Fengjiao Huang

719 total citations
27 papers, 546 citations indexed

About

Fengjiao Huang is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Molecular Biology. According to data from OpenAlex, Fengjiao Huang has authored 27 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Cancer Research and 7 papers in Molecular Biology. Recurrent topics in Fengjiao Huang's work include Cancer-related molecular mechanisms research (7 papers), Thyroid Disorders and Treatments (4 papers) and MicroRNA in disease regulation (3 papers). Fengjiao Huang is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Thyroid Disorders and Treatments (4 papers) and MicroRNA in disease regulation (3 papers). Fengjiao Huang collaborates with scholars based in China and United States. Fengjiao Huang's co-authors include Lei Ye, Liyun Shen, Guang Ning, Weiqing Wang, Guang Ning, Xiaochun Fei, Wei Zhu, Xiaofang Zhang, Jiao Qin and Weiyuan Fang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Fengjiao Huang

27 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengjiao Huang China 12 251 181 167 111 110 27 546
Weiqing Wang China 10 265 1.1× 192 1.1× 81 0.5× 87 0.8× 81 0.7× 25 454
Charles W. O’Loughlin United States 9 103 0.4× 218 1.2× 126 0.8× 26 0.2× 50 0.5× 11 434
Huijing Ye China 13 97 0.4× 200 1.1× 106 0.6× 48 0.4× 45 0.4× 54 469
Tomasz Stępień Poland 13 192 0.8× 59 0.3× 158 0.9× 106 1.0× 30 0.3× 41 442
Yun Jae Chung South Korea 18 405 1.6× 151 0.8× 180 1.1× 133 1.2× 36 0.3× 54 695
Joanna Waligórska‐Stachura Poland 13 193 0.8× 48 0.3× 150 0.9× 97 0.9× 26 0.2× 31 423
Kristian T. Johnson Germany 9 102 0.4× 161 0.9× 140 0.8× 27 0.2× 35 0.3× 14 498
Hui‐Jen Tsai Taiwan 16 66 0.3× 77 0.4× 130 0.8× 220 2.0× 50 0.5× 53 581
Bo Youn Cho South Korea 11 546 2.2× 66 0.4× 225 1.3× 104 0.9× 107 1.0× 27 736
Ulla Bergholm Sweden 15 454 1.8× 83 0.5× 157 0.9× 199 1.8× 33 0.3× 25 670

Countries citing papers authored by Fengjiao Huang

Since Specialization
Citations

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

Fields of papers citing papers by Fengjiao Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengjiao Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Fengjiao Huang. A scholar is included among the top collaborators of Fengjiao Huang 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 Fengjiao Huang. Fengjiao Huang 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.
Zhao, Linlin, Yingying Zhou, Fengjiao Huang, et al.. (2023). Clinical characteristics of familial dysalbuminemic hyperthyroxinemia in Chinese patients and comparison of free thyroxine in three immunoassay methods. Frontiers in Endocrinology. 14. 1102777–1102777. 2 indexed citations
2.
Xu, Shan, Rui Ni, Lihong Lv, et al.. (2022). Simultaneous determination of vitamin D metabolites 25(OH)D3 and 1α,25(OH)2D3 in human plasma using liquid chromatography tandem mass spectrometry. SHILAP Revista de lepidopterología. 24. 65–79. 11 indexed citations
3.
Wang, Jiao, Di Zhao, Chengzhi Ding, et al.. (2021). MicroRNA-194: a novel regulator of glucagon-like peptide-1 synthesis in intestinal L cells. Cell Death and Disease. 12(1). 13 indexed citations
4.
Chen, Xinxin, Yanqiu Wang, Yicheng Qi, et al.. (2021). Expansion of inflammatory monocytes in periphery and infiltrated into thyroid tissue in Graves’ disease. Scientific Reports. 11(1). 13443–13443. 7 indexed citations
5.
Wang, Jiao, Yanling Liu, Chengzhi Ding, et al.. (2021). Berberine activates the β-catenin/TCF4 signaling pathway by down-regulating miR-106b to promote GLP-1 production by intestinal L cells. European Journal of Pharmacology. 911. 174482–174482. 6 indexed citations
6.
7.
Liu, Yanling, Yanxia Liu, Jiao Wang, et al.. (2021). LncRNA FENDRR promotes apoptosis of Leydig cells in late-onset hypogonadism by facilitating the degradation of Nrf2. Cell and Tissue Research. 386(2). 379–389. 6 indexed citations
8.
Chen, Xinxin, Fengjiao Huang, Yicheng Qi, et al.. (2018). Serum and thyroid tissue level of let-7b and their correlation with TRAb in Graves’ disease. Journal of Translational Medicine. 16(1). 188–188. 9 indexed citations
9.
Qi, Yicheng, Xinxin Chen, Lei Ye, et al.. (2017). MicroRNA-4443 Causes CD4+ T Cells Dysfunction by Targeting TNFR-Associated Factor 4 in Graves’ Disease. Frontiers in Immunology. 8. 1440–1440. 22 indexed citations
10.
Ye, Lei, Xiaoyi Zhou, Fengjiao Huang, et al.. (2017). The genetic landscape of benign thyroid nodules revealed by whole exome and transcriptome sequencing. Nature Communications. 8(1). 15533–15533. 56 indexed citations
11.
Huang, Fengjiao, Xiaoyi Zhou, Lei Ye, et al.. (2016). Follicular thyroid carcinoma but not adenoma recruits tumor-associated macrophages by releasing CCL15. BMC Cancer. 16(1). 98–98. 16 indexed citations
12.
Peng, Ying, Yicheng Qi, Fengjiao Huang, et al.. (2016). Down-regulated resistin level in consequence of decreased neutrophil counts in untreated Grave's disease. Oncotarget. 7(48). 78680–78687. 10 indexed citations
13.
Ye, Lei, Wei Zhu, Liyun Shen, et al.. (2015). Smoking was associated with poor response to intravenous steroids therapy in Graves’ ophthalmopathy. British Journal of Ophthalmology. 99(12). 1686–1691. 34 indexed citations
14.
Shen, Liyun, Fengjiao Huang, Lei Ye, et al.. (2015). Circulating microRNA predicts insensitivity to glucocorticoid therapy in Graves’ ophthalmopathy. Endocrine. 49(2). 445–456. 38 indexed citations
15.
Cai, Jie, Lin Li, Lei Ye, et al.. (2014). Exome sequencing reveals mutant genes with low penetrance involved in MEN2A-associated tumorigenesis. Endocrine Related Cancer. 22(1). 23–33. 9 indexed citations
16.
Huang, Fengjiao, Weiyuan Fang, Liyun Shen, et al.. (2014). Braf Mutation Correlates with Recurrent Papillary Thyroid Carcinoma in Chinese Patients. Current Oncology. 21(6). 740–747. 9 indexed citations
17.
Zhu, Wei, Lei Ye, Liyun Shen, et al.. (2014). A Prospective, Randomized Trial of Intravenous Glucocorticoids Therapy With Different Protocols for Patients With Graves' Ophthalmopathy. The Journal of Clinical Endocrinology & Metabolism. 99(6). 1999–2007. 81 indexed citations
18.
Chen, Jiachun, et al.. (2014). Anti-HBV Activities of Xanthones From Swertia Punicea Hemsl. North American Journal of Medicine and Science. 7(2). 72–72. 1 indexed citations
19.
Qi, Yicheng, Fengjiao Huang, Hua Guo, et al.. (2013). Chemokine (C-C Motif) Ligand 20, a Potential Biomarker for Graves' Disease, Is Regulated by Osteopontin. PLoS ONE. 8(5). e64277–e64277. 20 indexed citations
20.
Wu, Guofeng, et al.. (2009). Poly(ADP-ribose) polymerase activation and brain edema formation by hemoglobin after intracerebral hemorrhage in rats. Acta neurochirurgica. Supplementum. 105. 23–27. 16 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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