Philip Yang

1.5k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

Philip Yang is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Surgery. According to data from OpenAlex, Philip Yang has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 8 papers in Epidemiology and 7 papers in Surgery. Recurrent topics in Philip Yang's work include Respiratory Support and Mechanisms (12 papers), Sepsis Diagnosis and Treatment (8 papers) and Intensive Care Unit Cognitive Disorders (4 papers). Philip Yang is often cited by papers focused on Respiratory Support and Mechanisms (12 papers), Sepsis Diagnosis and Treatment (8 papers) and Intensive Care Unit Cognitive Disorders (4 papers). Philip Yang collaborates with scholars based in United States, Canada and United Kingdom. Philip Yang's co-authors include Michael V. McConnell, Yoriyasu Suzuki, Masahiro Terashima, Dwight G. Nishimura, Zhuang Liu, Jin Hyung Lee, Hongjie Dai, David J. Mann, Xiaoming Sun and Won Seok Seo and has published in prestigious journals such as Nature Materials, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Philip Yang

19 papers receiving 1.1k citations

Hit Papers

FeCo/graphitic-shell nanocrystals as advanced magnetic-re... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Yang United States 10 477 393 338 202 162 24 1.1k
Ingrid Böhm Germany 17 470 1.0× 616 1.6× 501 1.5× 298 1.5× 123 0.8× 54 1.8k
Rafael Piñol Spain 22 499 1.0× 302 0.8× 316 0.9× 167 0.8× 191 1.2× 41 1.3k
Mostafa Sadoqi United States 14 498 1.0× 843 2.1× 360 1.1× 216 1.1× 121 0.7× 45 1.5k
Yunjun Xu China 21 561 1.2× 608 1.5× 421 1.2× 184 0.9× 117 0.7× 30 1.2k
Naomi Matsuura Canada 22 646 1.4× 1.1k 2.9× 196 0.6× 204 1.0× 313 1.9× 60 1.7k
Peter F. Nielsen Denmark 17 742 1.6× 654 1.7× 495 1.5× 196 1.0× 181 1.1× 59 1.7k
Juan Pellico Spain 18 288 0.6× 412 1.0× 394 1.2× 202 1.0× 40 0.2× 37 976
Zhao Guo China 17 981 2.1× 1.2k 3.0× 372 1.1× 329 1.6× 88 0.5× 43 1.9k
Cordula Gruettner United States 17 194 0.4× 823 2.1× 685 2.0× 290 1.4× 65 0.4× 22 1.3k
Anton A. Popov Russia 18 435 0.9× 640 1.6× 152 0.4× 111 0.5× 236 1.5× 60 984

Countries citing papers authored by Philip Yang

Since Specialization
Citations

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

Fields of papers citing papers by Philip Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Yang. A scholar is included among the top collaborators of Philip Yang 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 Philip Yang. Philip Yang 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.
Arora, Mehak, et al.. (2025). Improving clinical decision support through interpretable machine learning and error handling in electronic health records. Journal of the American Medical Informatics Association. 33(1). 123–132.
2.
Nemati, Shamim, Ewan C. Goligher, Catherine L. Hough, et al.. (2025). Can we predict the future of respiratory failure prediction?. Critical Care. 29(1). 253–253. 1 indexed citations
3.
Yang, Philip, et al.. (2024). Reducing Tracheostomy-Related Acquired Pressure Injury by Flipping the Ventilator Circuit Position Study. Critical Care Explorations. 6(6). e1102–e1102.
4.
Davis, Carolyn, et al.. (2024). RespBERT: A Multi-Site Validation of a Natural Language Processing Algorithm, of Radiology Notes to Identify Acute Respiratory Distress Syndrome (ARDS). IEEE Journal of Biomedical and Health Informatics. 29(2). 1455–1463. 5 indexed citations
5.
Yang, Philip, et al.. (2024). The impact of job stress on job satisfaction and turnover intentions among bank employees during the COVID-19 pandemic. Frontiers in Psychology. 15. 1482968–1482968.
6.
Yang, Philip & Annette Esper. (2024). Diagnosis and Management of Acute Respiratory Failure. Critical Care Clinics. 40(2). i–i.
7.
Yang, Philip & Michael W. Sjoding. (2024). Acute Respiratory Distress Syndrome. Critical Care Clinics. 40(2). 309–327. 8 indexed citations
8.
Davis, Carolyn, Philip Yang, Felipe Lisboa, et al.. (2024). Derivation and validation of generalized sepsis-induced acute respiratory failure phenotypes among critically ill patients: a retrospective study. Critical Care. 28(1). 321–321. 3 indexed citations
9.
Yang, Philip, Chad Robichaux, Andre L. Holder, et al.. (2024). Racial Differences in Accuracy of Predictive Models for High-Flow Nasal Cannula Failure in COVID-19. Critical Care Explorations. 6(3). e1059–e1059. 1 indexed citations
10.
Krishnan, Preethi, Philip Yang, Sivasubramanium V. Bhavani, et al.. (2023). HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF). Physiological Measurement. 44(10). 105006–105006.
11.
Bonilla, Hector, Lü Tian, Vincent C. Marconi, et al.. (2023). Low-dose naltrexone use for the management of post-acute sequelae of COVID-19. International Immunopharmacology. 124(Pt B). 110966–110966. 12 indexed citations
12.
Esper, Annette, et al.. (2022). Initial Validation of Multi-Frequency Patch-Based Impedance Pneumography in Hospital Settings. 2022 IEEE Sensors. 1–4. 2 indexed citations
13.
Thin, May Zaw, Robert D. Johnson, Laurence H. Jackson, et al.. (2021). Myocardial Viability Imaging using Manganese‐Enhanced MRI in the First Hours after Myocardial Infarction. Advanced Science. 8(11). e2003987–e2003987. 13 indexed citations
14.
Yang, Philip, Azade Tabaie, An-Kwok Ian Wong, et al.. (2021). eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19. PLoS ONE. 16(9). e0257056–e0257056. 30 indexed citations
15.
Haddad, François, Matjaž Sever, Gregor Poglajen, et al.. (2015). Immunologic Network and Response to Intramyocardial CD34+ Stem Cell Therapy in Patients With Dilated Cardiomyopathy. Journal of Cardiac Failure. 21(7). 572–582. 8 indexed citations
16.
Kimura, Naoyuki, Stephanie H. Chang, Jaehoon Chung, et al.. (2011). αB-Crystallin Improves Murine Cardiac Function and Attenuates Apoptosis in Human Endothelial Cells Exposed to Ischemia-Reperfusion. The Annals of Thoracic Surgery. 91(6). 1907–1913. 54 indexed citations
17.
Uchida, Masaki, Masahiro Terashima, Charles H. Cunningham, et al.. (2008). A human ferritin iron oxide nano‐composite magnetic resonance contrast agent. Magnetic Resonance in Medicine. 60(5). 1073–1081. 122 indexed citations
18.
Nguyen, Patricia K., Girish Narayan, Jeffrey C. Hellinger, et al.. (2006). Peri-Infarct Ischemia Determined by Cardiovascular Magnetic Resonance Evaluation of Myocardial Viability and Stress Perfusion Predicts Future Cardiovascular Events in Patients with Severe Ischemic Cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 8(6). 773–779. 26 indexed citations
19.
Seo, Won Seok, Jin Hyung Lee, Xiaoming Sun, et al.. (2006). FeCo/graphitic-shell nanocrystals as advanced magnetic-resonance-imaging and near-infrared agents. Nature Materials. 5(12). 971–976. 741 indexed citations breakdown →
20.
Kaji, Shuichiro, Philip Yang, Adam B. Kerr, et al.. (2001). Rapid evaluation of left ventricular volume and mass without breath-holding using real-time interactive cardiac magnetic resonance imaging system. Journal of the American College of Cardiology. 38(2). 527–533. 60 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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