Yan Jiang

4.1k total citations
219 papers, 2.7k citations indexed

About

Yan Jiang is a scholar working on Genetics, Molecular Biology and Nephrology. According to data from OpenAlex, Yan Jiang has authored 219 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Genetics, 75 papers in Molecular Biology and 68 papers in Nephrology. Recurrent topics in Yan Jiang's work include Parathyroid Disorders and Treatments (63 papers), Bone health and treatments (56 papers) and Connective tissue disorders research (44 papers). Yan Jiang is often cited by papers focused on Parathyroid Disorders and Treatments (63 papers), Bone health and treatments (56 papers) and Connective tissue disorders research (44 papers). Yan Jiang collaborates with scholars based in China, United States and United Kingdom. Yan Jiang's co-authors include Weibo Xia, Xiaoping Xing, Ou Wang, Mei Li, Fang Lv, Min Nie, Xunwu Meng, Wei Yu, Yue Sun and Mei Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Yan Jiang

206 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Jiang China 25 812 806 781 690 562 219 2.7k
Renata C. Pereira United States 24 774 1.0× 512 0.6× 457 0.6× 923 1.3× 263 0.5× 65 2.0k
Shuichi Jono Japan 24 2.3k 2.8× 688 0.9× 505 0.6× 1.0k 1.5× 485 0.9× 39 3.9k
Neal X. Chen United States 32 2.8k 3.5× 804 1.0× 420 0.5× 1.2k 1.7× 601 1.1× 74 4.8k
Neveen A. T. Hamdy Netherlands 41 709 0.9× 700 0.9× 2.2k 2.8× 1.2k 1.7× 1.8k 3.3× 139 4.7k
Natalie E. Cusano United States 30 2.3k 2.8× 539 0.7× 1.0k 1.3× 577 0.8× 774 1.4× 67 3.3k
P. Lakatos Hungary 25 439 0.5× 261 0.3× 1.1k 1.4× 757 1.1× 1.1k 2.0× 108 2.6k
V. Braga Italy 27 217 0.3× 459 0.6× 827 1.1× 494 0.7× 1.1k 2.0× 54 2.1k
Alison M. Boyce United States 27 310 0.4× 302 0.4× 950 1.2× 348 0.5× 196 0.3× 78 2.3k
Michael Mannstadt United States 31 3.6k 4.4× 1.3k 1.6× 739 0.9× 1.3k 1.9× 339 0.6× 99 5.3k
Gary B. Talpos United States 23 1.0k 1.3× 348 0.4× 631 0.8× 211 0.3× 304 0.5× 42 2.0k

Countries citing papers authored by Yan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Jiang. A scholar is included among the top collaborators of Yan Jiang 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 Yan Jiang. Yan Jiang 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.
Song, An, Xinqi Cheng, Yan Jiang, et al.. (2025). Two novel rare variants in the PTH gene found in patients with hypoparathyroidism. Osteoporosis and Sarcopenia. 11(1). 22–28.
2.
Rong, Hong-Mei & Yan Jiang. (2025). METTL14 suppresses the migration and invasion of hepatocellular carcinoma cells by m6A methylation of RPLP2. Scientific Reports. 15(1). 5660–5660. 1 indexed citations
3.
4.
Hu, Jing, Xiaojie Wang, Qian Zhang, et al.. (2024). Efficacy and Safety of Denosumab vs Zoledronic Acid in OI Adults: A Prospective, Open-Label, Randomized Study. The Journal of Clinical Endocrinology & Metabolism. 109(7). 1873–1882. 5 indexed citations
5.
Pang, Qianqian, Ruizhi Jiajue, Wei Liu, et al.. (2024). Bone Microarchitecture Evaluated by HR-PQCT in Chinese Adolescent and Pediatric Patients With X-Linked Hypophosphatemia. The Journal of Clinical Endocrinology & Metabolism. 110(8). 2172–2181. 2 indexed citations
6.
Liu, Jie, et al.. (2023). Case report: Multiple arterial stenoses induced by autosomal-recessive hypophosphatemic rickets type 2 associated with mutation of ENPP1: a case study. Frontiers in Cardiovascular Medicine. 10. 1126445–1126445. 1 indexed citations
7.
Song, An, Yan Jiang, Mei Li, et al.. (2023). Genotype-phenotype correlations in pseudohypoparathyroidism type 1a patients: a systemic review. European Journal of Endocrinology. 189(5). S103–S111. 2 indexed citations
8.
Song, An, Min Nie, Yan Jiang, et al.. (2023). Genetic and clinical screening for hereditary primary hyperparathyroidism in a large Chinese cohort: a single‐center study. Journal of Bone and Mineral Research. 38(9). 1322–1333. 1 indexed citations
9.
Song, An, Fengying Gong, Yan Jiang, et al.. (2023). Explorative research on glucolipid metabolism and levels of adipokines in pseudohypoparathyroidism type 1 patients. Orphanet Journal of Rare Diseases. 18(1). 367–367.
10.
Qi, Wenting, Yu Fan, Ruizhi Jiajue, et al.. (2023). Relationships between sclerostin and morphometric vertebral fractures, bone mineral density, and bone microarchitecture in postmenopausal women. Archives of Osteoporosis. 18(1). 57–57. 1 indexed citations
11.
12.
Wang, Ou, Min Nie, Yan Jiang, et al.. (2021). Bone turnover markers are associated with the PTH levels in different subtypes of pseudohypoparathyroidism type 1 patients. Clinical Endocrinology. 95(2). 277–285. 2 indexed citations
13.
Song, An, Min Nie, Yan Jiang, et al.. (2021). A novel long-range deletion spanning CDC73 and upper-stream genes discovered in a kindred of familial primary hyperparathyroidism. Endocrine. 75(3). 907–915. 2 indexed citations
14.
Zhao, Chenyang, Yan Jiang, Meng Wang, et al.. (2019). Feasibility of computer-assisted diagnosis for breast ultrasound: the results of the diagnostic performance of S-detect from a single center in China. SHILAP Revista de lepidopterología. 4 indexed citations
15.
Zhu, Yan, Ou Wang, Min Nie, et al.. (2017). Clinical and genetic characteristics of Pseudohypoparathyroidism in the Chinese population. Clinical Endocrinology. 88(2). 285–294. 13 indexed citations
16.
Chen, Ling, Ruoxi Liao, Yan Jiang, et al.. (2015). A Common Mutation and a Novel Mutation in the HPGD Gene in Nine Patients with Primary Hypertrophic Osteoarthropathy. Calcified Tissue International. 97(4). 336–342. 28 indexed citations
17.
Wang, Ou, Chunyan Wang, Min Nie, et al.. (2012). Novel HRPT2/CDC73 Gene Mutations and Loss of Expression of Parafibromin in Chinese Patients with Clinically Sporadic Parathyroid Carcinomas. PLoS ONE. 7(9). e45567–e45567. 42 indexed citations
18.
He, Shuli, Yue Sun, Mei Li, et al.. (2010). G1138A mutation in FGFR3 gene causes achondroplasia. 30(10). 907–909. 1 indexed citations
19.
Jiang, Yan. (2009). Changes of bilirubin,SOD,IL-1,IL-6 and WBC count before and after Guasha treatment in rats. Journal of Beijing University of Traditional Chinese Medicine. 1 indexed citations
20.
Jiang, Yan, P. Geusens, Jenny Zhao, et al.. (1993). Different models of accelerated bone loss over 3 months in young growing rats and effect of naproxen on the models - bone mass and biomechanical evaluation. Journal of Bone and Mineral Research. 8. 2 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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