Kai Lü

1.0k citations
50 papers · 741 · h-index 17

Impact in

Papers in

    • Pluripotent Stem Cells Research 13
    • RNA modifications and cancer 4
    • Advancements in Semiconductor Devices and Circuit Design 14
    • Semiconductor materials and devices 12
    • Integrated Circuits and Semiconductor Failure Analysis 6

Kai Lü

42 papers receiving 722 citations

Peers

Kai Lü
Comparison fields: 5 of 103
  • Genetics 135
  • Biomaterials 68
  • Urology 28
  • Biomedical Engineering 205
  • Molecular Biology 302
Replace Lijuan He with:
Lijuan He United States
Kévin Montagne Japan
P. A. Karalkin Russia
Hélène Burckel France
Shreya Raghavan United States
Kathleen J. Doane United States
Olga Ilina Netherlands
Eleanor Knight United Kingdom
Jeffrey W. Daulton United States
Eelco Fennema Netherlands
Kai Lü relative to Lijuan He United States Lijuan He's profile →
Citations per field
00.5×3.5×
Lijuan He · 1×
Citations per year

Countries citing papers authored by Kai Lü

Since Specialization
Citations

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

Fields of papers citing papers by Kai Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Lü, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Lü Line = papers co-authored together Kai Lü links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200874
2 200953
3 200853
4 200946
5 201240
6 201039
7 201835
8 201131
9 201529
10 200726
11 201826
12 200925
13 200923
14 200821
15 200820
16 201920
17 202119
18 202516
19 201415
20 200815

About Kai Lü

Kai Lü is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Biomedical Engineering, Surgery and Genetics, having authored 50 papers that have together received 741 indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (14 papers), Pluripotent Stem Cells Research (13 papers), Semiconductor materials and devices (12 papers), 3D Printing in Biomedical Research (11 papers), Tissue Engineering and Regenerative Medicine (8 papers), Integrated Circuits and Semiconductor Failure Analysis (6 papers), Mesenchymal stem cell research (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Genetics (135 citations), Biomaterials (68 citations), Urology (28 citations), Biomedical Engineering (205 citations) and Molecular Biology (302 citations). Kai Lü has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include Tong Cao, Boon Chin Heng, Wei Seong Toh, Hua Liu, Zigang Ge, Xin Fu, Abdul Jalil Rufaihah, Paul A. MacAry, D.M. Kemeny and Ximin Guo. Their work appears in journals such as IEEE Transactions on Electron Devices, Chinese Physics Letters, Tissue Engineering Part C Methods, ECS Journal of Solid State Science and Technology and Journal of Cellular and Molecular Medicine.

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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