Qiang Tong
- Molecular Biology top 10%
- Physiology top 5%
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Sissy JhiangShunhua XingCem Z. GörgünSteven A. KliewerTimothy M. WillsonKathleen K. BrownGökhan S. HotamışlıgilWilliam R. Oliver
- Topics
- Parkinson's Disease Mechanisms and Treatments (9 papers)Thyroid Cancer Diagnosis and Treatment (5 papers)Nanoplatforms for cancer theranostics (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAngewandte Chemie International Edition
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Qiang Tong
42 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 791
- Physiology 455
- Epidemiology 429
- Endocrinology, Diabetes and Metabolism 292
- Endocrine and Autonomic Systems 207
Countries citing papers authored by Qiang Tong
This map shows the geographic impact of Qiang Tong'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 Qiang Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Tong more than expected).
Fields of papers citing papers by Qiang Tong
This network shows the impact of papers produced by Qiang Tong. 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 Qiang Tong. The network helps show where Qiang Tong may publish in the future.
Co-authorship network of co-authors of Qiang Tong
This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Tong. A scholar is included among the top collaborators of Qiang Tong 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 Qiang Tong. Qiang Tong 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 | 5 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 63 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 45 | |
| 12 | 44 | |
| 13 | 55 | |
| 14 | 35 | |
| 15 | 39 | |
| 16 | 94 | |
| 17 | 45 | |
| 18 | 43 | |
| 19 | 42 | |
| 20 | 6 |
About Qiang Tong
Qiang Tong is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), Thyroid Cancer Diagnosis and Treatment (5 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (207 citations), Biological Psychiatry (45 citations) and Endocrinology, Diabetes and Metabolism (292 citations). Qiang Tong has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Sissy Jhiang, Shunhua Xing, Cem Z. Görgün, Steven A. Kliewer, Timothy M. Willson, Kathleen K. Brown, Gökhan S. Hotamışlıgil, William R. Oliver, K. Teoman Uysal and W. Wallace Harrington. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.