Jian Chai

1.5k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Jian Chai is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Jian Chai has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Genetics. Recurrent topics in Jian Chai's work include RNA modifications and cancer (5 papers), Congenital heart defects research (3 papers) and Thyroid Disorders and Treatments (3 papers). Jian Chai is often cited by papers focused on RNA modifications and cancer (5 papers), Congenital heart defects research (3 papers) and Thyroid Disorders and Treatments (3 papers). Jian Chai collaborates with scholars based in China, Taiwan and France. Jian Chai's co-authors include Muthu K. Shanmugam, Pei Pei Chong, Chung Yeng Looi, Won Fen Wong, Gautam Sethi, Ting Tang, Hans‐Richard Rackwitz, G. Zehetner, Hajo Delius and Anna‐Maria Frischauf and has published in prestigious journals such as Scientific Reports, Gene and Functional Ecology.

In The Last Decade

Jian Chai

14 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The E-Cadherin and N-Cadherin Switch in Epithelial-to-Mesenchymal Transition: Signaling, Therapeutic Implications, and Challenges

2019 920 citations Jian Chai, Ting Tang et al. Cells profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jian Chai China	7	687	315	283	127	115	16	1.1k
Marten Hornsveld Netherlands	13	811 1.2×	366 1.2×	325 1.1×	115 0.9×	90 0.8×	20	1.2k
Shing Leng Chan Singapore	22	977 1.4×	375 1.2×	258 0.9×	152 1.2×	104 0.9×	33	1.4k
Rama Kamesh Bikkavilli United States	18	1.1k 1.7×	254 0.8×	231 0.8×	142 1.1×	109 0.9×	27	1.5k
Lluís López-Barcons United States	16	742 1.1×	305 1.0×	186 0.7×	103 0.8×	188 1.6×	44	1.3k
E. Ahn United States	22	869 1.3×	210 0.7×	262 0.9×	167 1.3×	84 0.7×	55	1.4k
Fangfang Liu China	24	761 1.1×	350 1.1×	471 1.7×	141 1.1×	115 1.0×	73	1.4k
Ashraful Islam United States	7	939 1.4×	316 1.0×	301 1.1×	104 0.8×	77 0.7×	12	1.2k
Vishva M. Sharma United States	17	843 1.2×	236 0.7×	233 0.8×	85 0.7×	116 1.0×	26	1.4k
Pan Tong China	18	608 0.9×	326 1.0×	253 0.9×	98 0.8×	172 1.5×	48	1.1k
Mona L. Gauthier United States	18	591 0.9×	426 1.4×	321 1.1×	107 0.8×	103 0.9×	18	1.1k

Countries citing papers authored by Jian Chai

Since Specialization

Citations

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

Fields of papers citing papers by Jian Chai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Chai

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Weng, Shanshan, et al.. (2025). Elevated Expression of EphA10 in Gastric Cancer Tissues: A Potential Biomarker for Tumor Metastasis and Poor Survival. The Tohoku Journal of Experimental Medicine. 1 indexed citations

Chai, Jian, Yining Sun, Liheng He, et al.. (2025). The Advancements of Marine Natural Products in the Treatment of Alzheimer’s Disease: A Study Based on Cell and Animal Experiments. Marine Drugs. 23(3). 91–91. 6 indexed citations

Du, Ning, et al.. (2024). High expression of YEATS2 as a predictive factor of poor prognosis in patients with hepatocellular carcinoma. Scientific Reports. 14(1). 17246–17246. 1 indexed citations

Zhang, Hong, et al.. (2024). On innovative strategies of youth sports teaching and training based on the internet of things and artificial intelligence technology from the perspective of humanism. Learning and Motivation. 86. 101969–101969. 4 indexed citations

Guo, Xing, et al.. (2023). Identification of key immune genes related to lymphatic metastasis of papillary thyroid cancer via bioinformatics analysis and experimental validation. Frontiers in Oncology. 13.

Yuan, Fengjiao, et al.. (2022). NTN4 as a prognostic marker and a hallmark for immune infiltration in breast cancer. Scientific Reports. 12(1). 10567–10567. 10 indexed citations

Chai, Jian, et al.. (2022). High expression of caspase‐8 as a predictive factor of poor prognosis in patients with esophageal cancer. Cancer Medicine. 12(6). 7651–7666. 6 indexed citations

Chai, Jian, Ting Tang, Won Fen Wong, et al.. (2019). The E-Cadherin and N-Cadherin Switch in Epithelial-to-Mesenchymal Transition: Signaling, Therapeutic Implications, and Challenges. Cells. 8(10). 1118–1118. 920 indexed citations breakdown →

Liu, Shiguo, et al.. (2016). Screening of HHEX Mutations in Chinese Children with Thyroid Dysgenesis. Journal of Clinical Research in Pediatric Endocrinology. 8(1). 21–25. 5 indexed citations

10.

Chai, Jian, et al.. (2015). [DUOX2 mutations in children with congenital hypothyroidism].. PubMed. 17(1). 40–4. 5 indexed citations

11.

Zou, Hui, et al.. (2015). A De novo PAX8 mutation in a Chinese child with congenital thyroid dysgenesis.. PubMed. 8(9). 11434–9. 8 indexed citations

12.

Yu, Xiaoxia, et al.. (2014). Screening of NKX2.5 mutations in patients with congenital hypothyroidism combined with thyroid ectopy. Zhonghua shiyong erke linchuang zazhi. 29(8). 586–589.

13.

Chai, Jian, et al.. (2006). Adaptive functions of defensive plant phenolics and a non‐linear bee response to nectar components. Functional Ecology. 21(1). 96–100. 35 indexed citations

14.

Ma, Ling, Wei Jin, Liu L, et al.. (2000). Mitochondrial gene variation in type 2 diabetes mellitus: detection of a novel mutation associated with maternally inherited diabetes in a Chinese family.. PubMed. 113(2). 111–6. 2 indexed citations

15.

Chai, Jian, et al.. (1999). [Protective effects of leishmanial antigens against Leishmania infantum infection in Lagurus lagurus].. PubMed. 17(4). 237–40. 2 indexed citations

16.

Rackwitz, Hans‐Richard, G. Zehetner, Helios Murialdo, et al.. (1985). Analysis of cosmids using linearization by phage lambda terminase. Gene. 40(2-3). 259–266. 98 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