). Clinical Predictors of a Diagnosis of Common Variable Immunodeficiency-related Granulomatous-Lymphocytic Interstitial Lung Disease. Annals of the American Thoracic Society. 13(7). 1042–1049. 43 indexed citations

16.

Chung, Jonathan H., Gwen A. Huitt, Kunihiro Yagihashi, et al.. (2015). Proton Magnetic Resonance Imaging for Initial Assessment of Isolated Mycobacterium avium Complex Pneumonia. Annals of the American Thoracic Society. 13(1). 49–57. 10 indexed citations

17.

Carr, Laurie L., Jonathan H. Chung, Rosane Duarte Achcar, et al.. (2014). The Clinical Course of Diffuse Idiopathic Pulmonary Neuroendocrine Cell Hyperplasia. CHEST Journal. 147(2). 415–422. 53 indexed citations

18.

Sirajuddin, Arlene, et al.. (2013). Review of the International Association for the Study of Lung Cancer Lymph Node Classification System. Clinics in Chest Medicine. 34(3). 353–363. 4 indexed citations

19.

Chung, Jonathan H., Amita Sharma, Mari Mino–Kenudson, et al.. (2010). Amyloidosis Presenting as Pulmonary Infarcts. Journal of Thoracic Imaging. 25(4). W138–W140. 2 indexed citations

20.

Chung, Jonathan H., et al.. (2009). Overnight Resident Interpretation of Torso CT at a Level 1 Trauma Center. Academic Radiology. 16(9). 1155–1160. 66 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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