Sue Gu

1.5k total citations · 1 hit paper
19 papers, 423 citations indexed

About

Sue Gu is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Hepatology. According to data from OpenAlex, Sue Gu has authored 19 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 7 papers in Cardiology and Cardiovascular Medicine and 3 papers in Hepatology. Recurrent topics in Sue Gu's work include Pulmonary Hypertension Research and Treatments (14 papers), Cardiovascular Function and Risk Factors (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Sue Gu is often cited by papers focused on Pulmonary Hypertension Research and Treatments (14 papers), Cardiovascular Function and Risk Factors (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Sue Gu collaborates with scholars based in United States, Austria and France. Sue Gu's co-authors include Jai Radhakrishnan, Sumit Mohan, Amay Parikh, David Montani, Michael Α. Gatzoulis, Christopher P. Denton, Sonja Bartolome, Gábor Kovács, Dinesh Khanna and David B. Badesch and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Sue Gu

17 papers receiving 414 citations

Hit Papers

Definition, classification and diagnosis of pulmonary hyp... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sue Gu United States 8 343 105 89 59 42 19 423
Toshihiro Iwasaku Japan 13 121 0.4× 126 1.2× 64 0.7× 80 1.4× 20 0.5× 24 372
Björn Jüttner Germany 12 79 0.2× 34 0.3× 124 1.4× 71 1.2× 32 0.8× 39 367
Lucia Tricarico Italy 12 104 0.3× 278 2.6× 50 0.6× 57 1.0× 30 0.7× 52 437
Sirouch Petcherski Israel 9 227 0.7× 249 2.4× 100 1.1× 102 1.7× 17 0.4× 12 579
Roxana Bucur Canada 6 111 0.3× 92 0.9× 35 0.4× 166 2.8× 38 0.9× 13 348
Iris C. Vermeulen Windsant Netherlands 8 114 0.3× 98 0.9× 63 0.7× 113 1.9× 57 1.4× 10 529
Hein A. Koomans Netherlands 8 151 0.4× 161 1.5× 71 0.8× 82 1.4× 66 1.6× 9 482
Akiyo Eguchi Japan 12 124 0.4× 121 1.2× 69 0.8× 68 1.2× 22 0.5× 32 373
M Gheorghiade United States 7 464 1.4× 620 5.9× 126 1.4× 85 1.4× 32 0.8× 21 951
Kanu Chatterjee United States 6 85 0.2× 285 2.7× 44 0.5× 98 1.7× 30 0.7× 11 445

Countries citing papers authored by Sue Gu

Since Specialization
Citations

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

Fields of papers citing papers by Sue Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sue Gu

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

All Works

19 of 19 papers shown
1.
Gu, Sue, Benjamin J. Kopecky, Brisa Peña, Ronald J. Vagnozzi, & Tim Lahm. (2025). Sex-dependent Pathophysiology and Therapeutic Considerations in Right Heart Disease. Canadian Journal of Cardiology. 41(6). 1038–1053.
2.
Takahashi, Edwin A., Akhilesh K. Sista, Daniel Addison, et al.. (2025). Disparities in Current Pulmonary Embolism Management and Outcomes: A Scientific Statement From the American Heart Association. Circulation. 151(15). e944–e955. 5 indexed citations
4.
Jin, Ying, Ryan Peterson, David B. Badesch, et al.. (2024). The effects of oxygenation on acute vasodilator challenge in pulmonary arterial hypertension. Pulmonary Circulation. 14(2). e12375–e12375. 1 indexed citations
5.
Ivy, D. Dunbar, Carlyne D. Cool, Bryan Park, et al.. (2024). Case report: A finding of PVOD and PAH in first degree relatives suggests shared heritable risk and overlapping features of both pulmonary vascular diseases. SHILAP Revista de lepidopterología. 12(11). e70064–e70064. 2 indexed citations
6.
McKeon, B.A., Sue Gu, Ram Prasad, et al.. (2024). Honokiol and Nicotinamide Adenine Dinucleotide Improve Exercise Endurance in Pulmonary Hypertensive Rats Through Increasing SIRT3 Function in Skeletal Muscle. International Journal of Molecular Sciences. 25(21). 11600–11600. 3 indexed citations
7.
Kovács, Gábor, Sonja Bartolome, Christopher P. Denton, et al.. (2024). Definition, classification and diagnosis of pulmonary hypertension. European Respiratory Journal. 64(4). 2401324–2401324. 87 indexed citations breakdown →
8.
Fais, Rafael Sobrano, et al.. (2023). Pathophysiology and new advances in pulmonary hypertension. SHILAP Revista de lepidopterología. 2(1). e000137–e000137. 41 indexed citations
11.
Gu, Sue, Claudia Mickael, Rahul Kumar, et al.. (2022). The role of macrophages in right ventricular remodeling in experimental pulmonary hypertension. Pulmonary Circulation. 12(3). e12105–e12105. 7 indexed citations
12.
Campbell, Nzali V., Claudia Mickael, Sushil Kumar, et al.. (2022). Single-cell RNA sequencing and binary hierarchical clustering define lung interstitial macrophage heterogeneity in response to hypoxia. American Journal of Physiology-Lung Cellular and Molecular Physiology. 323(1). L58–L68. 7 indexed citations
13.
Kassa, Biruk, Rahul Kumar, Claudia Mickael, et al.. (2021). Endothelial cell PHD2-HIF1α-PFKFB3 contributes to right ventricle vascular adaptation in pulmonary hypertension. American Journal of Physiology-Lung Cellular and Molecular Physiology. 321(4). L675–L685. 13 indexed citations
14.
Hernández-Saavedra, Daniel, Linda Sanders, Scott Freeman, et al.. (2020). Stable isotope metabolomics of pulmonary artery smooth muscle and endothelial cells in pulmonary hypertension and with TGF-beta treatment. Scientific Reports. 10(1). 413–413. 40 indexed citations
15.
Mickael, Claudia, Rahul Kumar, Daniel Hernández-Saavedra, et al.. (2019). IL-6Ra in Smooth Muscle Cells Protects against Schistosoma - and Hypoxia-induced Pulmonary Hypertension. American Journal of Respiratory Cell and Molecular Biology. 61(1). 123–126. 5 indexed citations
16.
Gu, Sue, Rahul Kumar, Michael H. Lee, Claudia Mickael, & Brian B. Graham. (2018). Common genetic variants in pulmonary arterial hypertension. The Lancet Respiratory Medicine. 7(3). 190–191. 9 indexed citations
17.
Zha, Jinmiao, et al.. (2014). Establishment of reference range for thyroid hormones in normal pregnant women in China’s coastal area. Clinical and Experimental Obstetrics & Gynecology. 41(2). 135–140. 3 indexed citations
18.
Mohan, Sumit, Sue Gu, Amay Parikh, & Jai Radhakrishnan. (2013). Prevalence of Hyponatremia and Association with Mortality: Results from NHANES. The American Journal of Medicine. 126(12). 1127–1137.e1. 184 indexed citations
19.
Gu, Sue, et al.. (1989). [Mucus histochemical study of bilirubin cholangiolithiasis in rabbit model].. PubMed. 20(4). 417–20. 9 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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