Ai-Bee Ong

421 citations
5 papers · 330 · h-index 4

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug Transport and Resistance Mechanisms
    • Cancer Treatment and Pharmacology
    • Colorectal Cancer Treatments and Studies

Papers in

    • Drug Transport and Resistance Mechanisms 1
    • Pharmacogenetics and Drug Metabolism 2

Ai-Bee Ong

5 papers receiving 319 citations

Peers

Ai-Bee Ong
Comparison fields: 5 of 52
  • Pharmacology 126
  • Oncology 222
  • Hepatology 30
  • Transplantation 7
  • Cancer Research 36
Replace Valerie D. Doodeman with:
Valerie D. Doodeman Netherlands
Sonya C. Tate United Kingdom
C. Tyler Kirkland United States
Michael Andria United States
Agneta Freijs Sweden
Martin A. Graham United States
Sravanthi Cheeti United States
Sarah Troutman United States
Thomas Muerdter Germany
Lori K. Mattison United States
Ai-Bee Ong relative to Valerie D. Doodeman Netherlands Valerie D. Doodeman's profile →
Citations per field
00.5×1.5×2.5×
Valerie D. Doodeman · 1×
Citations per year

Countries citing papers authored by Ai-Bee Ong

Since Specialization
Citations

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

Fields of papers citing papers by Ai-Bee Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ai-Bee Ong. 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 Ai-Bee Ong. The network helps show where Ai-Bee Ong may publish in the future.

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2002232
2 200972
3 200715
4 200610
5 20071

About Ai-Bee Ong

Ai-Bee Ong is a scholar working on Oncology, Pharmacology, Molecular Biology, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 5 papers that have together received 330 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Advanced MRI Techniques and Applications (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Pharmacology (126 citations), Oncology (222 citations), Hepatology (30 citations), Transplantation (7 citations) and Cancer Research (36 citations). Ai-Bee Ong has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Boon-Cher Goh, Soo Chin Lee, Lingzhi Wang, Lu Fan, How-Sung Lee, Jiayi Guo, Erin G. Schuetz, Robert C. Lim, Jatinder K. Lamba and Ross A. Soo. Their work appears in journals such as Journal of Clinical Oncology, Therapeutic Drug Monitoring and Acta Oncologica.

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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