Michael Muelly

707 total citations
13 papers, 258 citations indexed

About

Michael Muelly is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Michael Muelly has authored 13 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Physiology. Recurrent topics in Michael Muelly's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Occupational and environmental lung diseases (4 papers). Michael Muelly is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Occupational and environmental lung diseases (4 papers). Michael Muelly collaborates with scholars based in United States, France and Canada. Michael Muelly's co-authors include Moritz Hardt, Justin Gilmer, Julius Adebayo, Ian Goodfellow, Been Kim, Joshua Reicher, Manoj V. Maddali, Ayodeji Adegunsoye, Andrea Jonas and Marcello Chang and has published in prestigious journals such as CHEST Journal, The American Journal of the Medical Sciences and Respiratory Medicine.

In The Last Decade

Michael Muelly

12 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Muelly United States	5	167	51	47	40	23	13	258
Alina Jade Barnett United States	5	188 1.1×	55 1.1×	14 0.3×	54 1.4×	11 0.5×	10	240
Jake Cobb United States	7	99 0.6×	34 0.7×	16 0.3×	56 1.4×	20 0.9×	9	279
Ruining Deng United States	10	152 0.9×	128 2.5×	39 0.8×	98 2.5×	26 1.1×	42	302
Qiwei Feng Canada	3	119 0.7×	88 1.7×	20 0.4×	87 2.2×	24 1.0×	8	258
Richard Osuala Spain	6	96 0.6×	48 0.9×	21 0.4×	96 2.4×	6 0.3×	12	175
Julio Silva-Rodríguez Spain	8	171 1.0×	84 1.6×	31 0.7×	105 2.6×	18 0.8×	14	220
Zhaoyang Xu China	6	164 1.0×	66 1.3×	15 0.3×	133 3.3×	27 1.2×	16	221
Jesper Molin Sweden	8	242 1.4×	68 1.3×	27 0.6×	123 3.1×	63 2.7×	18	318
Mason McGough United States	3	151 0.9×	55 1.1×	19 0.4×	84 2.1×	28 1.2×	4	196

Countries citing papers authored by Michael Muelly

Since Specialization

Citations

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

Fields of papers citing papers by Michael Muelly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Muelly

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

All Works

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13 of 13 papers shown

Callahan, Sean J., et al.. (2025). Multi-modal machine learning classifier for idiopathic pulmonary fibrosis predicts mortality in interstitial lung diseases. Respiratory Investigation. 63(5). 1012–1017. 1 indexed citations

Bradley, James, et al.. (2025). ScreenDx, an artificial intelligence-based algorithm for the incidental detection of pulmonary fibrosis. The American Journal of the Medical Sciences. 369(6). 705–711.

Moran‐Mendoza, Onofre, et al.. (2024). Computed tomography machine learning classifier correlates with mortality in interstitial lung disease. Respiratory Investigation. 62(4). 670–676. 2 indexed citations

Mooney, Joshua J., et al.. (2024). A Machine Learning System to Indicate Diagnosis of Idiopathic Pulmonary Fibrosis Non-Invasively in Challenging Cases. Diagnostics. 14(8). 830–830. 8 indexed citations

Chang, Marcello, et al.. (2024). Analysis of Validation Performance of a Machine Learning Classifier in Interstitial Lung Disease Cases Without Definite or Probable Usual Interstitial Pneumonia Pattern on CT Using Clinical and Pathology-Supported Diagnostic Labels. Journal of Imaging Informatics in Medicine. 37(1). 297–307. 6 indexed citations

Reicher, Joshua, et al.. (2024). Machine learning classifier is associated with mortality in interstitial lung disease: a retrospective validation study leveraging registry data. BMC Pulmonary Medicine. 24(1). 254–254. 3 indexed citations

Maddali, Manoj V., et al.. (2023). Development and validation of a CT-based deep learning algorithm to augment non-invasive diagnosis of idiopathic pulmonary fibrosis. Respiratory Medicine. 219. 107428–107428. 16 indexed citations

Muelly, Michael, et al.. (2023). ARTIFICIAL INTELLIGENCE IN INCIDENTAL DETECTION OF LUNG FIBROSIS BY COMPUTED TOMOGRAPHY. CHEST Journal. 164(4). A3085–A3086. 1 indexed citations

Reicher, Joshua, et al.. (2023). Computer-Aided Pulmonary Fibrosis Detection Leveraging an Advanced Artificial Intelligence Triage and Notification Software. Journal of Clinical Medicine Research. 15(8-9). 423–429. 7 indexed citations

10.

Mooney, Joshua J., et al.. (2023). A Machine Learning System to Predict Diagnosis of Idiopathic Pulmonary Fibrosis Non-Invasively in Challenging Cases. SSRN Electronic Journal. 2 indexed citations

11.

Jonas, Andrea, Michael Muelly, Nishant Gupta, & Joshua Reicher. (2022). Machine learning to distinguish lymphangioleiomyomatosis from other diffuse cystic lung diseases. Respiratory Investigation. 60(3). 430–433. 4 indexed citations

12.

Adebayo, Julius, Justin Gilmer, Michael Muelly, et al.. (2018). Sanity Checks for Saliency Maps. arXiv (Cornell University). 31. 9505–9515. 206 indexed citations

13.

Muelly, Michael, et al.. (2016). Creation of an iOS and Android Mobile Application for Inferior Vena Cava (IVC) Filters: A Powerful Tool to Optimize Care of Patients with IVC Filters. Seminars in Interventional Radiology. 33(2). 137–143. 2 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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