Di Teng

4.0k total citations
31 papers, 508 citations indexed

About

Di Teng is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Di Teng has authored 31 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Di Teng's work include Thyroid Disorders and Treatments (18 papers), Thyroid Cancer Diagnosis and Treatment (11 papers) and Vitamin D Research Studies (4 papers). Di Teng is often cited by papers focused on Thyroid Disorders and Treatments (18 papers), Thyroid Cancer Diagnosis and Treatment (11 papers) and Vitamin D Research Studies (4 papers). Di Teng collaborates with scholars based in China, United States and Taiwan. Di Teng's co-authors include Weiping Teng, Zhongyan Shan, Yongze Li, Xiaoguang Shi, Xiaochun Teng, Yaping Pan, Frank A. Scannapieco, Elaine M. Haase, Xiaohui Yu and Yushu Li and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology and BMJ Open.

In The Last Decade

Di Teng

31 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Teng China 11 309 70 67 58 53 31 508
Siva Krishna Kota India 9 115 0.4× 61 0.9× 19 0.3× 36 0.6× 12 0.2× 21 287
Jae Yen Song South Korea 12 61 0.2× 25 0.4× 37 0.6× 26 0.4× 68 1.3× 30 417
A. G. Nilsson Sweden 10 408 1.3× 55 0.8× 19 0.3× 244 4.2× 20 0.4× 12 775
Gyula Tamás Hungary 11 106 0.3× 16 0.2× 145 2.2× 35 0.6× 44 0.8× 33 412
Jaana Helenius‐Hietala Finland 11 119 0.4× 187 2.7× 147 2.2× 38 0.7× 40 0.8× 22 578
Jeffrey M. Curtis United States 11 92 0.3× 12 0.2× 199 3.0× 38 0.7× 93 1.8× 15 457
Amit Narang India 10 115 0.4× 122 1.7× 5 0.1× 52 0.9× 49 0.9× 36 411
Arturo R. Rolla United States 9 154 0.5× 9 0.1× 136 2.0× 61 1.1× 34 0.6× 24 528
Saleh Aldasouqi United States 12 203 0.7× 23 0.3× 5 0.1× 48 0.8× 27 0.5× 43 440
Mineaki Kitamura Japan 12 23 0.1× 34 0.5× 54 0.8× 48 0.8× 37 0.7× 78 470

Countries citing papers authored by Di Teng

Since Specialization
Citations

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

Fields of papers citing papers by Di Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Di Teng. A scholar is included among the top collaborators of Di 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 Di Teng. Di 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.
Liu, Siying, Tingting Liu, Di Teng, et al.. (2025). Associations of socioeconomic status and healthy lifestyle with incident early-onset and late-onset hypertension: a nationwide prospective cohort study in the UK. Population Health Metrics. 23(1). 24–24. 1 indexed citations
2.
Yang, Dongyu, et al.. (2025). Assessing thyroid health: phenotypic age compared to chronological age. Frontiers in Endocrinology. 16. 1594139–1594139. 1 indexed citations
3.
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
4.
Zhang, Xueqi, et al.. (2023). The Relationship between Thyrotropin Serum Concentrations and Thyroid Carcinoma. Cancers. 15(20). 5017–5017. 3 indexed citations
5.
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
6.
Jin, Chenye, Yaxin Lai, Yongze Li, et al.. (2023). Changes in the prevalence of diabetes and control of risk factors for diabetes among Chinese adults from 2007 to 2017: An analysis of repeated national cross‐sectional surveys. Journal of Diabetes. 16(2). e13492–e13492. 11 indexed citations
7.
Teng, Di, et al.. (2023). Influencing Factors and New Reference Intervals of Adult Thyroid Volume in Iodine-Sufficient Areas of China. Biological Trace Element Research. 201(12). 5652–5661. 2 indexed citations
8.
Li, Jiashu, Yongze Li, Xiaoguang Shi, et al.. (2023). Prevalence and risk factors of hypothyroidism after universal salt iodisation: a large cross-sectional study from 31 provinces of China. BMJ Open. 13(2). e064613–e064613. 6 indexed citations
9.
Song, Bo, et al.. (2023). Association between different metabolic phenotypes of obesity and thyroid disorders among Chinese adults: a nationwide cross-sectional study. Frontiers in Endocrinology. 14. 1158013–1158013. 10 indexed citations
10.
Zhang, Fan, Di Teng, Nanwei Tong, et al.. (2022). Gender-Specific Associations Between Metabolic Disorders and Thyroid Nodules: A Cross-Sectional Population-Based Study from China. Thyroid. 32(5). 571–580. 13 indexed citations
11.
12.
Li, Yongze, Di Teng, Xiaoguang Shi, et al.. (2021). Changes in the prevalence of obesity and hypertension and demographic risk factor profiles in China over 10 years: two national cross-sectional surveys. The Lancet Regional Health - Western Pacific. 15. 100227–100227. 37 indexed citations
13.
Zhang, Fan, Xiaohui Yu, Xichang Wang, et al.. (2021). Using Tumor-Infiltrating Immune Cells and a ceRNA Network Model to Construct a Prognostic Analysis Model of Thyroid Carcinoma. Frontiers in Oncology. 11. 658165–658165. 15 indexed citations
14.
15.
Li, Yongze, Di Teng, Haixia Guan, et al.. (2020). Dynamic Changes in Antithyroperoxidase and Antithyroglobulin Antibodies Suggest an Increased Risk for Abnormal Thyrotropin Levels. Frontiers in Endocrinology. 11. 521–521. 6 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.
Li, Qian, Chunling Pan, Di Teng, et al.. (2013). Porphyromonas gingivalis modulates Pseudomonas aeruginosa-induced apoptosis of respiratory epithelial cells through the STAT3 signaling pathway. Microbes and Infection. 16(1). 17–27. 37 indexed citations
18.
Pan, Yaping, et al.. (2008). Oral bacteria modulate invasion and induction of apoptosis in HEp-2 cells by Pseudomonas aeruginosa. Microbial Pathogenesis. 46(2). 73–79. 49 indexed citations
19.
Wang, Hongyan, Yaping Pan, Di Teng, Jian Zhao, & Li Lin. (2008). [The relativity between chronic periodontitis and the genetic polymorphisms of vitamin D receptor and estrogen receptor].. PubMed. 43(4). 236–9. 7 indexed citations
20.
Yang, Fan, Zhongyan Shan, Xiaochun Teng, et al.. (2007). Chronic iodine excess does not increase the incidence of hyperthyroidism: a prospective community-based epidemiological survey in China. European Journal of Endocrinology. 156(4). 403–408. 35 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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