Di Sha
Impact in
- Biological Psychiatry top 10%
-
- Neuroscience and Neuropharmacology Research
Papers in
-
- Gut microbiota and health 3
- 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)Advances in experimental medicine and biology (2 papers)Biomedicine & Pharmacotherapy (2 papers)Journal of Biomedical Science (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Di Sha
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 125
- Biological Psychiatry 43
- Cellular and Molecular Neuroscience 260
- Cell Biology 228
- Transportation 82
- Developmental Neuroscience 33
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 193 | |
| 2 | 2005 | 140 | |
| 3 | 2019 | 118 | |
| 4 | 2021 | 53 | |
| 5 | 2020 | 53 | |
| 6 | 2008 | 52 | |
| 7 | 2014 | 40 | |
| 8 | 2021 | 40 | |
| 9 | 2020 | 37 | |
| 10 | 2015 | 37 | |
| 11 | 2019 | 36 | |
| 12 | 2013 | 26 | |
| 13 | 2022 | 25 | |
| 14 | 2018 | 23 | |
| 15 | 2008 | 23 | |
| 16 | 2020 | 20 | |
| 17 | 2003 | 17 | |
| 18 | 2003 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2003 | 16 |
About Di Sha
Di Sha is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Control and Systems Engineering and Physiology, having authored 43 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), Transportation Planning and Optimization (4 papers), Biochemical effects in animals (4 papers), Traffic control and management (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Retinal Diseases and Treatments (4 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Biological Psychiatry (43 citations), Cellular and Molecular Neuroscience (260 citations), Cell Biology (228 citations), Transportation (82 citations) and Developmental Neuroscience (33 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, Advances in experimental medicine and biology, Biomedicine & Pharmacotherapy and Journal of Biomedical Science.
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.