Sue Gu

17 papers receiving 414 citations

Sue Gu's Hit Papers

Definition, classification and diagnosis of pulmonary hypertension 2024 · 87 citations
870+1Years since publication255075

Peers

Sue Gu
Comparison fields: 5 of 77
  • Pulmonary and Respiratory Medicine 343
  • Critical Care and Intensive Care Medicine 26
  • Cardiology and Cardiovascular Medicine 105
  • Nephrology 27
  • Developmental Neuroscience 12
Replace Björn Jüttner with:
Björn Jüttner Germany
Iris C. Vermeulen Windsant Netherlands
Guillermo Cacho Spain
Jin Ha Park South Korea
Richard Krysztopik United Kingdom
Daniel J. Johnson United States
Toshihiro Iwasaku Japan
Ahmet Uğur Yalçın Türkiye
Mustafa Şare Türkiye
Lucia Tricarico Italy
Sue Gu relative to Björn Jüttner Germany Björn Jüttner's profile →
Citations per field
00.5×10×20×30.5×
Björn Jüttner · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sue Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sue Gu Line = papers co-authored together Sue Gu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2013184
2
Definition, classification and diagnosis of pulmonary hypertension
Hit paper breakdown →
202487
3 202341
4 202040
5 202113
6 20189
7
[Mucus histochemical study of bilirubin cholangiolithiasis in rabbit model].
19899
8 20227
9 20227
10 20236
11 20195
12 20255
13 20243
14 20143
15 20242
16 20241
17 20231
18 20240
19 20250

About Sue Gu

Sue Gu is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Hepatology, Internal Medicine and Biochemistry, having authored 19 papers that have together received 423 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (14 papers), Cardiovascular Function and Risk Factors (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Liver Disease and Transplantation (2 papers), Thyroid Disorders and Treatments (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (343 citations), Critical Care and Intensive Care Medicine (26 citations), Cardiology and Cardiovascular Medicine (105 citations), Nephrology (27 citations) and Developmental Neuroscience (12 citations). Sue Gu has collaborated with scholars based in United States, France and China. Frequent co-authors include Jai Radhakrishnan, Sumit Mohan, Amay Parikh, David B. Badesch, Christopher P. Denton, David Montani, Sonja Bartolome, Gábor Kovács, Dinesh Khanna and Michael Α. Gatzoulis. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Pulmonary Circulation, Comprehensive physiology, Scientific Reports and The Lancet Respiratory Medicine.

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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