Lisong Teng

2.5k total citations · 1 hit paper
64 papers, 2.0k citations indexed

About

Lisong Teng is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Lisong Teng has authored 64 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 23 papers in Oncology and 21 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Lisong Teng's work include Thyroid Cancer Diagnosis and Treatment (21 papers), Estrogen and related hormone effects (7 papers) and Cytokine Signaling Pathways and Interactions (6 papers). Lisong Teng is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (21 papers), Estrogen and related hormone effects (7 papers) and Cytokine Signaling Pathways and Interactions (6 papers). Lisong Teng collaborates with scholars based in China, United States and Taiwan. Lisong Teng's co-authors include Thomas J. Fahey, Olga Tucker, Andrew J. Dannenberg, Alane Koki, Jaime L. Masferrer, B. Mark Woerner, Robert A. Soslow, Eun Kyung Yang, Fan Zhang and J.M. Daly and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Cancer.

In The Last Decade

Lisong Teng

61 papers receiving 2.0k citations

Hit Papers

Cyclooxygenase-2 expression is up-regulated in human panc... 1999 2026 2008 2017 1999 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisong Teng China 25 681 555 513 503 396 64 2.0k
Xianzhong Ding United States 25 794 1.2× 504 0.9× 555 1.1× 296 0.6× 141 0.4× 65 1.9k
Ingalill Avis United States 19 911 1.3× 425 0.8× 320 0.6× 203 0.4× 133 0.3× 42 1.8k
Russell F. Jacoby United States 17 703 1.0× 734 1.3× 580 1.1× 457 0.9× 63 0.2× 28 2.0k
Phyllis H. Luckert United States 27 496 0.7× 384 0.7× 466 0.9× 415 0.8× 252 0.6× 42 1.8k
Charlotta Dabrosin Sweden 29 1.0k 1.5× 875 1.6× 109 0.2× 652 1.3× 151 0.4× 64 2.6k
Thoralf Christoffersen Norway 31 1.3k 1.9× 766 1.4× 186 0.4× 167 0.3× 183 0.5× 107 2.6k
Marta Casado Spain 28 1.0k 1.5× 167 0.3× 283 0.6× 225 0.4× 205 0.5× 75 2.3k
Xianzhong Ding United States 23 843 1.2× 355 0.6× 226 0.4× 129 0.3× 82 0.2× 39 1.4k
Kiyomu Fujii Japan 28 888 1.3× 380 0.7× 143 0.3× 98 0.2× 116 0.3× 75 1.9k
Shigehiko Mukai Japan 11 597 0.9× 386 0.7× 917 1.8× 559 1.1× 48 0.1× 18 1.8k

Countries citing papers authored by Lisong Teng

Since Specialization
Citations

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

Fields of papers citing papers by Lisong Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisong Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Lisong Teng. A scholar is included among the top collaborators of Lisong 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 Lisong Teng. Lisong 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.
3.
Chen, Yiran, Yangyang Zheng, Yongfeng Ding, et al.. (2025). Sialic acid metabolism-based classification reveals novel metabolic subtypes with distinct characteristics of tumor microenvironment and clinical outcomes in gastric cancer. Cancer Cell International. 25(1). 61–61. 1 indexed citations
4.
Yang, Jinsong, et al.. (2023). EIF5A2 Promotes Doxorubicin Resistance in Bladder Cancer Cells through the TGF-β Signaling Pathway. Discovery Medicine. 35(179). 1167–1167. 5 indexed citations
5.
Ding, Yongfeng, Yu Zhang, Qihan You, et al.. (2023). Combined fine-needle aspiration and selective intraoperative frozen section to optimize prediction of malignant thyroid nodules: A retrospective cohort study of more than 3000 patients. Frontiers in Endocrinology. 14. 1091200–1091200. 5 indexed citations
6.
Mo, Zhe, Jie Zhou, Zhendong Chen, et al.. (2023). Long-term impact of prophylactic central neck dissection in non-invasive classic papillary thyroid carcinoma. European Journal of Surgical Oncology. 50(1). 107305–107305.
7.
Chen, Zhendong, Honghong Zhu, Zhongqi Li, et al.. (2021). A Comparison of the Seventh and Eighth Editions of the AJCC Staging Systems to Predict Recurrence in Papillary Thyroid Microcarcinoma. Annals of Surgical Oncology. 28(11). 6564–6571. 5 indexed citations
8.
Zeng, Yue, Chih‐Hsin Tang, Yan Wang, et al.. (2020). Combined High Resistin and EGFR Expression Predicts a Poor Prognosis in Breast Cancer. BioMed Research International. 2020(1). 8835398–8835398. 11 indexed citations
9.
Zhang, Junbin, Yongfeng Ding, Weibin Wang, et al.. (2020). Combining the Fibrinogen/Albumin Ratio and Systemic Inflammation Response Index Predicts Survival in Resectable Gastric Cancer. Gastroenterology Research and Practice. 2020. 1–9. 28 indexed citations
10.
Zhou, Jie, Wenyi Zhao, Jingcheng Wu, et al.. (2019). Neoantigens Derived from Recurrently Mutated Genes as Potential Immunotherapy Targets for Gastric Cancer. BioMed Research International. 2019. 1–11. 24 indexed citations
11.
Wu, Lingyan, Muhammad Saif Ur Rahman, Xiaodong Teng, et al.. (2019). Promoter Hypomethylation Is Responsible for Upregulated Expression of HAI-1 in Hepatocellular Carcinoma. Disease Markers. 2019. 1–12. 9 indexed citations
12.
Teng, Lisong, Xingyun Su, Xiaoxia Jiang, et al.. (2016). Diagnostic value of BRAFV600E-mutation analysis in fine-needle aspiration of thyroid nodules: a meta-analysis. OncoTargets and Therapy. 9. 2495–2495. 29 indexed citations
14.
Hua, Hanju, Wenbin Chen, Ling Shen, Qinsong Sheng, & Lisong Teng. (2013). Honokiol augments the anti-cancer effects of oxaliplatin in colon cancer cells. Acta Biochimica et Biophysica Sinica. 45(9). 773–779. 24 indexed citations
15.
Li, Guangliang, Jing Zhang, Ketao Jin, et al.. (2013). Estrogen receptor‐α36 is involved in development of acquired tamoxifen resistance via regulating the growth status switch in breast cancer cells. Molecular Oncology. 7(3). 611–624. 62 indexed citations
16.
Wang, Wenqi, Quan Zhong, Lisong Teng, et al.. (2013). Mutations that disrupt PHOXB interaction with the neuronal calcium sensor HPCAL1 impede cellular differentiation in neuroblastoma. Oncogene. 33(25). 3316–3324. 24 indexed citations
17.
Jiang, Weiqin, Weibin Wang, Fangfang Fu, et al.. (2012). A more sensitive platform for the detection of low-abundance BRAFV600E mutations. Molecular and Cellular Biochemistry. 366(1-2). 49–58. 8 indexed citations
18.
Mou, Xiaozhou, Ling Chen, Fanlong Liu, et al.. (2012). Prevalence of JC Virus in Chinese Patients with Colorectal Cancer. PLoS ONE. 7(5). e35900–e35900. 45 indexed citations
19.
Wang, Weibin, Wenhe Zhao, Haiyong Wang, et al.. (2011). Poorer Prognosis and Higher Prevalence of BRAF V600E Mutation in Synchronous Bilateral Papillary Thyroid Carcinoma. Annals of Surgical Oncology. 19(1). 31–36. 47 indexed citations
20.
Wu, Fusheng, et al.. (2007). Calcitriol inhibits the growth of MHCC97 heptocellular cell lines by down‐modulating c‐met and ERK expressions. Liver International. 27(5). 700–707. 21 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