Wencong Lv

462 total citations
10 papers, 322 citations indexed

About

Wencong Lv is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Wencong Lv has authored 10 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Wencong Lv's work include Diabetes Management and Research (3 papers), Diabetes and associated disorders (2 papers) and Diabetes Management and Education (2 papers). Wencong Lv is often cited by papers focused on Diabetes Management and Research (3 papers), Diabetes and associated disorders (2 papers) and Diabetes Management and Education (2 papers). Wencong Lv collaborates with scholars based in China, United States and Hong Kong. Wencong Lv's co-authors include Zhao‐Qiu Wu, Rong Fu, Tao Lu, Nan Jiang, Hongmei Li, Lei Di, Ying Xu, Xiaojie Chen, Ran Mo and Stephen J. Weiss and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Science Advances.

In The Last Decade

Wencong Lv

9 papers receiving 317 citations

Peers

Wencong Lv

MB

ONCOL

CR

IMMUN

BE

Feng Dong China

Xiaoyue Wei China

Karolina Przybyłowska-Sygut Poland

Changjun Zheng China

Andreas Spannbauer Austria

Hong Seo Lim United States

Jiarui Cui China

Liliana Cantini United States

Justin La United States

Daohu Wang China

Feng Dong China

Wencong Lv

259 ×1.5

MB

57 ×0.6

ONCOL

63 ×0.9

CR

31 ×0.6

IMMUN

47 ×1.2

BE

Citations per year, relative to Wencong Lv Wencong Lv (= 1×) peers Feng Dong

Countries citing papers authored by Wencong Lv

Since Specialization

Citations

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

Fields of papers citing papers by Wencong Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wencong Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Wencong Lv. A scholar is included among the top collaborators of Wencong Lv 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 Wencong Lv. Wencong Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Guo, Jia, et al.. (2022). Biological and sociocultural determinants of increased blood pressure among women with a history of gestational diabetes mellitus in rural China: a retrospective cohort study. BMJ Open. 12(1). e049625–e049625. 1 indexed citations

2.

Chen, Yao, Yuanyuan Jiang, Xiaoxi Yao, et al.. (2022). Proportion and risk factors of diabetic retinopathy by stage in less-developed rural areas of Hunan province of China: A multi-site cross-sectional study. BMC Public Health. 22(1). 1871–1871.

3.

Lv, Wencong, et al.. (2021). Factors Associated with Adherence to Self-Monitoring of Blood Glucose Among Young People with Type 1 Diabetes in China: A Cross-Sectional Study. Patient Preference and Adherence. Volume 15. 2809–2819. 7 indexed citations

4.

Lv, Wencong, et al.. (2021). Instrument Context Relevance Evaluation, Translation, and Psychometric Testing of the Diabetes Eating Problem Survey-Revised (DEPS-R) among People with Type 1 Diabetes in China. International Journal of Environmental Research and Public Health. 18(7). 3450–3450. 19 indexed citations

5.

Wang, Hongjuan, Jia Guo, Yi Guo, et al.. (2021). Effectiveness of Family Systems Theory Interventions on Adolescents with Type 1 Diabetes: A Meta-analysis. Journal of Child and Family Studies. 30(11). 2664–2676. 2 indexed citations

6.

Li, Hongmei, Li Yang, Rong Fu, et al.. (2020). A potent CBP/p300-Snail interaction inhibitor suppresses tumor growth and metastasis in wild-type p53-expressing cancer. Science Advances. 6(17). eaaw8500–eaaw8500. 40 indexed citations

7.

Fu, Rong, Yi Li, Nan Jiang, et al.. (2020). Inactivation of endothelial ZEB1 impedes tumor progression and sensitizes tumors to conventional therapies. Journal of Clinical Investigation. 130(3). 1252–1270. 35 indexed citations

8.

Fu, Rong, Wencong Lv, Ying Xu, et al.. (2020). Endothelial ZEB1 promotes angiogenesis-dependent bone formation and reverses osteoporosis. Nature Communications. 11(1). 460–460. 130 indexed citations

9.

Fu, Rong, Ting Ni, Lei Di, et al.. (2019). A ZEB1/p53 signaling axis in stromal fibroblasts promotes mammary epithelial tumours. Nature Communications. 10(1). 3210–3210. 45 indexed citations

10.

Fu, Rong, Yiwei Zhang, Hongmei Li, et al.. (2018). LW106, a novel indoleamine 2,3‐dioxygenase 1 inhibitor, suppresses tumour progression by limiting stroma‐immune crosstalk and cancer stem cell enrichment in tumour micro‐environment. British Journal of Pharmacology. 175(14). 3034–3049. 43 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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