Ray Wang
- Molecular Biology
- Cellular and Molecular Neuroscience
- Endocrinology, Diabetes and Metabolism
- Pediatrics, Perinatology and Child Health
- Epidemiology
- Co-authors
- Mariko SaitoCsaba VadászGoutam ChakrabortyFrédéric SimoninVinod KumarIstvan SzakallBrigitte L. KiefferIngrid Schmid
- Topics
- Hyperglycemia and glycemic control in critically ill and hospitalized patients (8 papers)Diabetes Management and Research (7 papers)Diabetes and associated disorders (6 papers)
- Cited by
- Cellular and Molecular NeuroscienceBehavioral NeuroscienceEndocrinology, Diabetes and Metabolism
- Partner nations
- AustraliaUnited StatesSouth Korea
In The Last Decade
Ray Wang
24 papers receiving 402 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 179
- Cellular and Molecular Neuroscience 123
- Endocrinology, Diabetes and Metabolism 64
- Pediatrics, Perinatology and Child Health 63
- Epidemiology 48
Countries citing papers authored by Ray Wang
This map shows the geographic impact of Ray Wang'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 Ray Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ray Wang more than expected).
Fields of papers citing papers by Ray Wang
This network shows the impact of papers produced by Ray Wang. 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 Ray Wang. The network helps show where Ray Wang may publish in the future.
Co-authorship network of co-authors of Ray Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Ray Wang. A scholar is included among the top collaborators of Ray Wang 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 Ray Wang. Ray Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 8 | |
| 15 | 57 | |
| 16 | 30 | |
| 17 | 31 | |
| 18 | 92 | |
| 19 | 12 | |
| 20 | 30 |
About Ray Wang
Ray Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Neuroscience and Orthopedics and Sports Medicine, having authored 27 papers that have together received 406 indexed citations. Recurring topics across this work include Hyperglycemia and glycemic control in critically ill and hospitalized patients (8 papers), Diabetes Management and Research (7 papers) and Diabetes and associated disorders (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (123 citations), Behavioral Neuroscience (16 citations) and Endocrinology, Diabetes and Metabolism (64 citations). Ray Wang has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Mariko Saito, Csaba Vadász, Goutam Chakraborty, Frédéric Simonin, Vinod Kumar, Istvan Szakall, Brigitte L. Kieffer, Ingrid Schmid, Kathleen M. Sakamoto and Yu‐Waye Chu. Their work appears in journals such as Diabetes Care, Biochemical and Biophysical Research Communications and Neuroscience.
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.