Xiaoming Cui

50 papers receiving 1.2k citations

Peers

Xiaoming Cui
Comparison fields: 5 of 110
  • Pharmacology 250
  • Parasitology 166
  • Biochemistry 119
  • Infectious Diseases 178
  • Oncology 222
Replace Parag P. Shah with:
Parag P. Shah United States
Ivana Türbachova Germany
Carol Hopkins Sibley United States
R. Oude Elferink Netherlands
Jesse D. Martinez United States
Ziping Yang United States
Mathurose Ponglikitmongkol Thailand
Robert M. Rydzewski United States
Despina Smirlis Greece
Paula E. Scarborough United States
Xiaoming Cui relative to Parag P. Shah United States Parag P. Shah's profile →
Citations per field
00.5×2.7×
Parag P. Shah · 1×
Citations per year

Countries citing papers authored by Xiaoming Cui

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002113
2 2020112
3 201079
4 202073
5 201566
6 200463
7 201758
8 200053
9 200750
10
Molecular cloning and regulation of expression of two novel mouse CYP4F genes: expression in peroxisome proliferator-activated receptor alpha-deficient mice upon lipopolysaccharide and clofibrate challenges.
200144
11 202133
12 201632
13 200229
14 200327
15 200125
16 202325
17 200824
18 201524
19 202323
20 200322

About Xiaoming Cui

Xiaoming Cui is a scholar working on Pharmacology, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Eicosanoids and Hypertension Pharmacology (8 papers), Lung Cancer Treatments and Mutations (8 papers), Vector-borne infectious diseases (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Inflammatory mediators and NSAID effects (4 papers), Viral Infections and Vectors (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Pharmacology (250 citations), Parasitology (166 citations), Biochemistry (119 citations), Infectious Diseases (178 citations) and Oncology (222 citations). Xiaoming Cui has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Ronald E. White, Henry W. Strobel, Chris Ryan, K.-C. Cheng, Yau Yi Lau, Cheng Li, Tongtong Liu, David R. Nelson, Edward T. Morgan and Wu‐Chun Cao. Their work appears in journals such as British Journal of Clinical Pharmacology, Drug Metabolism and Disposition, Journal of Clinical Oncology, Annals of Oncology and International Journal of Environmental Research and Public Health.

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.

Explore authors with similar magnitude of impact