Michael W. Sjoding

4.5k total citations
93 papers, 2.5k citations indexed

About

Michael W. Sjoding is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Emergency Medicine. According to data from OpenAlex, Michael W. Sjoding has authored 93 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Pulmonary and Respiratory Medicine, 34 papers in Epidemiology and 27 papers in Emergency Medicine. Recurrent topics in Michael W. Sjoding's work include Respiratory Support and Mechanisms (33 papers), Sepsis Diagnosis and Treatment (29 papers) and Intensive Care Unit Cognitive Disorders (15 papers). Michael W. Sjoding is often cited by papers focused on Respiratory Support and Mechanisms (33 papers), Sepsis Diagnosis and Treatment (29 papers) and Intensive Care Unit Cognitive Disorders (15 papers). Michael W. Sjoding collaborates with scholars based in United States, Australia and Canada. Michael W. Sjoding's co-authors include Theodore J. Iwashyna, Colin R. Cooke, Thomas S. Valley, Hallie C. Prescott, Robert P. Dickson, Jenna Wiens, Ivan Co, Nicole R. Falkowski, Brahmajee K. Nallamothu and Dru Claar and has published in prestigious journals such as JAMA, Nature Medicine and PLoS ONE.

In The Last Decade

Michael W. Sjoding

91 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael W. Sjoding United States	30	797	794	475	429	296	93	2.5k
Steffen Christensen Denmark	33	699 0.9×	857 1.1×	299 0.6×	528 1.2×	267 0.9×	123	4.2k
F. Perry Wilson United States	40	1.6k 2.1×	740 0.9×	414 0.9×	419 1.0×	244 0.8×	181	5.8k
Paul Elbers Netherlands	27	457 0.6×	843 1.1×	680 1.4×	305 0.7×	172 0.6×	115	2.8k
David J. Murphy United States	19	377 0.5×	1.2k 1.6×	656 1.4×	322 0.8×	93 0.3×	56	2.5k
Philippe Jouvet Canada	36	1.7k 2.1×	720 0.9×	587 1.2×	631 1.5×	241 0.8×	207	4.1k
Rahul Kashyap United States	37	1.1k 1.4×	1.4k 1.8×	959 2.0×	788 1.8×	191 0.6×	287	4.9k
Shannon M. Fernando Canada	31	447 0.6×	771 1.0×	592 1.2×	882 2.1×	499 1.7×	132	2.9k
Bradford D. Winters United States	25	391 0.5×	1.1k 1.4×	568 1.2×	723 1.7×	158 0.5×	57	3.6k
Melissa Saul United States	40	884 1.1×	1.3k 1.7×	496 1.0×	265 0.6×	89 0.3×	145	5.5k
Michael A. Puskarich United States	31	371 0.5×	1.7k 2.1×	631 1.3×	653 1.5×	169 0.6×	117	3.2k

Countries citing papers authored by Michael W. Sjoding

Since Specialization

Citations

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

Fields of papers citing papers by Michael W. Sjoding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael W. Sjoding

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Sjoding. A scholar is included among the top collaborators of Michael W. Sjoding 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 W. Sjoding. Michael W. Sjoding 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

Chanderraj, Rishi, Nicole R. Falkowski, Robert J. Woods, et al.. (2025). Antianaerobic Antibiotics, Gut Microbiota, and Sepsis-associated Acute Kidney Injury. American Journal of Respiratory and Critical Care Medicine. 212(2). 314–326.

Fry, Christopher, Michael D. Maile, Evan A. Farkash, et al.. (2025). Early Sepsis Metabolic Changes in Kidney and Liver Precede Clinical Evidence of Organ Dysfunction. American Journal of Respiratory Cell and Molecular Biology. 73(2). 299–309. 1 indexed citations

Claar, Dru, Ivan Co, Barry D. Fuchs, et al.. (2025). Development and External Validation of a Detection Model to Retrospectively Identify Patients With Acute Respiratory Distress Syndrome. Critical Care Medicine. 53(6). e1224–e1234. 3 indexed citations

Munroe, Elizabeth, Hayley B. Gershengorn, Sarah Seelye, et al.. (2024). Understanding How Clinicians Personalize Fluid and Vasopressor Decisions in Early Sepsis Management. JAMA Network Open. 7(4). e247480–e247480. 4 indexed citations

Costa, Deena Kelly, et al.. (2024). Shift-Level Team Familiarity Is Associated with Improved Outcomes in Mechanically Ventilated Adults. American Journal of Respiratory and Critical Care Medicine. 210(3). 311–318. 4 indexed citations

Combs, M.P., J. Luth, Nicole R. Falkowski, et al.. (2024). The Lung Microbiome Predicts Mortality and Response to Azithromycin in Lung Transplant Recipients with Chronic Rejection. American Journal of Respiratory and Critical Care Medicine. 209(11). 1360–1375. 3 indexed citations

Fouhey, David F., Stephanie A. Shepard, Thomas S. Valley, et al.. (2023). Measuring the Impact of AI in the Diagnosis of Hospitalized Patients. JAMA. 330(23). 2275–2275. 80 indexed citations

Ansari, Sardar, et al.. (2023). Collaborative strategies for deploying artificial intelligence to complement physician diagnoses of acute respiratory distress syndrome. npj Digital Medicine. 6(1). 62–62. 23 indexed citations

Salerno, Stephen, Yuming Sun, Xinwei He, et al.. (2021). Comprehensive evaluation of COVID-19 patient short- and long-term outcomes: Disparities in healthcare utilization and post-hospitalization outcomes. PLoS ONE. 16(10). e0258278–e0258278. 11 indexed citations

10.

Sjoding, Michael W., et al.. (2021). 350. Joint Modeling of EHR and CXR Data to Predict COVID-19 Deterioration. Open Forum Infectious Diseases. 8(Supplement_1). S279–S279.

11.

Ansari, Sardar, Richard P. Medlin, Steven L. Kronick, et al.. (2021). Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods. JMIR Medical Informatics. 9(4). e25066–e25066. 18 indexed citations

12.

Ashley, Shanna L., Michael W. Sjoding, Antonia P. Popova, et al.. (2020). Lung and gut microbiota are altered by hyperoxia and contribute to oxygen-induced lung injury in mice. Science Translational Medicine. 12(556). 112 indexed citations

13.

Dickson, Robert P., Marcus J. Schultz, Tom van der Poll, et al.. (2020). Lung Microbiota Predict Clinical Outcomes in Critically Ill Patients. American Journal of Respiratory and Critical Care Medicine. 201(5). 555–563. 199 indexed citations

14.

Klaiman, Tamar, et al.. (2020). Improving Prone Positioning for Severe Acute Respiratory Distress Syndrome during the COVID-19 Pandemic. An Implementation-Mapping Approach. Annals of the American Thoracic Society. 18(2). 300–307. 29 indexed citations

15.

Ervin, Jennifer N., Michael W. Sjoding, Theodore J. Iwashyna, et al.. (2020). Evidence-Based Practices for Acute Respiratory Failure and Acute Respiratory Distress Syndrome. CHEST Journal. 158(6). 2381–2393. 16 indexed citations

16.

Wang, Jiaxuan, et al.. (2019). Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series.. 27–52. 1 indexed citations

17.

Sjoding, Michael W., Michelle N. Gong, Carl F Haas, & Theodore J. Iwashyna. (2018). Evaluating Delivery of Low Tidal Volume Ventilation in Six ICUs Using Electronic Health Record Data*. Critical Care Medicine. 47(1). 56–61. 29 indexed citations

18.

Valley, Thomas S., Michael W. Sjoding, Zachary D. Goldberger, & Colin R. Cooke. (2016). ICU Use and Quality of Care for Patients With Myocardial Infarction and Heart Failure. CHEST Journal. 150(3). 524–532. 12 indexed citations

19.

Sjoding, Michael W., Thomas S. Valley, Hallie C. Prescott, et al.. (2015). Rising Billing for Intermediate Intensive Care among Hospitalized Medicare Beneficiaries between 1996 and 2010. American Journal of Respiratory and Critical Care Medicine. 193(2). 163–170. 40 indexed citations

20.

Sjoding, Michael W., Hallie C. Prescott, Hannah Wunsch, Theodore J. Iwashyna, & Colin R. Cooke. (2015). Hospitals With the Highest Intensive Care Utilization Provide Lower Quality Pneumonia Care to the Elderly*. Critical Care Medicine. 43(6). 1178–1186. 14 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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