Feng Gu

980 total citations · 1 hit paper
22 papers, 663 citations indexed

About

Feng Gu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Feng Gu has authored 22 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Surgery and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Feng Gu's work include Pituitary Gland Disorders and Treatments (10 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Adrenal and Paraganglionic Tumors (7 papers). Feng Gu is often cited by papers focused on Pituitary Gland Disorders and Treatments (10 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Adrenal and Paraganglionic Tumors (7 papers). Feng Gu collaborates with scholars based in China, United States and Switzerland. Feng Gu's co-authors include Annamaria Colao, James W. Findling, John Newell‐Price, Stephan Petersenn, Mario Maldonado, U Schoenherr, David Mills, Luiz Roberto Salgado, L R Salgado and Beverly M. K. Biller and has published in prestigious journals such as New England Journal of Medicine, Frontiers in Microbiology and Medicine.

In The Last Decade

Feng Gu

18 papers receiving 641 citations

Hit Papers

A 12-Month Phase 3 Study of Pasireotide in Cushing's Disease 2012 2026 2016 2021 2012 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A 12-Month Phase 3 Study of Pasireotide in Cushing's Disease
    2012 442 citations Annamaria Colao, Stephan Petersenn et al. New England Journal of Medicine profile →

Peers

Feng Gu
Virginia Kamvissi Germany
Lijing Jia China
Shan Lang China
David Holthouse Australia
Ilja Hulinsky United States
Marjorie Chelly United States
Ashish Shukla India
Pablo Cure United States
Silvia Berardis Belgium
Shurong Wang China
Virginia Kamvissi Germany
Feng Gu
Citations per year, relative to Feng Gu Feng Gu (= 1×) peers Virginia Kamvissi

Countries citing papers authored by Feng Gu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Gu. A scholar is included among the top collaborators of Feng 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 Feng Gu. Feng Gu 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.
Gu, Feng, Andreas Meyer, Tonimarie Catalan, et al.. (2025). Identification of digital twins to guide interpretable AI for diagnosis and prognosis in heart failure. npj Digital Medicine. 8(1). 110–110. 5 indexed citations
2.
Liu, Yijun, Zhen Zhao, Qi Yu, et al.. (2025). Machine learning-based phenotyping and assessment of treatment responses in heart failure with preserved ejection fraction. EClinicalMedicine. 88. 103462–103462. 1 indexed citations
3.
4.
Li, Ming, Jiehua Li, Hao He, et al.. (2023). Safety and efficacy of thoracic endovascular aortic repair for acute Stanford type B aortic dissection with retrograde type A intramural hematoma. Journal of Vascular Surgery. 78(1). 61–69.e4. 3 indexed citations
5.
6.
Wu, Changyu, et al.. (2022). Probiotics: Potential Novel Therapeutics Against Fungal Infections. Frontiers in Cellular and Infection Microbiology. 11. 793419–793419. 18 indexed citations
7.
Zhang, Rui, et al.. (2022). Plasma CXCL3 Levels Are Associated with Tumor Progression and an Unfavorable Colorectal Cancer Prognosis. Journal of Immunology Research. 2022. 1–7. 11 indexed citations
8.
Ma, Qin, Lei Yang, & Feng Gu. (2021). Immunotherapy-related pneumonitis and bacterial pneumonia after the successful treatment of metastatic malignant melanoma with pembrolizumab. Medicine. 100(1). e24018–e24018. 1 indexed citations
9.
Hu, Shan, Feilong Zhu, Weiwei Jiang, et al.. (2021). Retrospective Analysis of the Clinical Characteristics of Candida auris Infection Worldwide From 2009 to 2020. Frontiers in Microbiology. 12. 658329–658329. 34 indexed citations
10.
Gu, Feng, Steven E. Whitesall, Kimber Converso‐Baran, et al.. (2020). Potential role of intermittent functioning of baroreflexes in the etiology of hypertension in spontaneously hypertensive rats. JCI Insight. 5(19). 11 indexed citations
11.
Colao, A., Feng Gu, Mônica R. Gadelha, et al.. (2015). Metformin-based oral antidiabetic therapy proved effective in hyperglycaemia associated with pasireotide in patients with acromegaly. Endocrine Abstracts. 6 indexed citations
12.
Petersenn, Stephan, John Newell‐Price, James W. Findling, et al.. (2013). High variability in baseline urinary free cortisol values in patients with Cushing's disease. Clinical Endocrinology. 80(2). 261–269. 95 indexed citations
13.
14.
Colao, Annamaria, Marcello D. Bronstein, Pamela U. Freda, et al.. (2012). Pasireotide LAR is significantly more effective than octreotide LAR at inducing biochemical control in patients with acromegaly: results of a 12-month randomized, double-blind, multicenter, Phase III study. 15th International & 14th European Congress of Endocrinology. 29. 12 indexed citations
15.
Fleseriu, Maria, M C Sheppard, Marcello D. Bronstein, et al.. (2012). Pasireotide LAR vs octreotide LAR in patients with acromegaly: double-blind, crossover, extension period to a randomized, double-blind, multicenter, phase III study. 15th International & 14th European Congress of Endocrinology. 29. 3 indexed citations
16.
Colao, Annamaria, Stephan Petersenn, John Newell‐Price, et al.. (2012). A 12-Month Phase 3 Study of Pasireotide in Cushing's Disease. New England Journal of Medicine. 366(10). 914–924. 442 indexed citations breakdown →
17.
Pivonello, Rosario, John Newell‐Price, James W. Findling, et al.. (2011). Improvement in clinical signs and symptoms of Cushing's disease following 12 months' pasireotide therapy.
18.
Colao, Annamaria, Stephan Petersenn, John Newell‐Price, et al.. (2011). Pasireotide (SOM230) demonstrates efficacy in patients with Cushing's disease: results from a large, randomized-dose, double-blind, Phase III study. 2 indexed citations
19.
Lü, Lin, Feng Gu, Wuyi Li, et al.. (2010). Clinical and Pathological Features of Riedel's Thyroiditis. Chinese Medical Sciences Journal. 25(3). 129–134. 7 indexed citations
20.
Zhang, Shi, Yuxiu Li, Naishi Li, et al.. (2009). Octreotide acetate long-acting release in treatment of pancreatic neuroendocrine tumors.. PubMed. 122(13). 1582–4.

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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