Sau Har Lee

54 total papers · 1.1k total citations
34 papers, 721 citations indexed

About

Sau Har Lee is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sau Har Lee has authored 34 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Sau Har Lee's work include MicroRNA in disease regulation (6 papers), Cancer Cells and Metastasis (5 papers) and Phytochemistry and Bioactivity Studies (4 papers). Sau Har Lee is often cited by papers focused on MicroRNA in disease regulation (6 papers), Cancer Cells and Metastasis (5 papers) and Phytochemistry and Bioactivity Studies (4 papers). Sau Har Lee collaborates with scholars based in Malaysia, China and United States. Sau Har Lee's co-authors include Shamala Devi Sekaran, Seok Mui Wang, Indu Bala Jaganath, Rishya Manikam, Jhi Biau Foo, Qi Hao Looi, Jia Xian Law, Pei Pei Chong, Chee Wun How and Chu Xin Ng and has published in prestigious journals such as PLoS ONE, Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Sau Har Lee

31 papers receiving 708 citations

Hit Papers

Chemotherapy: how to redu... 2023 2026 2024 2023 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sau Har Lee 310 137 121 88 77 34 721
J. Yuan 476 1.5× 148 1.1× 214 1.8× 80 0.9× 54 0.7× 36 814
Aied M. Alabsi 240 0.8× 86 0.6× 99 0.8× 48 0.5× 117 1.5× 37 824
Reza Arefnezhad 388 1.3× 167 1.2× 99 0.8× 37 0.4× 67 0.9× 53 853
Chi F. Hung 339 1.1× 84 0.6× 102 0.8× 46 0.5× 59 0.8× 46 889
Chunfang Liu 543 1.8× 72 0.5× 140 1.2× 67 0.8× 52 0.7× 36 818
Guadalupe Herrera 391 1.3× 107 0.8× 87 0.7× 44 0.5× 148 1.9× 56 843
Liang Zhou 461 1.5× 145 1.1× 170 1.4× 62 0.7× 57 0.7× 33 805
Manuela Zonfrillo 337 1.1× 91 0.7× 140 1.2× 34 0.4× 42 0.5× 29 752
Yanni Ma 333 1.1× 60 0.4× 108 0.9× 63 0.7× 45 0.6× 50 746
Mengyao Sun 411 1.3× 124 0.9× 95 0.8× 108 1.2× 21 0.3× 36 717

Countries citing papers authored by Sau Har Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sau Har Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sau Har Lee. 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 Sau Har Lee. The network helps show where Sau Har Lee may publish in the future.

Co-authorship network of co-authors of Sau Har Lee

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

All Works

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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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