Chiju Wei

1.3k total citations
52 papers, 1.1k citations indexed

About

Chiju Wei is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Chiju Wei has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Surgery and 15 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Chiju Wei's work include Pancreatic function and diabetes (17 papers), Diabetes and associated disorders (8 papers) and Metabolism, Diabetes, and Cancer (6 papers). Chiju Wei is often cited by papers focused on Pancreatic function and diabetes (17 papers), Diabetes and associated disorders (8 papers) and Metabolism, Diabetes, and Cancer (6 papers). Chiju Wei collaborates with scholars based in China, United States and Slovenia. Chiju Wei's co-authors include Marvin C. Gershengorn, Bernice Marcus‐Samuels, Elizabeth Geras‐Raaka, Anandwardhan A. Hardikar, Bruce M. Raaka, Wencan Xu, Irving Goldschneider, Yu‐Cai Fu, Richard R. Hardy and Kyoko Hayakawa and has published in prestigious journals such as Science, The Journal of Immunology and PLoS ONE.

In The Last Decade

Chiju Wei

50 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiju Wei China 15 454 365 266 239 218 52 1.1k
Satoshi Fujimura Japan 17 309 0.7× 451 1.2× 245 0.9× 246 1.0× 124 0.6× 46 974
Lindsey E. Padgett United States 15 240 0.5× 270 0.7× 224 0.8× 138 0.6× 534 2.4× 24 1.1k
James F. Mohan United States 13 280 0.6× 283 0.8× 400 1.5× 179 0.7× 612 2.8× 18 1.2k
Vivekananda Gupta Sunkari Sweden 16 175 0.4× 428 1.2× 111 0.4× 247 1.0× 78 0.4× 22 1.2k
Uriel Barkai United States 19 689 1.5× 276 0.8× 440 1.7× 407 1.7× 122 0.6× 31 1.1k
Guy P. Marti United States 20 176 0.4× 450 1.2× 168 0.6× 87 0.4× 78 0.4× 40 1.2k
Yifan Zhang China 19 183 0.4× 405 1.1× 94 0.4× 207 0.9× 74 0.3× 116 1.1k
Kin Lam Fok Hong Kong 22 145 0.3× 605 1.7× 192 0.7× 46 0.2× 302 1.4× 51 1.5k
Tiziano Baroni Italy 23 235 0.5× 583 1.6× 421 1.6× 46 0.2× 85 0.4× 74 1.5k
Yewei Ji United States 12 297 0.7× 179 0.5× 132 0.5× 111 0.5× 287 1.3× 13 869

Countries citing papers authored by Chiju Wei

Since Specialization
Citations

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

Fields of papers citing papers by Chiju Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiju Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Chiju Wei. A scholar is included among the top collaborators of Chiju Wei 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 Chiju Wei. Chiju Wei 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.
Huang, Alex Y., et al.. (2025). Effects of a PDGF-stem cell-hydrogel compound on skin wound healing in mice. Cytotherapy. 27(5). 609–618.
2.
Lan, Yulong, Shuohua Chen, Xiong Ding, et al.. (2024). Measurement of cumulative high-sensitivity C-reactive protein and monocyte to high-density lipoprotein ratio in the risk prediction of type 2 diabetes: a prospective cohort study. Journal of Translational Medicine. 22(1). 110–110. 4 indexed citations
3.
Xie, Xiaoling, Xiaoling Zhou, Qi Zhou, et al.. (2022). Direct Differentiation of Human Embryonic Stem Cells to 3D Functional Hepatocyte-like Cells in Alginate Microencapsulation Sphere. Cells. 11(19). 3134–3134. 10 indexed citations
4.
Xu, Liqun, et al.. (2022). Membrane tethering of CreER decreases uninduced cell labeling and cytotoxicity while maintaining recombination efficiency. Molecular Therapy — Nucleic Acids. 27. 1078–1091.
5.
Li, Zexin, et al.. (2022). The association of uric acid with the development of thyroid nodules: a retrospective cohort study. BMC Endocrine Disorders. 22(1). 197–197. 6 indexed citations
6.
Chen, Yixin, Yu Chen, Na Wang, et al.. (2021). Doxycycline in Extremely Low Dose Improves Glycemic Control and Islet Morphology in Mice Fed a High-Fat Diet. Diabetes Metabolic Syndrome and Obesity. Volume 14. 637–646. 7 indexed citations
7.
Li, Zexin, et al.. (2020). The Effect of Inflammation on the Formation of Thyroid Nodules. International Journal of Endocrinology. 2020. 1–9. 8 indexed citations
8.
9.
Chen, Yu, Liqun Xu, Wei Zhang, et al.. (2019). An improved cellular enucleation method with extracellular matrix and colchicine facilitates the study of nucleocytoplasmic interaction. European Journal of Cell Biology. 98(5-8). 151045–151045. 7 indexed citations
10.
Wang, Lin, Zhong Sheng Sun, Chiju Wei, et al.. (2018). Targeted deletion of Insm2 in mice result in reduced insulin secretion and glucose intolerance. Journal of Translational Medicine. 16(1). 297–297. 9 indexed citations
11.
Wei, Chiju, Shuyun Zhao, Fa Sun, et al.. (2017). Evaluation of in vitro fertilization outcomes using interleukin-8 in culture medium of human preimplantation embryos. Fertility and Sterility. 107(3). 649–656. 22 indexed citations
12.
Wang, Na, Yu Chen, Chen Shao-jun, et al.. (2017). Low dose doxycycline decreases systemic inflammation and improves glycemic control, lipid profiles, and islet morphology and function in db/db mice. Scientific Reports. 7(1). 14707–14707. 28 indexed citations
13.
Zaplotnik, Rok, Alenka Vesel, Gregor Primc, et al.. (2016). Rapid Hydrophilization of Model Polyurethane/Urea (PURPEG) Polymer Scaffolds Using Oxygen Plasma Treatment. Polymers. 8(4). 144–144. 2 indexed citations
14.
Wang, Na, Haopeng Lin, Chen Shao-jun, et al.. (2016). Niacin receptor GPR109A inhibits insulin secretion and is down-regulated in type 2 diabetic islet beta-cells. General and Comparative Endocrinology. 237. 98–108. 22 indexed citations
15.
Lin, Haopeng, Dejin Zheng, Na Wang, et al.. (2016). Incorporation of VSV-G produces fusogenic plasma membrane vesicles capable of efficient transfer of bioactive macromolecules and mitochondria. Biomedical Microdevices. 18(3). 41–41. 11 indexed citations
16.
17.
Joglekar, Mugdha V., Chiju Wei, & Anandwardhan A. Hardikar. (2010). Quantitative Estimation of Multiple miRNAs and mRNAs from a Single Cell. Cold Spring Harbor Protocols. 2010(8). pdb.prot5478–pdb.prot5478. 10 indexed citations
18.
Yang, Xiaodi, Hongmin Li, Miao Chen, et al.. (2009). Enhanced insulin production from murine islet beta cells incubated on poly(3‐hydroxybutyrate‐co‐3‐hydroxyhexanoate). Journal of Biomedical Materials Research Part A. 92A(2). 548–555. 9 indexed citations
19.
Wei, Chiju, Laijun Lai, & Irving Goldschneider. (2002). Pre-pro-B Cell Growth-Stimulating Factor (PPBSF) Upregulates IL-7R α Chain Expression and Enables pro-B Cells to Respond to Monomeric IL-7. Journal of Interferon & Cytokine Research. 22(7). 823–832. 7 indexed citations
20.
Wei, Chiju, et al.. (2000). Murine Pro-B Cells Require IL-7 and Its Receptor Complex to Up-Regulate IL-7Rα, Terminal Deoxynucleotidyltransferase, and cμ Expression. The Journal of Immunology. 164(4). 1961–1970. 60 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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