C. Lu

462 citations
11 papers · 387 · h-index 8

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
    • Drug Transport and Resistance Mechanisms

Papers in

    • Cancer Treatment and Pharmacology 2
    • Drug Transport and Resistance Mechanisms 2
    • Colorectal Cancer Treatments and Studies 2
    • Pharmacogenetics and Drug Metabolism 4
    • Drug-Induced Hepatotoxicity and Protection 2

C. Lu

10 papers receiving 373 citations

Peers

C. Lu
Comparison fields: 5 of 84
  • Pharmacology 180
  • Oncology 130
  • Hepatology 26
  • Computational Theory and Mathematics 42
  • Pharmaceutical Science 14
Replace Evan Smith with:
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C. Lu relative to Evan Smith United States Evan Smith's profile →
Citations per field
00.5×3.5×
Evan Smith · 1×
Citations per year

Countries citing papers authored by C. Lu

Since Specialization
Citations

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

Fields of papers citing papers by C. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Effects of organic solvents on the activities of cytochrome P450 isoforms, UDP-dependent glucuronyl transferase, and phenol sulfotransferase in human hepatocytes.
2001171
2 201685
3 200538
4 202528
5 201523
6 200418
7 20247
8 20057
9 20046
10 20244
11 19990

About C. Lu

C. Lu is a scholar working on Oncology, Pharmacology, Pulmonary and Respiratory Medicine, Pharmaceutical Science and Hepatology, having authored 11 papers that have together received 387 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Cancer Treatment and Pharmacology (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Eicosanoids and Hypertension Pharmacology (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Pharmacology (180 citations), Oncology (130 citations), Hepatology (26 citations), Computational Theory and Mathematics (42 citations) and Pharmaceutical Science (14 citations). C. Lu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Albert P. Li, Y Sakai, Roy S. Herbst, Isaiah W. Dimery, John V. Heymach, P. Fidias, Ajit Suri, Karthik Venkatakrishnan, Sunny Chapel and Louis Leung. Their work appears in journals such as Journal of Clinical Oncology, Drug Metabolism and Disposition, Clinical Pharmacology & Therapeutics, Applied Organometallic Chemistry and IEEE Transactions on Instrumentation and Measurement.

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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