Weiping Teng

15.7k total citations · 1 hit paper
329 papers, 8.8k citations indexed

About

Weiping Teng is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Weiping Teng has authored 329 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 217 papers in Endocrinology, Diabetes and Metabolism, 68 papers in Molecular Biology and 43 papers in Pathology and Forensic Medicine. Recurrent topics in Weiping Teng's work include Thyroid Disorders and Treatments (182 papers), Thyroid Cancer Diagnosis and Treatment (71 papers) and Growth Hormone and Insulin-like Growth Factors (36 papers). Weiping Teng is often cited by papers focused on Thyroid Disorders and Treatments (182 papers), Thyroid Cancer Diagnosis and Treatment (71 papers) and Growth Hormone and Insulin-like Growth Factors (36 papers). Weiping Teng collaborates with scholars based in China, United States and United Kingdom. Weiping Teng's co-authors include Zhongyan Shan, Chenling Fan, Haixia Guan, Cheng Han, Xiaochun Teng, Yongze Li, Xiaoguang Shi, Yushu Li, Xinghai Xia and Chenyan 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

Weiping Teng

323 papers receiving 8.6k citations

Hit Papers

Prevalence of Hyperuricem... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Weiping Teng 4.9k 1.8k 1.2k 1.1k 788 329 8.8k
Zhongyan Shan 6.4k 1.3× 2.4k 1.4× 1.3k 1.1× 1.1k 1.0× 1.1k 1.3× 336 11.7k
A.H. Jan Danser 7.6k 1.6× 5.8k 3.3× 764 0.7× 1.1k 1.0× 928 1.2× 465 18.8k
Ulla Feldt‐Rasmussen 8.7k 1.8× 1.5k 0.9× 1.1k 1.0× 1.3k 1.1× 1.2k 1.5× 482 14.4k
Jane F. Reckelhoff 3.2k 0.7× 1.2k 0.7× 356 0.3× 1.2k 1.0× 882 1.1× 143 8.7k
Berthold Hocher 1.6k 0.3× 2.2k 1.2× 886 0.8× 1.6k 1.4× 576 0.7× 355 9.4k
Salvatore Benvenga 5.6k 1.1× 1.5k 0.9× 847 0.7× 559 0.5× 1.2k 1.5× 333 9.6k
Jaap A. Joles 1.9k 0.4× 2.2k 1.3× 528 0.5× 1.1k 0.9× 356 0.5× 266 9.2k
Michael Y. Tsai 2.5k 0.5× 3.2k 1.8× 528 0.5× 1.1k 1.0× 1.2k 1.5× 412 16.1k
Ellen W. Seely 2.7k 0.6× 711 0.4× 729 0.6× 2.5k 2.2× 708 0.9× 213 9.4k
Hans Perrild 6.6k 1.4× 743 0.4× 988 0.9× 845 0.7× 882 1.1× 178 8.2k

Countries citing papers authored by Weiping Teng

Since Specialization
Citations

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

Fields of papers citing papers by Weiping Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiping Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Weiping Teng. A scholar is included among the top collaborators of Weiping Teng 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 Weiping Teng. Weiping Teng 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.
Zhou, Yixin, Weiping Teng, Jianchun Wu, et al.. (2025). Piperlongumine Inhibits Lung Cancer Growth by Inducing Endoplasmic Reticulum Stress Leading to Suppression of M2 Macrophage Polarization. Biological Procedures Online. 27(1). 18–18. 2 indexed citations
2.
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
3.
Teng, Weiping, et al.. (2024). Long non‑coding RNA SNHG1 promotes autophagy in vascular smooth muscle cells induced by facilitating CLEC7A . Molecular Medicine Reports. 31(1). 1 indexed citations
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
6.
Wang, Chuyuan, Jing Qiao, Shanshan Liu, et al.. (2024). Selenium in the treatment of mild-to-moderate Graves’ orbitopathy: a 5-year prospective controlled cohort study. Endocrine. 84(3). 1072–1080. 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.
Houston, Brett L., Weiping Teng, Robert Balshaw, et al.. (2023). OC 05.2 Impact of Heparin on Disease State Transition in Hospitalized, Non-Critically Ill Patients with COVID-19; Secondary Analysis of an International Multi-Platform RCT. Research and Practice in Thrombosis and Haemostasis. 7. 100360–100360. 2 indexed citations
9.
Zhang, Xueqi, et al.. (2023). The Relationship between Thyrotropin Serum Concentrations and Thyroid Carcinoma. Cancers. 15(20). 5017–5017. 3 indexed citations
12.
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
13.
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
14.
Yao, Litong, Yifan Zhong, Yan Wang, et al.. (2020). <p>Serum CA125 Level Is Associated with Diabetic Retinopathy in Chinese Patients with Type 2 Diabetes</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 1803–1812. 4 indexed citations
15.
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
16.
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
17.
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
18.
Zhao, Yuhang, Wei Miao, Chenyang Li, et al.. (2014). Dynamic Changes in Serum 25-Hydroxyvitamin D during Pregnancy and Lack of Effect on Thyroid Parameters. PLoS ONE. 9(3). e90161–e90161. 14 indexed citations
20.
Man, Na, Haixia Guan, Zhongyan Shan, et al.. (2006). [Long-term effects of high iodine intake: inhibition of thyroid iodine uptake and organification in Wistar rats].. PubMed. 86(48). 3420–4. 5 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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