Run Lu

1.8k citations
27 papers · 1.5k · h-index 18

Impact in

    • Amino Acid Enzymes and Metabolism
  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms

Papers in

    • Inflammatory mediators and NSAID effects 11
    • Peroxisome Proliferator-Activated Receptors 5
    • Ion Transport and Channel Regulation 3

Run Lu

26 papers receiving 1.4k citations

Peers

Run Lu
Comparison fields: 5 of 89
  • Biochemistry 208
  • Oncology 619
  • Pharmacology 369
  • Clinical Biochemistry 110
  • Pharmacology 113
Replace Victor L. Schuster with:
Victor L. Schuster United States
Naoaki KANAI United States
V. L. Schuster United States
Yi Bao China
Nicholas R. Ferreri United States
Janice R. Okita United States
Marta Casado Spain
Tomoko Hirohashi Japan
Martin Kömhoff Germany
Graciela Castro France
Run Lu relative to Victor L. Schuster United States Victor L. Schuster's profile →
Citations per field
00.5×
Victor L. Schuster · 1×
Citations per year

Countries citing papers authored by Run Lu

Since Specialization
Citations

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

Fields of papers citing papers by Run Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995340
2 1996200
3 1999140
4 2004119
5 200269
6 199666
7 199661
8 201760
9 199659
10 201058
11 199950
12 200548
13 200232
14 199631
15 199828
16 199627
17 199723
18 200519
19
The Prostaglandin Transporter: Eicosanoid Reuptake, Control of Signaling, and Development of High-Affinity Inhibitors as Drug Candidates.
201516
20 202311

About Run Lu

Run Lu is a scholar working on Pharmacology, Molecular Biology, Oncology, Genetics and Ecology, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (11 papers), Drug Transport and Resistance Mechanisms (9 papers), Estrogen and related hormone effects (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Ion Transport and Channel Regulation (3 papers), Metabolism and Genetic Disorders (2 papers), Electrolyte and hormonal disorders (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Biochemistry (208 citations), Oncology (619 citations), Pharmacology (369 citations), Clinical Biochemistry (110 citations) and Pharmacology (113 citations). Run Lu has collaborated with scholars based in United States, China and France. Frequent co-authors include Victor L. Schuster, Yi Bao, Naoaki KANAI, Allan W. Wolkoff, V. L. Schuster, Brenda S. Chan, Yi Bao, Joseph Satriano, Michael L. Pucci and Norifumi Kanai. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Molecular Pharmacology, Journal of Clinical Investigation, Apmis and Biochemical and Biophysical Research Communications.

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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