Zhongyan Shan

21.2k total citations · 2 hit papers
336 papers, 11.7k citations indexed

About

Zhongyan Shan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Zhongyan Shan has authored 336 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 229 papers in Endocrinology, Diabetes and Metabolism, 68 papers in Molecular Biology and 44 papers in Pathology and Forensic Medicine. Recurrent topics in Zhongyan Shan's work include Thyroid Disorders and Treatments (170 papers), Thyroid Cancer Diagnosis and Treatment (68 papers) and Growth Hormone and Insulin-like Growth Factors (39 papers). Zhongyan Shan is often cited by papers focused on Thyroid Disorders and Treatments (170 papers), Thyroid Cancer Diagnosis and Treatment (68 papers) and Growth Hormone and Insulin-like Growth Factors (39 papers). Zhongyan Shan collaborates with scholars based in China, United States and United Kingdom. Zhongyan Shan's co-authors include Weiping Teng, Chenling Fan, Haixia Guan, Jianping Weng, Wenying Yang, Haoming Tian, Zhiguang Zhou, Weiping Jia, Qiuhe Ji and Cheng Han and has published in prestigious journals such as New England Journal of Medicine, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Zhongyan Shan

328 papers receiving 11.4k citations

Hit Papers

Prevalence of Diabetes am... 2010 2026 2015 2020 2010 2015 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zhongyan Shan 6.4k 2.4k 1.3k 1.3k 1.1k 336 11.7k
Weiping Teng 4.9k 0.8× 1.8k 0.7× 1.2k 0.9× 621 0.5× 1.1k 1.0× 329 8.8k
Rijk O. B. Gans 3.8k 0.6× 2.3k 1.0× 912 0.7× 1.5k 1.2× 768 0.7× 358 15.3k
Barry I. Freedman 3.2k 0.5× 3.3k 1.4× 853 0.6× 1.7k 1.3× 921 0.8× 420 16.3k
George Jerums 4.6k 0.7× 2.1k 0.9× 933 0.7× 921 0.7× 488 0.4× 285 13.4k
Ian H. de Boer 6.3k 1.0× 2.4k 1.0× 3.7k 2.8× 1.8k 1.4× 900 0.8× 325 19.8k
Paul N. Hopkins 5.7k 0.9× 2.9k 1.2× 939 0.7× 1.4k 1.1× 1.1k 1.0× 295 16.2k
Michael J. Pencina 2.6k 0.4× 1.4k 0.6× 1.9k 1.4× 1.8k 1.4× 470 0.4× 46 14.7k
Elaine W. Gunter 3.2k 0.5× 1.5k 0.6× 2.4k 1.8× 888 0.7× 1.0k 0.9× 118 13.1k
Gerjan Navis 1.9k 0.3× 1.9k 0.8× 1.1k 0.8× 1.1k 0.8× 962 0.9× 444 16.9k
Andrew D. Morris 5.1k 0.8× 4.2k 1.8× 971 0.7× 1.1k 0.9× 411 0.4× 172 12.3k

Countries citing papers authored by Zhongyan Shan

Since Specialization
Citations

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

Fields of papers citing papers by Zhongyan Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongyan Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongyan Shan. A scholar is included among the top collaborators of Zhongyan Shan 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 Zhongyan Shan. Zhongyan Shan 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.
Zhang, Jinjia, Haiying Chen, Zhenyu Lin, et al.. (2024). Dynamic changes in the gut microbiota during three consecutive trimesters of pregnancy and their correlation with abnormal glucose and lipid metabolism. European journal of medical research. 29(1). 117–117. 5 indexed citations
2.
Song, Bo, et al.. (2024). Associations between various anthropometric indices and hypertension and hyperlipidaemia: a cross-sectional study in China. BMC Public Health. 24(1). 3045–3045. 7 indexed citations
3.
Liu, Aihua, Min Liu, Mingfeng Li, et al.. (2024). Development of an animal model of hypothyroxinemia during pregnancy in Wistar rats. SHILAP Revista de lepidopterología. 7(6). 926–935.
4.
Zhang, Yinghua, Peng Zhang, Weiping Teng, et al.. (2024). Influence of ear tags on the results of body composition analysis in mice. SHILAP Revista de lepidopterología. 7(4). 578–583. 1 indexed citations
5.
Wu, Ying, Qingling Guo, Yongping Liu, et al.. (2024). Iodine activates NLRP3 inflammasomes in PBMCs of patients with autoimmune thyroiditis and regulates Th1 and Th17 cell differentiation. Endocrine Connections. 14(2). 2 indexed citations
7.
Song, Bo, et al.. (2023). The prevalence and clustering of metabolic syndrome risk components in Chinese population: a cross-sectional study. Frontiers in Endocrinology. 14. 1290855–1290855. 7 indexed citations
8.
Jin, Chenye, et al.. (2023). Subclinical hypothyroidism increases insulin resistance in normoglycemic people. Frontiers in Endocrinology. 14. 1106968–1106968. 16 indexed citations
9.
Shan, Zhongyan, Yushu Li, Yongze Li, et al.. (2023). Changing Iodine Status and the Incidence of Thyroid Disease in Mainland China: A Prospective 20-Year Follow-Up Study. Thyroid. 33(7). 858–866. 14 indexed citations
10.
Wang, Xichang, Haoyu Wang, Ping Wang, et al.. (2022). Effect of Levothyroxine Supplementation on the Cardiac Morphology and Function in Patients With Subclinical Hypothyroidism: A Systematic Review and Meta-analysis. The Journal of Clinical Endocrinology & Metabolism. 107(9). 2674–2683. 9 indexed citations
13.
Zhang, Yingchai, Yu Sun, Zhiwei He, et al.. (2021). Age‐specific thyrotropin references decrease over‐diagnosis of hypothyroidism in elderly patients in iodine‐excessive areas. Clinical Endocrinology. 101(5). 549–556. 9 indexed citations
14.
Liu, Sixuan, Ziyi Liu, Zhongyan Shan, et al.. (2021). Skewed Th17/Treg balance during progression and malignant transformation of oral submucous fibrosis. Oral Diseases. 28(8). 2119–2130. 9 indexed citations
15.
Zhao, Jianwei, Jiashu Yu, Zhongyan Shan, et al.. (2021). MicroRNA expression profiles of the thyroid after goiter formation and involution in rats under different iodine regimens. Endocrine. 73(3). 598–608. 2 indexed citations
16.
Shan, Zhongyan, et al.. (2021). Expert consensus on diagnosis and treatment for elderly with thyroid diseases in China (2021). Aging Medicine. 4(2). 70–92. 14 indexed citations
17.
Liu, Yongping, Shanshan Liu, Jinyuan Mao, et al.. (2018). Serum Trace Elements Profile in Graves’ Disease Patients with or without Orbitopathy in Northeast China. BioMed Research International. 2018. 1–8. 28 indexed citations
18.
Jia, Mengwei, Xiaoguang Shi, Xiaolan Gu, et al.. (2018). Smoking Is Positively Associated with Antithyroperoxidase Antibodies and Antithyroglobulin Antibodies in Populations with Mildly Deficient Iodine Intake. Biological Trace Element Research. 187(2). 383–391. 5 indexed citations
19.
Qin, Jing, Jin Zhou, Chenling Fan, et al.. (2017). Increased Circulating Th17 but Decreased CD4+Foxp3+ Treg and CD19+CD1dhiCD5+ Breg Subsets in New-Onset Graves’ Disease. BioMed Research International. 2017. 1–8. 45 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026