WS Wong

450 citations
8 papers · 335 · h-index 5

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 5%
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes

Papers in

WS Wong

7 papers receiving 322 citations

Peers

WS Wong
Comparison fields: 5 of 48
  • Transplantation 113
  • Nephrology 105
  • Critical Care and Intensive Care Medicine 28
  • Hepatology 36
  • Public Health, Environmental and Occupational Health 100
Replace Gary F. Marklin with:
Gary F. Marklin United States
Chang‐Kwon Oh South Korea
Hong Si Nga Brazil
Radi Zaki United States
Luke Y. Shen United States
Aliu Sanni United Kingdom
Caroline Buszta United States
C.-L. Chen Taiwan
A.P.A. Oomen Netherlands
Jeffery D. Punch United States
WS Wong relative to Gary F. Marklin United States Gary F. Marklin's profile →
Citations per field
00.5×10×
Gary F. Marklin · 1×
Citations per year

Countries citing papers authored by WS Wong

Since Specialization
Citations

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

Fields of papers citing papers by WS Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2007160
2 1983107
3 199339
4 198923
5 19904
6
Regulation of human vascular smooth muscle proteoglycan biosynthesis by biguanides, sulfonylureas and glitazones.
20031
7 20031
8 20250

About WS Wong

WS Wong is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Surgery, Molecular Biology and Neurology, having authored 8 papers that have together received 335 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (2 papers), Liver Disease Diagnosis and Treatment (1 paper), Cystic Fibrosis Research Advances (1 paper), Neonatal Health and Biochemistry (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Renal and related cancers (1 paper) and Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper). The work is most often cited by research in Transplantation (113 citations), Nephrology (105 citations), Critical Care and Intensive Care Medicine (28 citations), Hepatology (36 citations) and Public Health, Environmental and Occupational Health (100 citations). WS Wong has collaborated with scholars based in United States, Hong Kong and Netherlands. Frequent co-authors include DJ Roe, Nelson Goes, Dicken S.C. Ko, Camille N. Kotton, M.L. Farrell, J. A. Fishman, Francis L. Delmonico, Choli Hartono, Martin Hertl and Nina Tolkoff‐Rubin. Their work appears in journals such as American Journal of Roentgenology, World Journal of Gastroenterology, Acta Paediatrica, American Journal of Transplantation and Annals of the Rheumatic Diseases.

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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