Ryan Clay

1.2k total citations · 1 hit paper
32 papers, 822 citations indexed

About

Ryan Clay is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Ryan Clay has authored 32 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Surgery. Recurrent topics in Ryan Clay's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Ryan Clay is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Ryan Clay collaborates with scholars based in United States, United Kingdom and China. Ryan Clay's co-authors include Paul D. Scanlon, Shireen Mirza, Matthew Koslow, E. M. Darmady, Margaret R. Hawkins, John Burston, Tobias Peikert, Brian J. Bartholmai, Lingtao Jin and Larisa G. Tereshchenko and has published in prestigious journals such as The Lancet, PLoS ONE and Scientific Reports.

In The Last Decade

Ryan Clay

27 papers receiving 773 citations

Hit Papers

COPD Guidelines: A Review of the 2018 GOLD Report 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Clay United States 12 402 167 142 128 90 32 822
Xuemei Ou China 17 307 0.8× 274 1.6× 157 1.1× 115 0.9× 51 0.6× 34 944
Saurabh Mittal India 16 380 0.9× 122 0.7× 106 0.7× 66 0.5× 34 0.4× 119 880
Noriaki Takabatake Japan 20 673 1.7× 207 1.2× 383 2.7× 61 0.5× 47 0.5× 39 1.4k
Kenichi Maruyama Japan 19 232 0.6× 159 1.0× 113 0.8× 48 0.4× 35 0.4× 76 1.0k
Francesca Cardella Italy 14 228 0.6× 98 0.6× 115 0.8× 67 0.5× 82 0.9× 37 935
Maria Majori Italy 18 812 2.0× 128 0.8× 443 3.1× 69 0.5× 84 0.9× 46 1.3k
Benjamin Garfield United Kingdom 12 257 0.6× 132 0.8× 166 1.2× 22 0.2× 55 0.6× 26 686
Kyu-Hyung Ryu South Korea 19 191 0.5× 125 0.7× 120 0.8× 59 0.5× 20 0.2× 65 1.2k
Francesco Salton Italy 20 1.0k 2.5× 265 1.6× 225 1.6× 72 0.6× 75 0.8× 81 1.6k
Debby Thomas Belgium 17 271 0.7× 113 0.7× 79 0.6× 26 0.2× 31 0.3× 52 769

Countries citing papers authored by Ryan Clay

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Clay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Clay

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Clay. A scholar is included among the top collaborators of Ryan Clay 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 Ryan Clay. Ryan Clay 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.
Clay, Ryan, et al.. (2025). Metabolic Signaling in the Tumor Microenvironment. Cancers. 17(1). 155–155. 7 indexed citations
2.
Clay, Ryan, et al.. (2023). α-Tocopherol reduces VLDL secretion through modulation of intracellular ER-to-Golgi transport of VLDL. Canadian Journal of Physiology and Pharmacology. 101(11). 554–564.
3.
Khan, Akram, Ryan Clay, Asha Singh, Chitra Lal, & Larisa G. Tereshchenko. (2022). Ventricular Arrhythmias in Patients with Implanted Cardiac Devices at High Risk of Obstructive Sleep Apnea. Medicina. 58(6). 757–757. 2 indexed citations
4.
Yin, Xiaozhe, Wenfeng Zeng, Bowen Wu, et al.. (2020). PPARα Inhibition Overcomes Tumor-Derived Exosomal Lipid-Induced Dendritic Cell Dysfunction. Cell Reports. 33(3). 108278–108278. 131 indexed citations
5.
Nakajima, Erica C., Tucker F. Johnson, Sanja Antic, et al.. (2018). Assessing the inter-observer variability of Computer-Aided Nodule Assessment and Risk Yield (CANARY) to characterize lung adenocarcinomas. PLoS ONE. 13(6). e0198118–e0198118. 10 indexed citations
6.
Mirza, Shireen, Ryan Clay, Matthew Koslow, & Paul D. Scanlon. (2018). COPD Guidelines: A Review of the 2018 GOLD Report. Mayo Clinic Proceedings. 93(10). 1488–1502. 318 indexed citations breakdown →
7.
Peikert, Tobias, Fenghai Duan, Srinivasan Rajagopalan, et al.. (2018). Novel high-resolution computed tomography-based radiomic classifier for screen-identified pulmonary nodules in the National Lung Screening Trial. PLoS ONE. 13(5). e0196910–e0196910. 37 indexed citations
8.
Zhang, Xiaoming, Boran Zhou, Ryan Clay, et al.. (2018). Lung ultrasound surface wave elastography for assessing interstitial lung disease. The Journal of the Acoustical Society of America. 143(3_Supplement). 1776–1776. 7 indexed citations
9.
Clay, Ryan & James P. Utz. (2018). Coital Hemoptysis Due to Cardiac AL Amyloidosis. Mayo Clinic Proceedings. 93(6). 811–812. 2 indexed citations
10.
Clay, Ryan, Srinivasan Rajagopalan, Ronald A. Karwoski, et al.. (2018). Computer Aided Nodule Analysis and Risk Yield (CANARY) characterization of adenocarcinoma: radiologic biopsy, risk stratification and future directions. Translational Lung Cancer Research. 7(3). 313–326. 13 indexed citations
11.
Clay, Ryan, Vivek Iyer, Dereddi Raja Reddy, Brittany L. Siontis, & Paul D. Scanlon. (2017). The “Complex Restrictive” Pulmonary Function Pattern. CHEST Journal. 152(6). 1258–1265. 20 indexed citations
12.
Clay, Ryan, Benjamin R. Kipp, Sarah M. Jenkins, et al.. (2017). Computer-Aided Nodule Assessment and Risk Yield (CANARY) may facilitate non-invasive prediction of EGFR mutation status in lung adenocarcinomas. Scientific Reports. 7(1). 17620–17620. 15 indexed citations
13.
Clay, Ryan, David E. Midthun, John J. Mullon, & A.I. Saeed. (2016). Incidental Life-Threatening Diagnosis During Endobronchial Ultrasound Bronchoscopy. Journal of Bronchology & Interventional Pulmonology. 23(4). 316–318.
14.
Mayko, Zachary M., et al.. (2016). Descemet Membrane Endothelial Keratoplasty (DMEK) Tissue Preparation. Cornea. 35(7). 927–931. 16 indexed citations
15.
Clay, Ryan, et al.. (2016). Teaching the internist to see: effectiveness of a 1-day workshop in bedside ultrasound for internal medicine residents. Critical Ultrasound Journal. 8(1). 11–11. 27 indexed citations
16.
Clay, Ryan, et al.. (2014). A Systematic Review of the Association between Obstructive Sleep Apnea and Ventricular Arrhythmias. Journal of Clinical Sleep Medicine. 10(10). 1155–1160. 49 indexed citations
17.
Clay, Ryan. (1996). Global agreement on alternative testing.. Environmental Health Perspectives. 104(6). 612–614. 3 indexed citations
18.
Watt, J, M H Fraser, B M Soni, P Sett, & Ryan Clay. (1996). Total i.v. anaesthesia for transcranial magnetic evoked potential spinal cord monitoring. British Journal of Anaesthesia. 76(6). 870–871. 11 indexed citations
19.
Clay, Ryan. (1995). Environment & economics. Partners in progress.. Environmental Health Perspectives. 103(1). 26–29. 1 indexed citations
20.
Pecker, J, et al.. (1955). [Semeiologic and evolutive comparison of thrombosis of the internal carotid artery and of the trunc of the left Sylvian artery (based on 25 cases)].. PubMed. 1(3). 283–6. 3 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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