Jia Le Dai

3.1k citations
37 papers · 2.6k indexed · 1 hit paper · h-index 23
Topics
Metabolism and Genetic Disorders (9 papers)Mitochondrial Function and Pathology (7 papers)Cancer-related gene regulation (7 papers)

In The Last Decade

Jia Le Dai

36 papers receiving 2.5k citations

Hit Papers

Human Smad3 and Smad4 Are Sequence-Specific Transcription...19982026200720161998250500750

Peers

Jia Le Dai
Comparison fields: 5 of 106
  • Molecular Biology 1.9k
  • Oncology 796
  • Pathology and Forensic Medicine 428
  • Cancer Research 351
  • Genetics 219
Replace Anna C. Schinzel with:
Anna C. Schinzel United States
Jianyin Long United States
Levi J. Beverly United States
Steven Swendeman United States
Roger A. Moorehead Canada
Karen Swisshelm United States
Sheri L. Holmen United States
Sami Kilpinen Finland
Gregor Krings United States
Irene Newsham United States
Jia Le Dai relative to Anna C. Schinzel United States Anna C. Schinzel's profile →
Citations per field
00.5×1.7×
Anna C. Schinzel · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 7
3 5
4 48
5 7
6 37
7 36
8 40
9 44
10 45
11 89
12 71
13 3
14 5
15 18
16 11
17 22
18 250
19 102
20 74

About Jia Le Dai

Jia Le Dai is a scholar working on Clinical Biochemistry, Molecular Biology and Pathology and Forensic Medicine, having authored 37 papers that have together received 2.6k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (9 papers), Mitochondrial Function and Pathology (7 papers) and Cancer-related gene regulation (7 papers). The work is most often cited by research in Oncology (796 citations), Molecular Biology (1.9k citations) and Pathology and Forensic Medicine (428 citations). Jia Le Dai has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Scott E. Kern, Phillip Buckhaults, Shibin Zhou, Bert Vogelstein, Kenneth W. Kinzler, Leigh Zawel, Yong Pan, Ayşegül A. Şahin, Yunfei Yuan and Kerry L. Burnstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.

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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