Cheng Huan

953 total citations
37 papers, 776 citations indexed

About

Cheng Huan is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Pharmacology. According to data from OpenAlex, Cheng Huan has authored 37 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Pharmacology. Recurrent topics in Cheng Huan's work include Pituitary Gland Disorders and Treatments (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Adrenal and Paraganglionic Tumors (4 papers). Cheng Huan is often cited by papers focused on Pituitary Gland Disorders and Treatments (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Adrenal and Paraganglionic Tumors (4 papers). Cheng Huan collaborates with scholars based in China, United States and Hong Kong. Cheng Huan's co-authors include Tianli Yue, Juan-Li Gu, G Feuerstein, Paul G. Lysko, Patrick McKenna, Kathryn A. Lysko, R R Ruffolo, G. Feuerstein, Robert Ruffolo and P. McKenna and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Hypertension.

In The Last Decade

Cheng Huan

33 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Huan China 10 345 171 105 82 78 37 776
N Kaul Canada 9 323 0.9× 219 1.3× 150 1.4× 77 0.9× 121 1.6× 14 746
Peter Křenek Slovakia 15 285 0.8× 223 1.3× 82 0.8× 97 1.2× 115 1.5× 66 713
Masaya Fukuda Japan 16 238 0.7× 229 1.3× 84 0.8× 130 1.6× 137 1.8× 21 802
Ima Dovinová Slovakia 17 256 0.7× 363 2.1× 74 0.7× 65 0.8× 223 2.9× 49 971
Krishna Kolappa Pillai India 18 214 0.6× 169 1.0× 76 0.7× 106 1.3× 45 0.6× 46 880
Isabella Squellerio Italy 17 189 0.5× 223 1.3× 69 0.7× 43 0.5× 132 1.7× 24 771
Annie Turkieh France 11 146 0.4× 307 1.8× 55 0.5× 56 0.7× 99 1.3× 22 713
Cristina Campos Carraro Brazil 18 291 0.8× 223 1.3× 83 0.8× 142 1.7× 189 2.4× 61 876
Peter Bališ Slovakia 15 160 0.5× 125 0.7× 66 0.6× 66 0.8× 202 2.6× 50 648
A. Van de Water Belgium 13 651 1.9× 386 2.3× 105 1.0× 43 0.5× 112 1.4× 24 959

Countries citing papers authored by Cheng Huan

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Huan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Huan

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Huan. A scholar is included among the top collaborators of Cheng Huan 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 Cheng Huan. Cheng Huan 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.
Dong, Binhua, Zhen Lü, Tianjie Yang, et al.. (2025). Development, validation, and clinical application of a machine learning model for risk stratification and management of cervical cancer screening based on full-genotyping hrHPV test (SMART-HPV): a modelling study. The Lancet Regional Health - Western Pacific. 55. 101480–101480. 5 indexed citations
2.
Li, Yalin, Zhongpeng Han, Chengshan Wang, et al.. (2025). Cretaceous to Oligocene deformation and exhumation history of the southern Qiangtang terrane and implications for the topographic evolution of Central Tibet. Geological Society of America Bulletin. 137(7-8). 3181–3198.
3.
Wang, Changming, Chen Wang, Junyan He, et al.. (2025). The comparative efficacy of L-glutamine, celecoxib, and glucosamine sulfate in osteoarthritis management. Scientific Reports. 15(1). 8992–8992.
4.
Huan, Cheng, Fang Ye, Shufang Liu, et al.. (2024). Neuropsychiatric comorbidities and associated factors in 182 Chinese children with tic disorders. BMC Pediatrics. 24(1). 803–803. 1 indexed citations
5.
Huan, Cheng, et al.. (2024). Conditional generative adversarial networks for individualized causal mediation analysis. SHILAP Revista de lepidopterología. 12(1). 1 indexed citations
6.
Liu, Yin, Jinghua Yu, Cheng Huan, et al.. (2022). Pharmacokinetics, mass balance, and metabolism of [14C]TPN171, a novel PDE5 inhibitor, in humans for the treatment of pulmonary arterial hypertension. Acta Pharmacologica Sinica. 44(1). 221–233. 8 indexed citations
7.
Fu, Shuangshuang, Cheng Huan, & Shunlong Luo. (2020). Dynamics of nonclassicality in photon-loss channel. Physica Scripta. 95(7). 75108–75108. 1 indexed citations
8.
9.
10.
Huan, Cheng, et al.. (2019). Studies of blood–brain barrier permeability of gastrodigenin in vitro and in vivo. Fitoterapia. 140. 104447–104447. 19 indexed citations
11.
Zhang, Yimin, Hongfang Zhang, Yuanyuan Wang, et al.. (2018). [Blockade of TLR4/NF-κB pathway promotes the inflammation of Acinetobacter baumannii-infected rats].. PubMed. 34(5). 395–400. 1 indexed citations
12.
Jiang, Shaoyan, et al.. (2018). Renin-angiotensin system inhibitor attenuates oxidative stress induced human coronary artery endothelial cell dysfunction via the PI3K/AKT/mTOR pathway. Archives of Medical Science. 15(1). 152–164. 25 indexed citations
13.
Huan, Cheng, et al.. (2015). The characteristics of acromegalic patients with hyperprolactinemia and the differences with hyperprolactinemia patients.. PubMed. 28(2 Suppl). 713–8. 5 indexed citations
14.
Huan, Cheng, et al.. (2014). Retrospective Analysis of Cushing’s Disease with or without Hyperprolactinemia. International Journal of Endocrinology. 2014. 1–8. 4 indexed citations
15.
Huan, Cheng, et al.. (2014). Gender differences in presentation and outcome of patients with Cushing's disease in Han Chinese. Bio-Medical Materials and Engineering. 24(6). 3439–3446. 17 indexed citations
16.
Lü, Chao, et al.. (2014). The role of Ki-67 in women with a resistant prolactinoma: a retrospective analysis in 199 hospitalized patients over a period of 5 years.. PubMed. 27(4 Suppl). 1075–81. 4 indexed citations
17.
Huan, Cheng, et al.. (2012). Analysis of volatile compounds of propolis and poplar tree gum by SPME/DHS-GC-MS.. Shipin anquan zhiliang jiance xuebao. 3(1). 1–9. 3 indexed citations
18.
Kawakami, Takashi, Cheng Huan, Yasushi Nomura, et al.. (2008). A Caged Phosphopeptide‐Based Approach for Photochemical Activation of Kinases in Living Cells. ChemBioChem. 9(10). 1583–1586. 21 indexed citations
19.
Feuerstein, G., Tianli Yue, Cheng Huan, & R R Ruffolo. (1993). Myocardial protection by the novel vasodilating beta-blocker, carvedilol: potential relevance of anti-oxidant activity.. PubMed. 11(4). S41–8. 66 indexed citations
20.
Yue, Tianli, Cheng Huan, Paul G. Lysko, et al.. (1992). Carvedilol, a new vasodilator and beta adrenoceptor antagonist, is an antioxidant and free radical scavenger.. Journal of Pharmacology and Experimental Therapeutics. 263(1). 92–98. 420 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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