Jie Shi
- Hepatology top 0.5%
- Molecular Biology top 10%
- Epidemiology top 5%
- Cancer Research top 5%
- Biochemistry top 1%
- Co-authors
- Naomi DattaFrancisco A. Tom�s-Barber�nRiantong SinganusongLukun YaoWei‐Xing GuoShuqun ChengMengchao WuJie Xue
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (53 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (31 papers)Liver Disease Diagnosis and Treatment (23 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jie Shi
133 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Hepatology 1.3k
- Molecular Biology 937
- Epidemiology 762
- Cancer Research 518
- Biochemistry 511
Countries citing papers authored by Jie Shi
This map shows the geographic impact of Jie Shi'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 Jie Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Shi more than expected).
Fields of papers citing papers by Jie Shi
This network shows the impact of papers produced by Jie Shi. 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 Jie Shi. The network helps show where Jie Shi may publish in the future.
Co-authorship network of co-authors of Jie Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Jie Shi. A scholar is included among the top collaborators of Jie Shi 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 Jie Shi. Jie Shi 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 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 20 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | Effects of YinDanXinNaoTong capsule on the levels of homocysteine and blood lipids in coronary heart disease patients | 1 |
| 18 | Study on apoptosis of human dermal fibroblasts induced by sulfur mustard | 1 |
| 19 | Effect of Oligo-and Poly-Saccharide on CYP3A4 Using the Metabolic Method in Vivo | 1 |
| 20 | The relationship between the polymorphysm of MTHFR gene and type 2 diabetes mellitus | 1 |
About Jie Shi
Jie Shi is a scholar working on Hepatology, Cancer Research and Epidemiology, having authored 146 papers that have together received 3.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (53 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (31 papers) and Liver Disease Diagnosis and Treatment (23 papers). The work is most often cited by research in Hepatology (1.3k citations), Biochemistry (511 citations) and Cancer Research (518 citations). Jie Shi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Naomi Datta, Francisco A. Tom�s-Barber�n, Riantong Singanusong, Lukun Yao, Wei‐Xing Guo, Shuqun Cheng, Mengchao Wu, Jie Xue, Kang Wang and Wan Yee Lau. Their work appears in journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.
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.