Di Sha
Impact in
- Biological Psychiatry top 10%
-
- Neuroscience and Neuropharmacology Research
Papers in
- Co-authors
- Jianning Wei (9 shared papers)Heng Wu (9 shared papers)Jang‐Yen Wu (8 shared papers)Hong Jin (4 shared papers)Ying Jin (5 shared papers)Kaan Özbay (9 shared papers)Xiaolin Tong (10 shared papers)Lian Li (4 shared papers)
- Journals
- Evidence-based Complementary and Alternative Medicine (3 papers)Diabetes (2 papers)Biomedicine & Pharmacotherapy (2 papers)Chinese Medicine (2 papers)Journal of Advanced Transportation (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Di Sha
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 126
- Biological Psychiatry 46
- Cellular and Molecular Neuroscience 269
- Cell Biology 239
- Transportation 81
- Developmental Neuroscience 36
Countries citing papers authored by Di Sha
This map shows the geographic impact of Di Sha'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 Di Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Sha more than expected).
Fields of papers citing papers by Di Sha
This network shows the impact of papers produced by Di Sha. 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 Di Sha. The network helps show where Di Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Di Sha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 193 | |
| 2 | 2005 | 139 | |
| 3 | 2019 | 116 | |
| 4 | 2008 | 53 | |
| 5 | 2020 | 51 | |
| 6 | 2021 | 50 | |
| 7 | 2014 | 38 | |
| 8 | 2021 | 37 | |
| 9 | 2020 | 37 | |
| 10 | 2015 | 36 | |
| 11 | 2019 | 35 | |
| 12 | 2013 | 26 | |
| 13 | 2022 | 24 | |
| 14 | 2018 | 23 | |
| 15 | 2008 | 23 | |
| 16 | 2020 | 19 | |
| 17 | 2003 | 17 | |
| 18 | 2003 | 17 | |
| 19 | 2003 | 16 | |
| 20 | 2008 | 15 |
About Di Sha
Di Sha is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Physiology and Control and Systems Engineering, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Traffic Prediction and Management Techniques (5 papers), Biochemical effects in animals (4 papers), Transportation Planning and Optimization (4 papers), Retinal Diseases and Treatments (4 papers), Traffic control and management (4 papers), Amino Acid Enzymes and Metabolism (4 papers) and Traffic and Road Safety (3 papers). The work is most often cited by research in Biological Psychiatry (46 citations), Cellular and Molecular Neuroscience (269 citations), Cell Biology (239 citations), Transportation (81 citations) and Developmental Neuroscience (36 citations). Di Sha has collaborated with scholars based in United States, China and France. Frequent co-authors include Jianning Wei, Heng Wu, Jang‐Yen Wu, Hong Jin, Ying Jin, Kaan Özbay, Xiaolin Tong, Lian Li, Lih‐Shen Chin and Richard D. Kopke. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Diabetes, Biomedicine & Pharmacotherapy, Chinese Medicine and Journal of Advanced Transportation.
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.