Cuiping Chen

2.8k citations
61 papers · 1.9k · h-index 23

Impact in

Papers in

Cuiping Chen

58 papers receiving 1.8k citations

Peers

Cuiping Chen
Comparison fields: 5 of 142
  • Oncology 701
  • Pediatrics, Perinatology and Child Health 414
  • Pharmacology 184
  • Neurology 142
  • Cellular and Molecular Neuroscience 317
Replace J. Cory Kalvass with:
J. Cory Kalvass United States
Bill J. Smith United States
Salvatore Cisternino France
Fanchon Bourasset France
Alain Minn France
Meret Martin‐Facklam Switzerland
Krista Laine Finland
Christopher Volk Germany
Corbin Bachmeier United States
Lara M. Mangravite United States
Cuiping Chen relative to J. Cory Kalvass United States J. Cory Kalvass's profile →
Citations per field
00.5×1.5×
J. Cory Kalvass · 1×
Citations per year

Countries citing papers authored by Cuiping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Cuiping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004202
2 2003187
3 2005153
4 2008145
5 2006132
6 202177
7 200371
8 200866
9
Strategies to optimize brain penetration in drug discovery.
200566
10 200763
11 199858
12 201543
13 199941
14 200840
15 200339
16 201139
17 199732
18 201031
19 199629
20 202024

About Cuiping Chen

Cuiping Chen is a scholar working on Pediatrics, Perinatology and Child Health, Oncology, Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (11 papers), Pharmacological Effects and Toxicity Studies (11 papers), Epilepsy research and treatment (4 papers), Pharmaceutical studies and practices (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neuropeptides and Animal Physiology (4 papers), Sleep and Wakefulness Research (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Oncology (701 citations), Pediatrics, Perinatology and Child Health (414 citations), Pharmacology (184 citations), Neurology (142 citations) and Cellular and Molecular Neuroscience (317 citations). Cuiping Chen has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Bill J. Smith, Xingrong Liu, Xingrong Liu, Jae Sung Lee, J. W. Watson, Verne E. Cowles, Gary M. Pollack, Meihua Tu, Michael Sweeney and Frederick Nelson. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics, Pharmaceutical Research, Clinical and Translational Science and Frontiers in Neurology.

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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