Lida Liu

1.4k citations
42 papers · 1.1k · h-index 14

Impact in

Papers in

Lida Liu

37 papers receiving 1.1k citations

Peers

Lida Liu
Comparison fields: 5 of 140
  • Pharmacology 256
  • Endocrinology, Diabetes and Metabolism 158
  • Analytical Chemistry 75
  • Surgery 340
  • Oncology 205
Replace SeungHwan Lee with:
SeungHwan Lee South Korea
Yifan Zhang China
Rajanikanth Madabushi United States
Tae‐Eun Kim South Korea
Adam S. Darwich United Kingdom
Shuai Wang China
Lars Kuepfer Germany
Xiaotao Hou China
Xuehua Jiang China
Tianyan Zhou China
Lida Liu relative to SeungHwan Lee South Korea SeungHwan Lee's profile →
Citations per field
00.5×
SeungHwan Lee · 1×
Citations per year

Countries citing papers authored by Lida Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lida Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lida Liu, 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 Lida Liu Line = papers co-authored together Lida Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
In vitro metabolism of simvastatin in humans [SBT]identification of metabolizing enzymes and effect of the drug on hepatic P450s.
1997244
2 2002219
3 201799
4 200475
5 199761
6 201261
7 201553
8 200147
9 200046
10 202339
11 199327
12 200318
13 202018
14 201513
15 201612
16 202311
17 20249
18 20029
19 20249
20 20218

About Lida Liu

Lida Liu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Molecular Biology, Computational Theory and Mathematics and Aerospace Engineering, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Computational Drug Discovery Methods (6 papers), Perovskite Materials and Applications (5 papers), Microbial Metabolism and Applications (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Advanced Optical Network Technologies (3 papers) and Conducting polymers and applications (3 papers). The work is most often cited by research in Pharmacology (256 citations), Endocrinology, Diabetes and Metabolism (158 citations), Analytical Chemistry (75 citations), Surgery (340 citations) and Oncology (205 citations). Lida Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Thomayant Prueksaritanont, Jamie J. Zhao, Bennett Ma, Kamlesh P. Vyas, John Rogers, Yue Qiu, Byron H. Arison, Xiaoming Yu, Donald E. Slaughter and Lynn M. Gorham. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Advanced Functional Materials, The Journal of Clinical Pharmacology, The Chinese Journal of International Politics and Nano Research.

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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