G. William Wong

15.8k total citations
132 papers, 6.9k citations indexed

About

G. William Wong is a scholar working on Physiology, Epidemiology and Molecular Biology. According to data from OpenAlex, G. William Wong has authored 132 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Physiology, 49 papers in Epidemiology and 45 papers in Molecular Biology. Recurrent topics in G. William Wong's work include Adipose Tissue and Metabolism (56 papers), Adipokines, Inflammation, and Metabolic Diseases (47 papers) and Regulation of Appetite and Obesity (21 papers). G. William Wong is often cited by papers focused on Adipose Tissue and Metabolism (56 papers), Adipokines, Inflammation, and Metabolic Diseases (47 papers) and Regulation of Appetite and Obesity (21 papers). G. William Wong collaborates with scholars based in United States, Australia and Canada. G. William Wong's co-authors include Zhikui Wei, Jonathan M. Peterson, Marcus Seldin, Xia Lei, Richard L Stevens, Harvey F. Lodish, Stefanie Y. Tan, Mardi S. Byerly, Susan Aja and Christopher Hug and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

G. William Wong

128 papers receiving 6.8k citations

Peers

G. William Wong
Comparison fields: 5 of 134
  • Physiology 2.7k
  • Epidemiology 2.6k
  • Molecular Biology 2.3k
  • Immunology 1.2k
  • Cardiology and Cardiovascular Medicine 1.1k
Replace James C. Lo with:
James C. Lo United States
Kaori Sato Japan
Ez‐Zoubir Amri France
Lawrence Chan United States
D. Margriet Ouwens Germany
Giulia Baldini United States
Abhinav Diwan United States
Koji Maemura Japan
Tim J. Schulz Germany
Christopher Hug United States
James C. Lo United States View profile →
Citations per field, relative to G. William Wong
G. William Wong · 1×
Citations per year, relative to G. William Wong
G. William Wong · 1×

Countries citing papers authored by G. William Wong

Since Specialization
Citations

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

Fields of papers citing papers by G. William Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. William Wong

This figure shows the co-authorship network connecting the top 25 collaborators of G. William Wong. A scholar is included among the top collaborators of G. William Wong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. William Wong. G. William Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 2
4 6
5 1
6 2
7 4
8 12
9 5
10 12
11 25
12 56
13 30
14 78
15 27
16 77
17 1
18 7
19 369
20 20

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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