Jia Le Dai

3.1k total citations · 1 hit paper
37 papers, 2.6k citations indexed

About

Jia Le Dai is a scholar working on Molecular Biology, Clinical Biochemistry and Pathology and Forensic Medicine. According to data from OpenAlex, Jia Le Dai has authored 37 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Clinical Biochemistry and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Jia Le Dai's work include Metabolism and Genetic Disorders (9 papers), Mitochondrial Function and Pathology (7 papers) and Cancer-related gene regulation (7 papers). Jia Le Dai is often cited by papers focused on Metabolism and Genetic Disorders (9 papers), Mitochondrial Function and Pathology (7 papers) and Cancer-related gene regulation (7 papers). Jia Le Dai collaborates with scholars based in United States, China and Netherlands. Jia Le Dai's co-authors include Scott E. Kern, Phillip Buckhaults, Leigh Zawel, Shibin Zhou, Kenneth W. Kinzler, Bert Vogelstein, Yong Pan, Ayşegül A. Şahin, Yunfei Yuan and Kerry L. Burnstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Jia Le Dai

36 papers receiving 2.5k citations

Hit Papers

Human Smad3 and Smad4 Are... 1998 2026 2007 2016 1998 250 500 750
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.

  1. Human Smad3 and Smad4 Are Sequence-Specific Transcription Activators
    1998 849 citations Jia Le Dai, Scott E. Kern et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia Le Dai United States 23 1.9k 796 428 351 219 37 2.6k
David G. Pisano Spain 34 2.0k 1.1× 521 0.7× 364 0.9× 718 2.0× 248 1.1× 65 3.0k
Frauke Bataille Germany 28 1.4k 0.7× 770 1.0× 366 0.9× 389 1.1× 294 1.3× 41 2.6k
Patrick Franken Netherlands 22 1.0k 0.5× 668 0.8× 359 0.8× 315 0.9× 234 1.1× 37 1.7k
Ka Yin Kwong United States 14 1.7k 0.9× 1.2k 1.5× 290 0.7× 353 1.0× 189 0.9× 17 2.7k
Levi J. Beverly United States 28 1.7k 0.9× 601 0.8× 303 0.7× 403 1.1× 113 0.5× 65 2.7k
Mark D’Amico United States 14 2.7k 1.4× 1.0k 1.3× 234 0.5× 461 1.3× 360 1.6× 15 3.3k
Thomas Botton France 12 1.2k 0.6× 821 1.0× 245 0.6× 702 2.0× 266 1.2× 14 2.1k
Teijo Kuopio Finland 25 791 0.4× 886 1.1× 409 1.0× 636 1.8× 274 1.3× 119 2.2k
Ji Shin Lee South Korea 27 1.0k 0.5× 600 0.8× 292 0.7× 536 1.5× 141 0.6× 90 1.9k
Jan Oosting Netherlands 32 1.1k 0.6× 767 1.0× 385 0.9× 673 1.9× 275 1.3× 73 2.5k

Countries citing papers authored by Jia Le Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jia Le Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Le Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Le Dai. A scholar is included among the top collaborators of Jia Le Dai 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 Jia Le Dai. Jia Le Dai 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
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Qiu, Jingxuan, Hao Ding, Jia Le Dai, et al.. (2024). PB-LKS: a python package for predicting phage–bacteria interaction through local K-mer strategy. Briefings in Bioinformatics. 25(2). 7 indexed citations
3.
Bai, Jing, Qian Gao, Chen Wang, & Jia Le Dai. (2019). Diabetes mellitus and risk of low-energy fracture: a meta-analysis. Aging Clinical and Experimental Research. 32(11). 2173–2186. 48 indexed citations
4.
Lin, Wei, Jia Le Dai, Yanfeng Wang, et al.. (2018). Clinical effect of locking compression plate via posterolateral approach in the treatment of distal femoral fractures: a new approach. Journal of Orthopaedic Surgery and Research. 13(1). 57–57. 7 indexed citations
5.
Lu, Jianyi, Min Zhang, Yongliang Zhang, et al.. (2015). SIRT1 in B[a]P-induced lung tumorigenesis. Oncotarget. 6(29). 27113–27129. 19 indexed citations
6.
Mauch, Matthias, Chris Cannam, Rachel Bittner, et al.. (2015). Computer-Aided Melody Note Transcription Using The Tony Software: Accuracy And Efficiency. Queen Mary Research Online (Queen Mary University of London). 65 indexed citations
7.
Hong, Jian, Yunfei Yuan, Jianping Wang, et al.. (2014). Expression of Variant Isoforms of the Tyrosine Kinase SYK Determines the Prognosis of Hepatocellular Carcinoma. Cancer Research. 74(6). 1845–1856. 37 indexed citations
8.
Hostetler, Heather A., Jia Le Dai, Gregory G. Martin, et al.. (2011). Acyl-CoA binding proteins interact with the acyl-CoA binding domain of mitochondrial carnitine palmitoyl transferase I. Molecular and Cellular Biochemistry. 355(1-2). 135–148. 36 indexed citations
9.
Pan, Yong, Lei Wang, & Jia Le Dai. (2006). Suppression of breast cancer cell growth by Na+/H+ exchanger regulatory factor 1 (NHERF1). Breast Cancer Research. 8(6). R63–R63. 45 indexed citations
10.
Wang, Lei, Yong Pan, & Jia Le Dai. (2004). Evidence of MKK4 pro-oncogenic activity in breast and pancreatic tumors. Oncogene. 23(35). 5978–5985. 89 indexed citations
11.
Dai, Jia Le. (2004). Serial Analyses of Gene Expression (SAGE). Humana Press eBooks. 103. 161–174. 3 indexed citations
12.
Liu, Hong Yan, et al.. (2004). Cysteine-scanning Mutagenesis of Muscle Carnitine Palmitoyltransferase I Reveals a Single Cysteine Residue (Cys-305) Is Important for Catalysis. Journal of Biological Chemistry. 280(6). 4524–4531. 12 indexed citations
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Dai, Jia Le, et al.. (2003). Leucine-764 near the extreme C-terminal end of carnitine palmitoyltransferase I is important for activity. Biochemical and Biophysical Research Communications. 301(3). 758–763. 5 indexed citations
16.
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Dai, Jia Le, et al.. (2000). Identification by Mutagenesis of Conserved Arginine and Tryptophan Residues in Rat Liver Carnitine Palmitoyltransferase I Important for Catalytic Activity. Journal of Biological Chemistry. 275(29). 22020–22024. 22 indexed citations
18.
Grad, Jennifer M., Jia Le Dai, Shu Wu, & Kerry L. Burnstein. (1999). Multiple Androgen Response Elements and a Myc Consensus Site in the Androgen Receptor (AR) Coding Region Are Involved in Androgen-Mediated Up-Regulation of AR Messenger RNA. Molecular Endocrinology. 13(11). 1896–1911. 102 indexed citations
19.
Dai, Jia Le, et al.. (1999). Transforming growth factor-? responsiveness inDPC4/SMAD4-null cancer cells. Molecular Carcinogenesis. 26(1). 37–43. 74 indexed citations
20.
Dai, Jia Le, et al.. (1996). Androgenic up-regulation of androgen receptor cDNA expression in androgen-independent prostate cancer cells. Steroids. 61(9). 531–539. 73 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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