Simon Walsh

13.1k total citations · 2 hit papers
90 papers, 4.2k citations indexed

About

Simon Walsh is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Simon Walsh has authored 90 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Pulmonary and Respiratory Medicine, 26 papers in Physiology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Simon Walsh's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (62 papers), Medical Imaging and Pathology Studies (26 papers) and Sarcoidosis and Beryllium Toxicity Research (25 papers). Simon Walsh is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (62 papers), Medical Imaging and Pathology Studies (26 papers) and Sarcoidosis and Beryllium Toxicity Research (25 papers). Simon Walsh collaborates with scholars based in United Kingdom, United States and Italy. Simon Walsh's co-authors include Athol U. Wells, David M. Hansell, Vincent Cottin, Luca Richeldi, Kevin K. Brown, Rozsa Schlenker‐Herceg, Emmanuelle Clerisme-Beaty, Rainer-Georg Goeldner, Yoshikazu Inoue and Anand Devaraj and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Simon Walsh

79 papers receiving 4.1k citations

Hit Papers

Nintedanib in Progressive Fibrosing Interstitial Lung Dis... 2017 2026 2020 2023 2019 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Walsh United Kingdom 28 3.7k 1.5k 666 491 412 90 4.2k
Anand Devaraj United Kingdom 26 2.5k 0.7× 585 0.4× 849 1.3× 471 1.0× 119 0.3× 73 3.2k
Robert Sussman United States 12 2.9k 0.8× 780 0.5× 214 0.3× 309 0.6× 228 0.6× 20 3.3k
Paolo Cameli Italy 27 1.4k 0.4× 719 0.5× 89 0.1× 241 0.5× 163 0.4× 162 2.3k
Oksana A. Shlobin United States 33 2.6k 0.7× 755 0.5× 108 0.2× 411 0.8× 92 0.2× 131 3.2k
Gábor Kovács Austria 39 3.4k 0.9× 172 0.1× 353 0.5× 469 1.0× 137 0.3× 133 4.4k
Edward S. Chen United States 24 1.4k 0.4× 1.6k 1.1× 43 0.1× 477 1.0× 149 0.4× 53 2.3k
Julien Guiot Belgium 26 1.1k 0.3× 259 0.2× 245 0.4× 228 0.5× 78 0.2× 111 2.2k
Julia Flint United Kingdom 25 849 0.2× 230 0.2× 131 0.2× 307 0.6× 415 1.0× 49 2.0k
Francesca Rovera Italy 31 791 0.2× 427 0.3× 344 0.5× 274 0.6× 101 0.2× 162 3.3k
Elizabeth Rajan United States 48 3.2k 0.9× 260 0.2× 222 0.3× 785 1.6× 100 0.2× 218 7.2k

Countries citing papers authored by Simon Walsh

Since Specialization
Citations

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

Fields of papers citing papers by Simon Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Walsh

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Walsh. A scholar is included among the top collaborators of Simon Walsh 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 Simon Walsh. Simon Walsh 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.
Jiang, Caiwen, Nan Yang, Yingying Fang, et al.. (2025). A lung structure and function information-guided residual diffusion model for predicting idiopathic pulmonary fibrosis progression. Medical Image Analysis. 103. 103604–103604.
2.
Yang, Nan, Francesco Federico, Stephen M. Humphries, et al.. (2025). Prognostication in patients with idiopathic pulmonary fibrosis using quantitative airway analysis from HRCT: a retrospective study. European Respiratory Journal. 66(4). 2500981–2500981.
3.
Li, Yang, et al.. (2024). SOCR‐YOLO: Small Objects Detection Algorithm in Medical Images. International Journal of Imaging Systems and Technology. 34(4). 3 indexed citations
4.
Wells, Athol U., Simon Walsh, Ayodeji Adegunsoye, et al.. (2024). Identification of progressive pulmonary fibrosis: consensus findings from a modified Delphi study. Respiratory Research. 25(1). 448–448. 3 indexed citations
5.
Walsh, Simon, Jan De Backer, Helmut Prosch, et al.. (2024). Towards the adoption of quantitative computed tomography in the management of interstitial lung disease. European Respiratory Review. 33(171). 230055–230055. 13 indexed citations
6.
Zhang, Sheng, Yingying Fang, Nan Yang, et al.. (2024). Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation. IEEE Transactions on Fuzzy Systems. 32(10). 5462–5476. 3 indexed citations
7.
Behr, Jürgen, Margaret L. Salisbury, Simon Walsh, et al.. (2024). The Role of Inflammation and Fibrosis in Interstitial Lung Disease Treatment Decisions. American Journal of Respiratory and Critical Care Medicine. 210(4). 392–400. 11 indexed citations
8.
Richeldi, Luca, Courtney Schiffman, Jürgen Behr, et al.. (2024). Zinpentraxin Alfa for Idiopathic Pulmonary Fibrosis: The Randomized Phase III STARSCAPE Trial. American Journal of Respiratory and Critical Care Medicine. 209(9). 1132–1140. 17 indexed citations
9.
Walsh, Simon, Nan Yang, Stephen M. Humphries, et al.. (2024). Utilising 3 Deep Learning Models for Outcome Prediction in Patients With Idiopathic Pulmonary Fibrosis. A5083–A5083.
11.
Yang, Nan, Javier Del Ser, Peng Tang, et al.. (2023). Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7391–7404. 26 indexed citations
12.
Kim, John S., Sydney B. Montesi, Ayodeji Adegunsoye, et al.. (2023). Approach to Clinical Trials for the Prevention of Pulmonary Fibrosis. Annals of the American Thoracic Society. 20(12). 1683–1693. 1 indexed citations
14.
Fang, Yingying, et al.. (2022). Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(1). 26–35. 15 indexed citations
15.
Flaherty, Kevin R., Athol U. Wells, Vincent Cottin, et al.. (2021). Nintedanib in progressive interstitial lung diseases: data from the whole INBUILD trial. European Respiratory Journal. 59(3). 2004538–2004538. 65 indexed citations
17.
Flaherty, Kevin R., Athol U. Wells, Vincent Cottin, et al.. (2019). Nintedanib in Progressive Fibrosing Interstitial Lung Diseases. New England Journal of Medicine. 381(18). 1718–1727. 1333 indexed citations breakdown →
18.
Keir, Gregory J., Stephen J. Wort, Maria Kokosi, et al.. (2018). Pulmonary hypertension in interstitial lung disease: Limitations of echocardiography compared to cardiac catheterization. Respirology. 23(7). 687–694. 45 indexed citations
19.
Walsh, Simon, et al.. (2011). High-resolution CT of complications of idiopathic fibrotic lung disease. British Journal of Radiology. 84(1003). 581–592. 28 indexed citations
20.
Walsh, Simon, et al.. (2011). Image Quality of Computed Tomographic Pulmonary Angiography for Suspected Pulmonary Embolus in Patients With Diffuse Interstitial Lung Disease. Journal of Thoracic Imaging. 27(3). 156–163. 1 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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