Ming‐Cheh Liu

2.3k citations
108 papers · 1.8k · h-index 24

Impact in

  • Pharmacology top 0.5%
    • Pharmacogenetics and Drug Metabolism
  • Physiology top 5%
    • Reproductive biology and impacts on aquatic species

Papers in

    • Ion Transport and Channel Regulation 15
    • Receptor Mechanisms and Signaling 6
    • Pharmacogenetics and Drug Metabolism 37

Ming‐Cheh Liu

106 papers receiving 1.7k citations

Peers

Ming‐Cheh Liu
Comparison fields: 5 of 119
  • Pharmacology 487
  • Physiology 103
  • Biochemistry 133
  • Biochemistry 75
  • Molecular Biology 854
Replace Masahito Suiko with:
Masahito Suiko Japan
John H.N. Meerman Netherlands
Pier Giovanni Gervasi Italy
Walter Meinl Germany
Christoph Köhle Germany
G. Lemaire France
Karen Ildico Hirsch‐Ernst Germany
Bill D. Roebuck United States
Shizuo Nakajin Japan
Christina Lind Sweden
Ming‐Cheh Liu relative to Masahito Suiko Japan Masahito Suiko's profile →
Citations per field
00.5×1.5×
Masahito Suiko · 1×
Citations per year

Countries citing papers authored by Ming‐Cheh Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Cheh Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998114
2 199876
3 201171
4 201667
5 199859
6 200557
7 201250
8 200248
9 199843
10 200642
11 201033
12 201533
13 198132
14 202129
15 200129
16 200329
17 198329
18 201327
19 201326
20 200326

About Ming‐Cheh Liu

Ming‐Cheh Liu is a scholar working on Molecular Biology, Pharmacology, Surgery, Endocrinology, Diabetes and Metabolism and Spectroscopy, having authored 108 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (37 papers), Ion Transport and Channel Regulation (15 papers), Pancreatic function and diabetes (8 papers), Mass Spectrometry Techniques and Applications (8 papers), Lipid metabolism and biosynthesis (7 papers), Receptor Mechanisms and Signaling (6 papers), Estrogen and related hormone effects (6 papers) and Hormonal and reproductive studies (6 papers). The work is most often cited by research in Pharmacology (487 citations), Physiology (103 citations), Biochemistry (133 citations), Biochemistry (75 citations) and Molecular Biology (854 citations). Ming‐Cheh Liu has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Masahito Suiko, Yoichi Sakakibara, Katsuhisa Kurogi, Ming‐Yih Liu, Yasunari Takami, Takuya Sugahara, Tatsuo Nakayama, Ken Yanagisawa, Shin Yasuda and Tong-Kun Pai. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics, Journal of Biological Chemistry and The Journal of Biochemistry.

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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