Cliff Chen

23 papers receiving 967 citations

Peers

Cliff Chen
Comparison fields: 5 of 104
  • Pharmacology 161
  • Oncology 391
  • Pediatrics, Perinatology and Child Health 153
  • Endocrinology, Diabetes and Metabolism 110
  • Genetics 59
Replace Vijay Upreti with:
Vijay Upreti United States
Kazuo Kobayashi Japan
Chee M. Ng United States
Sheila Annie Peters Germany
Jiong Zhang China
Tomoo Itoh Japan
Donald Heald United States
Karin Jorga Switzerland
Steinar Lundgren Norway
K. Sjövall Sweden
Cliff Chen relative to Vijay Upreti United States Vijay Upreti's profile →
Citations per field
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Vijay Upreti · 1×
Citations per year

Countries citing papers authored by Cliff Chen

Since Specialization
Citations

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

Fields of papers citing papers by Cliff Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009225
2 2009163
3 2012102
4 201573
5 201372
6 201961
7 201058
8 200235
9 200931
10 201931
11 201030
12 201125
13 202021
14 201818
15 201914
16 201811
17 20209
18 20224
19 20254
20 20084

About Cliff Chen

Cliff Chen is a scholar working on Oncology, Pharmacology, Atomic and Molecular Physics, and Optics, Pediatrics, Perinatology and Child Health and Pharmacology, having authored 28 papers that have together received 998 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (9 papers), Pharmacogenetics and Drug Metabolism (7 papers), Pharmacological Effects and Toxicity Studies (4 papers), Inflammatory mediators and NSAID effects (3 papers), Advanced Condensed Matter Physics (2 papers), Topological Materials and Phenomena (2 papers), Atomic and Subatomic Physics Research (2 papers) and Climate Change Policy and Economics (2 papers). The work is most often cited by research in Pharmacology (161 citations), Oncology (391 citations), Pediatrics, Perinatology and Child Health (153 citations), Endocrinology, Diabetes and Metabolism (110 citations) and Genetics (59 citations). Cliff Chen has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Zheng Yang, A. David Rodrigues, Sagar Agarwal, Naveed Shaik, William F. Elmquist, Ying Chen, Yong–Hae Han, Shu‐Ying Chang, Yuan Tian and Dennis E. Busler. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics, CHEST Journal, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and npj Parkinson s Disease.

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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