Jingtao Dou
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Co-authors
- Yiming MuJuming LuAnping WangMiroslava MacovaWeijun GuGuoqing YangWenhua YanJuan M. Saavedra
- Topics
- Pituitary Gland Disorders and Treatments (18 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers)Diabetes Treatment and Management (11 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineBehavioral Neuroscience
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jingtao Dou
92 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 105
- Endocrinology, Diabetes and Metabolism 799
- Surgery 310
- Molecular Biology 292
- Cardiology and Cardiovascular Medicine 266
- Epidemiology 232
Countries citing papers authored by Jingtao Dou
This map shows the geographic impact of Jingtao Dou'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 Jingtao Dou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingtao Dou more than expected).
Fields of papers citing papers by Jingtao Dou
This network shows the impact of papers produced by Jingtao Dou. 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 Jingtao Dou. The network helps show where Jingtao Dou may publish in the future.
Co-authorship network of co-authors of Jingtao Dou
This figure shows the co-authorship network connecting the top 25 collaborators of Jingtao Dou. A scholar is included among the top collaborators of Jingtao Dou 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 Jingtao Dou. Jingtao Dou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 14 | |
| 3 | 54 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 54 | |
| 8 | 2 | |
| 9 | [A retrospective study of the impact of diabetes mellitus on survival in patients with lung cancer]. | 0 |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | Significance of thyrotrophic receptor antibody(TRAb) in clinical diagnosis of Graves’ disease | 1 |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 26 | |
| 20 | 118 |
About Jingtao Dou
Jingtao Dou is a scholar working on Endocrinology, Diabetes and Metabolism, Anatomy and Nephrology, having authored 94 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers) and Diabetes Treatment and Management (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (799 citations), Cardiology and Cardiovascular Medicine (266 citations) and Behavioral Neuroscience (33 citations). Jingtao Dou has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yiming Mu, Juming Lu, Anping Wang, Miroslava Macova, Weijun Gu, Guoqing Yang, Wenhua Yan, Juan M. Saavedra, Jianming Ba and Jin Zhou. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Stroke.
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.