Jing Han
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Cellular and Molecular Neuroscience top 5%
- Immunology top 10%
- Topics
- Diabetes Treatment and Management (40 papers)Pancreatic function and diabetes (27 papers)Neuropeptides and Animal Physiology (22 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismDevelopmental NeuroscienceCellular and Molecular Neuroscience
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jing Han
136 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 761
- Endocrinology, Diabetes and Metabolism 442
- Surgery 289
- Cellular and Molecular Neuroscience 288
- Immunology 261
Countries citing papers authored by Jing Han
This map shows the geographic impact of Jing Han'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 Jing Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Han more than expected).
Fields of papers citing papers by Jing Han
This network shows the impact of papers produced by Jing Han. 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 Jing Han. The network helps show where Jing Han may publish in the future.
Co-authorship network of co-authors of Jing Han
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Han. A scholar is included among the top collaborators of Jing Han 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 Jing Han. Jing Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 22 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | Improving effect of resveratrol on regulating cell autophagy for no -reflow after myocardial ischemia-reperfusion in rats | 1 |
| 16 | 5 | |
| 17 | Formal caregivers' experience of coping with behavioral and psychological symptoms of dementia in clinical settings:a qualitative study | 1 |
| 18 | 11 | |
| 19 | Clerodendranthus Spicatus Capsule on Rat Organ of Long-term Toxicity Experimental Study | 1 |
| 20 | 51 |
About Jing Han
Jing Han is a scholar working on Drug Discovery, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 145 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (40 papers), Pancreatic function and diabetes (27 papers) and Neuropeptides and Animal Physiology (22 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (442 citations), Developmental Neuroscience (91 citations) and Cellular and Molecular Neuroscience (288 citations). Jing Han has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gao‐Xue Wang, Jun Nie, Lidan Sun, Junjie Fu, Hai Qian, Wenlong Huang, Paul H. Patterson, Ruixue Yin, Feng Zhou and Haitian Ma. Their work appears in journals such as Journal of Neuroscience, Cancer Research and Chemical Communications.
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.