Xiaoxin Cai

16 papers receiving 1.0k citations

Peers

Xiaoxin Cai
Comparison fields: 5 of 85
  • Pharmacology 388
  • Oncology 578
  • Pediatrics, Perinatology and Child Health 340
  • Clinical Biochemistry 46
  • Toxicology 23
Replace Upendra A. Argikar with:
Upendra A. Argikar United States
Michel Eichelbaum Germany
Mayumi Saeki Japan
Sumathy Mathialagan United States
Annick Seithel Germany
Michael Török Switzerland
Katherine S. Fenner United Kingdom
Mirjana Cvetković United States
Annikka Kalliokoski Finland
Gustav Ahlin Sweden
Xiaoxin Cai relative to Upendra A. Argikar United States Upendra A. Argikar's profile →
Citations per field
00.5×1.5×1.9×
Upendra A. Argikar · 1×
Citations per year

Countries citing papers authored by Xiaoxin Cai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxin Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2014144
2 2007143
3 2010133
4 2002110
5 2016109
6 2006105
7 201958
8 201556
9 201348
10 202039
11 201723
12 200422
13 202017
14 200816
15 201712
16 20251

About Xiaoxin Cai

Xiaoxin Cai is a scholar working on Oncology, Pediatrics, Perinatology and Child Health, Pharmacology, Public Health, Environmental and Occupational Health and Ophthalmology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (9 papers), Pharmacological Effects and Toxicity Studies (5 papers), Ocular Surface and Contact Lens (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Glaucoma and retinal disorders (3 papers), HIV/AIDS drug development and treatment (2 papers), Pharmacovigilance and Adverse Drug Reactions (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Pharmacology (388 citations), Oncology (578 citations), Pediatrics, Perinatology and Child Health (340 citations), Clinical Biochemistry (46 citations) and Toxicology (23 citations). Xiaoxin Cai has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xiaoyan Chu, Raymond Evers, Jocelyn Yabut, Grace Chan, David C. Evans, Regina W. Wang, Thomayant Prueksaritanont, Iain P. Fraser, Dennis Dean and Matthew P. Braun. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics, American Journal Of Pathology, Clinical Pharmacology & Therapeutics and Pharmaceutical Research.

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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