Wei Jia Sun

558 total citations
11 papers, 468 citations indexed

About

Wei Jia Sun is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Wei Jia Sun has authored 11 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Oncology. Recurrent topics in Wei Jia Sun's work include Estrogen and related hormone effects (6 papers), Bone Metabolism and Diseases (5 papers) and Ovarian cancer diagnosis and treatment (2 papers). Wei Jia Sun is often cited by papers focused on Estrogen and related hormone effects (6 papers), Bone Metabolism and Diseases (5 papers) and Ovarian cancer diagnosis and treatment (2 papers). Wei Jia Sun collaborates with scholars based in China. Wei Jia Sun's co-authors include Ling Zhi Li, Ye Qu, Jian Wu, Yue Wang, Wen Xie, Yue Wang, Xiao Lei Zhang, Jing Sun, Yue Wang and Yong Liang Zhang and has published in prestigious journals such as Nature Communications, Cancer Letters and Molecular and Cellular Endocrinology.

In The Last Decade

Wei Jia Sun

10 papers receiving 460 citations

Peers

Wei Jia Sun

MB

ONCOL

IMMUN

CR

RM

Seung-Yon Lee South Korea

Igor Hrgović Germany

Peng Luo China

Can Tan United States

Guihai Ai China

Chie Nakashima Japan

Dongfeng Zhao China

Meiyun Fang China

Chong Lu China

Huan Qiao United States

Seung-Yon Lee South Korea

Wei Jia Sun

280 ×1.3

MB

93 ×0.5

ONCOL

32 ×0.3

IMMUN

104 ×1.2

CR

29 ×0.4

RM

Citations per year, relative to Wei Jia Sun Wei Jia Sun (= 1×) peers Seung-Yon Lee

Countries citing papers authored by Wei Jia Sun

Since Specialization

Citations

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

Fields of papers citing papers by Wei Jia Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Jia Sun. 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 Wei Jia Sun. The network helps show where Wei Jia Sun may publish in the future.

Co-authorship network of co-authors of Wei Jia Sun

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

All Works

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11 of 11 papers shown

1.

Sun, Wei Jia, Libo Jiang, Bing Shan, et al.. (2025). Cooperation of TRADD- and RIPK1-dependent cell death pathways in maintaining intestinal homeostasis. Nature Communications. 16(1). 1890–1890. 8 indexed citations

2.

Sun, Yiting, Qingwei Liu, Junjie Wu, et al.. (2025). IGF2BP3 enhances ferroptosis resistance in colon cancer by stabilizing SLC7A11 and is regulated by miR-98-5p. Frontiers in Oncology. 15. 1576895–1576895.

3.

Dong, Ge, et al.. (2023). Efficacy and safety of ciprofol for agitation and delirium in the ICU: A multicenter, single-blind, 3-arm parallel randomized controlled trial study protocol. Frontiers in Medicine. 9. 1024762–1024762. 8 indexed citations

4.

Jin, Xin, Jing Sun, Bo Yu, et al.. (2017). Daidzein stimulates osteogenesis facilitating proliferation, differentiation, and antiapoptosis in human osteoblast-like MG-63 cells via estrogen receptor–dependent MEK/ERK and PI3K/Akt activation. Nutrition Research. 42. 20–30. 51 indexed citations

5.

Sun, Jing, Wei Jia Sun, Ling Li, et al.. (2016). Daidzein increases OPG/RANKL ratio and suppresses IL-6 in MG-63 osteoblast cells. International Immunopharmacology. 40. 32–40. 35 indexed citations

6.

Wang, Yue, et al.. (2014). Puerarin concurrently stimulates osteoprotegerin and inhibits receptor activator of NF-κB ligand (RANKL) and interleukin-6 production in human osteoblastic MG-63 cells. Phytomedicine. 21(8-9). 1032–1036. 21 indexed citations

7.

Wang, Yue, et al.. (2013). Puerarin stimulates proliferation and differentiation and protects against cell death in human osteoblastic MG-63 cells via ER-dependent MEK/ERK and PI3K/Akt activation. Phytomedicine. 20(10). 787–796. 52 indexed citations

8.

Wang, Yue, Ling Zhi Li, Yong Liang Zhang, et al.. (2011). LC, a novel estrone–rhein hybrid compound, promotes proliferation and differentiation and protects against cell death in human osteoblastic MG-63 cells. Molecular and Cellular Endocrinology. 344(1-2). 59–68. 9 indexed citations

9.

Wang, Yue, et al.. (2011). Autocrine production of interleukin-8 confers cisplatin and paclitaxel resistance in ovarian cancer cells. Cytokine. 56(2). 365–375. 90 indexed citations

10.

Wang, Yue, et al.. (2011). LC, a novel estrone–rhein hybrid compound, concurrently stimulates osteoprotegerin and inhibits receptor activator of NF-κB ligand (RANKL) and interleukin-6 production by human osteoblastic cells. Molecular and Cellular Endocrinology. 337(1-2). 43–51. 13 indexed citations

11.

Wang, Yue, et al.. (2010). Autocrine production of interleukin-6 confers cisplatin and paclitaxel resistance in ovarian cancer cells. Cancer Letters. 295(1). 110–123. 181 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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