Simon Wong

1.2k citations
24 papers · 442 · h-index 13

Impact in

Papers in

    • Receptor Mechanisms and Signaling 6
    • Porphyrin Metabolism and Disorders 4
    • Pharmacogenetics and Drug Metabolism 13

Simon Wong

24 papers receiving 431 citations

Peers

Simon Wong
Comparison fields: 5 of 73
  • Pharmacology 117
  • Endocrinology, Diabetes and Metabolism 66
  • Oncology 85
  • Molecular Biology 212
  • Immunology 52
Replace Harilal Patel with:
Harilal Patel India
Ryota Shizu Japan
Lai Wang China
Kimberly O. Cameron United States
Daniel C. Kemp United States
Thomas Maduskuie United States
Pascal Heitel Germany
David J. Porubek United States
Viral Vyas United States
Makoto Osabe Japan
Simon Wong relative to Harilal Patel India Harilal Patel's profile →
Citations per field
00.5×3.8×
Harilal Patel · 1×
Citations per year

Countries citing papers authored by Simon Wong

Since Specialization
Citations

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

Fields of papers citing papers by Simon Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200983
2 200846
3 200046
4 201437
5 201232
6 200532
7 200825
8 201518
9 202018
10 201516
11 199914
12 201812
13
Gender differences in N-alkyl protoporphyrin IX production in rats after the administration of porphyrinogenic xenobiotics.
199812
14 202011
15 20109
16 19997
17 20116
18 20165
19 20003
20 20183

About Simon Wong

Simon Wong is a scholar working on Molecular Biology, Pharmacology, Oncology, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health, having authored 24 papers that have together received 442 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (13 papers), Receptor Mechanisms and Signaling (6 papers), Drug Transport and Resistance Mechanisms (4 papers), Porphyrin Metabolism and Disorders (4 papers), Hormonal and reproductive studies (2 papers), Metabolism and Genetic Disorders (2 papers), Diabetes Treatment and Management (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Pharmacology (117 citations), Endocrinology, Diabetes and Metabolism (66 citations), Oncology (85 citations), Molecular Biology (212 citations) and Immunology (52 citations). Simon Wong has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include William J. Racz, Jeffrey W. Card, Gerald S. Marks, Yingcai Wang, Jiwen Liu, George Tonn, Xian‐Yun Jiao, Bradley K. Wong, Frank Kayser and Yang Li. Their work appears in journals such as Drug Metabolism and Disposition, Canadian Journal of Physiology and Pharmacology, Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters and Analytical Biochemistry.

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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