James Wong

36 papers receiving 743 citations

Peers

James Wong
Comparison fields: 5 of 113
  • Biological Psychiatry 25
  • Cardiology and Cardiovascular Medicine 174
  • Obstetrics and Gynecology 57
  • Biochemistry 39
  • Cellular and Molecular Neuroscience 93
Replace Fengyang Huang with:
Fengyang Huang Mexico
Graziela Scalianti Ceravolo Brazil
Hale Maral Kır Türkiye
Yoshinori Hinokio Japan
Yasuko Hori Japan
Kasper Broedbaek Denmark
Müjgan Cengiz Türkiye
M. Jung United States
T. H. Lippert Germany
Ana Alonso Spain
James Wong relative to Fengyang Huang Mexico Fengyang Huang's profile →
Citations per field
00.5×2.9×
Fengyang Huang · 1×
Citations per year

Countries citing papers authored by James Wong

Since Specialization
Citations

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

Fields of papers citing papers by James Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200191
2 199160
3 200657
4 201157
5 199650
6 200843
7 199740
8 201637
9 201837
10 198735
11 198432
12 199026
13 198622
14 200519
15 200819
16 201818
17 200116
18 199016
19 198814
20
A rapid, sensitive assay for gamma-aminobutyric acid in brain using electron-capture gas chromatography.
199014

About James Wong

James Wong is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Molecular Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 37 papers that have together received 778 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Heart Failure Treatment and Management (4 papers), GABA and Rice Research (3 papers), Wireless Communication Networks Research (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and IPv6, Mobility, Handover, Networks, Security (2 papers). The work is most often cited by research in Biological Psychiatry (25 citations), Cardiology and Cardiovascular Medicine (174 citations), Obstetrics and Gynecology (57 citations), Biochemistry (39 citations) and Cellular and Molecular Neuroscience (93 citations). James Wong has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Glen B. Baker, Ronald T. Coutts, Leeanne Grigg, John G. Morgan, E. Marelyn Wintour, Miodrag Dodic, Karen M. Moritz, Garry Jennings, Chrishan S. Samuel and Tze Kin Lau. Their work appears in journals such as Toxicologic Pathology, Journal of Orthopaedic Surgery and Research, The Medical Journal of Australia, International Journal of Mobile Communications and Telemedicine Journal and e-Health.

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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