Ray Liu

666 citations
18 papers · 407 · h-index 10

Impact in

    • Cancer-related Molecular Pathways
    • Drug Transport and Resistance Mechanisms
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • DNA Repair Mechanisms

Papers in

    • Ubiquitin and proteasome pathways 5
    • Protein Degradation and Inhibitors 2
    • Cancer-related Molecular Pathways 2

Ray Liu

17 papers receiving 393 citations

Peers

Ray Liu
Comparison fields: 5 of 84
  • Oncology 153
  • Molecular Biology 226
  • Pharmacology 24
  • Hematology 25
  • Cancer Research 32
Replace Gaëlle Noé with:
Gaëlle Noé France
Suhlan Wu United States
Linda R. Barone United States
Jamie N. Connarn United States
Edit Szabó Hungary
Yue-Li Sun China
Feng Shan China
Sung-Han Hsiao Taiwan
Yang-Hui Huang Taiwan
Ray Liu relative to Gaëlle Noé France Gaëlle Noé's profile →
Citations per field
00.5×1.5×1.8×
Gaëlle Noé · 1×
Citations per year

Countries citing papers authored by Ray Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ray Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2014100
2 201285
3 201445
4 200944
5 201142
6 201216
7 202215
8 201012
9 201910
10 201510
11 20158
12 20157
13 20064
14 20023
15 20123
16 20172
17 20181
18 20110

About Ray Liu

Ray Liu is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Computational Theory and Mathematics, having authored 18 papers that have together received 407 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Advanced Chemical Sensor Technologies (2 papers), Protein Degradation and Inhibitors (2 papers), Computational Drug Discovery Methods (2 papers), Heart Failure Treatment and Management (2 papers), Microtubule and mitosis dynamics (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Oncology (153 citations), Molecular Biology (226 citations), Pharmacology (24 citations), Hematology (25 citations) and Cancer Research (32 citations). Ray Liu has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Mark Manfredi, Jerome T. Mettetal, Jill Donelan, Arijit Chakravarty, Greg Hather, David C. Bouck, Katherine Cosmopoulos, Khristofer Garcia, Jonathan L. Blank and Eric S. Lightcap. Their work appears in journals such as Molecular Cancer Therapeutics, Cancer Research, Molecular Pharmaceutics, Journal of Immunological Methods and Sensors and Actuators B Chemical.

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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