Jamie Sheth

597 total citations
9 papers, 347 citations indexed

About

Jamie Sheth is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jamie Sheth has authored 9 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 3 papers in Physiology and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Jamie Sheth's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), Medical Imaging and Pathology Studies (3 papers) and Occupational and environmental lung diseases (2 papers). Jamie Sheth is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), Medical Imaging and Pathology Studies (3 papers) and Occupational and environmental lung diseases (2 papers). Jamie Sheth collaborates with scholars based in United States, Italy and Australia. Jamie Sheth's co-authors include Susan Murray, Eric S. White, Kevin R. Flaherty, Ella A. Kazerooni, Amir Lagstein, Margaret L. Salisbury, Colin Holtze, Fernando J. Martínez, Elizabeth A. Belloli and Mohamed Sayyouh and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, CHEST Journal and European Respiratory Journal.

In The Last Decade

Jamie Sheth

9 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jamie Sheth United States	5	338	123	82	32	23	9	347
Olga Tourin Canada	4	253 0.7×	75 0.6×	111 1.4×	22 0.7×	28 1.2×	5	268
А. A. Vizel Russia	6	132 0.4×	131 1.1×	13 0.2×	33 1.0×	10 0.4×	81	178
Kentaro Watai Japan	9	140 0.4×	205 1.7×	10 0.1×	7 0.2×	39 1.7×	34	310
Rolandas Zablockis Lithuania	7	59 0.2×	44 0.4×	15 0.2×	27 0.8×	5 0.2×	31	128
Roberto Saad Brazil	8	114 0.3×	36 0.3×	14 0.2×	23 0.7×	4 0.2×	35	219
Nader Chebib France	8	95 0.3×	36 0.3×	7 0.1×	36 1.1×	6 0.3×	17	163
Andrew Barros United States	7	75 0.2×	23 0.2×	13 0.2×	46 1.4×	2 0.1×	24	152
Antonio Urda Spain	8	41 0.1×	80 0.7×	12 0.1×	37 1.2×	61 2.7×	17	373
Sanjeevan Muruganandan Australia	9	213 0.6×	21 0.2×	8 0.1×	13 0.4×	5 0.2×	35	259
Enver Yalnız Türkiye	6	69 0.2×	19 0.2×	5 0.1×	32 1.0×	5 0.2×	33	140

Countries citing papers authored by Jamie Sheth

Since Specialization

Citations

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

Fields of papers citing papers by Jamie Sheth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie Sheth. 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 Jamie Sheth. The network helps show where Jamie Sheth may publish in the future.

Co-authorship network of co-authors of Jamie Sheth

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

All Works

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9 of 9 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

Adegunsoye, Ayodeji, Janelle Vu Pugashetti, Susan Murray, et al.. (2025). A Quantitative Imaging Measure of Progressive Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A7682–A7682. 1 indexed citations

Danoff, Sonye K., Anne‐Marie Russell, Christopher J. Ryerson, et al.. (2021). Patient-centered Outcomes Research in Interstitial Lung Disease: An Official American Thoracic Society Research Statement. American Journal of Respiratory and Critical Care Medicine. 204(2). e3–e23. 54 indexed citations

Sheth, Jamie, Meng Xia, Susan Murray, et al.. (2019). Frailty and geriatric conditions in older patients with idiopathic pulmonary fibrosis. Respiratory Medicine. 148. 6–12. 30 indexed citations

Salisbury, Margaret L., Jamie Sheth, Colin Holtze, et al.. (2019). Impact of comorbidities in interstitial pneumonia with autoimmune features (IPAF). PA1303–PA1303. 2 indexed citations

Xia, Meng, Susan Murray, Elizabeth A. Belloli, et al.. (2019). Health Related Quality of Life and Biomarker Levels in Patients with Idiopathic Pulmonary Fibrosis. A7145–A7145. 1 indexed citations

Salisbury, Margaret L., Tian Gu, Susan Murray, et al.. (2018). Hypersensitivity Pneumonitis. CHEST Journal. 155(4). 699–711. 145 indexed citations

Salisbury, Margaret L., Barry H. Gross, Aamer Chughtai, et al.. (2018). Development and validation of a radiological diagnosis model for hypersensitivity pneumonitis. European Respiratory Journal. 52(2). 1800443–1800443. 52 indexed citations

Sheth, Jamie, John A. Belperio, Michael C. Fishbein, et al.. (2016). Utility of Transbronchial vs Surgical Lung Biopsy in the Diagnosis of Suspected Fibrotic Interstitial Lung Disease. CHEST Journal. 151(2). 389–399. 61 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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