Steven Wang
- Psychiatry and Mental health top 5%
- Physiology top 10%
- Molecular Biology
- Clinical Psychology top 10%
- Surgery
- Co-authors
- Matthew V. SennittJeffrey S. NyeElena PolverejanLidia ZylowskaAlicia BazzanoChristopher D. BarrettPaul WinnerEric Yuen
- Topics
- Adipose Tissue and Metabolism (4 papers)Cardiovascular Syncope and Autonomic Disorders (3 papers)Epilepsy research and treatment (3 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Steven Wang
31 papers receiving 855 citations
Peers
Comparison fields: 5 of 114
- Psychiatry and Mental health 244
- Physiology 202
- Molecular Biology 178
- Clinical Psychology 130
- Surgery 128
Countries citing papers authored by Steven Wang
This map shows the geographic impact of Steven 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 Steven Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Wang more than expected).
Fields of papers citing papers by Steven Wang
This network shows the impact of papers produced by Steven 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 Steven Wang. The network helps show where Steven Wang may publish in the future.
Co-authorship network of co-authors of Steven Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Steven Wang. A scholar is included among the top collaborators of Steven 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 Steven Wang. Steven 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 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 16 | |
| 7 | 57 | |
| 8 | 10 | |
| 9 | 18 | |
| 10 | 24 | |
| 11 | 17 | |
| 12 | 11 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 33 | |
| 16 | Inhibition of intestinal tumorigenesis in ApcMin/+ mice by (-)-epigallocatechin-3-gallate (EGCG), (-)-epicatechin-3-gallate (ECG), and polyphenon E (PPE) | 2 |
| 17 | 47 | |
| 18 | 22 | |
| 19 | 4 | |
| 20 | 46 |
About Steven Wang
Steven Wang is a scholar working on Geriatrics and Gerontology, Applied Microbiology and Biotechnology and Psychiatry and Mental health, having authored 34 papers that have together received 887 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Cardiovascular Syncope and Autonomic Disorders (3 papers) and Epilepsy research and treatment (3 papers). The work is most often cited by research in Psychiatry and Mental health (244 citations), Applied Microbiology and Biotechnology (16 citations) and Physiology (202 citations). Steven Wang has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Matthew V. Sennitt, Jeffrey S. Nye, Elena Polverejan, Lidia Zylowska, Alicia Bazzano, Christopher D. Barrett, Paul Winner, Eric Yuen, Lisa Ford and Mariëlle Eerdekens. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.