Liang Ji
- Oncology top 5%
- Organic Chemistry top 5%
- Molecular Biology
- Materials Chemistry
- Inorganic Chemistry top 10%
- Co-authors
- Kang ZhengJun LiFred BasoloMark E. RerekHui ChaoXuan TianGuang YangLei Wang
- Topics
- Metal complexes synthesis and properties (14 papers)DNA and Nucleic Acid Chemistry (7 papers)Ferrocene Chemistry and Applications (6 papers)
- Journals
- Journal of Agricultural and Food ChemistryBiochemical and Biophysical Research CommunicationsBuilding and Environment
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Liang Ji
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Oncology 590
- Organic Chemistry 464
- Molecular Biology 411
- Materials Chemistry 148
- Inorganic Chemistry 147
Countries citing papers authored by Liang Ji
This map shows the geographic impact of Liang Ji'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 Liang Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Ji more than expected).
Fields of papers citing papers by Liang Ji
This network shows the impact of papers produced by Liang Ji. 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 Liang Ji. The network helps show where Liang Ji may publish in the future.
Co-authorship network of co-authors of Liang Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Ji. A scholar is included among the top collaborators of Liang Ji 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 Liang Ji. Liang Ji 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 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 22 | |
| 6 | 28 | |
| 7 | 7 | |
| 8 | 53 | |
| 9 | Counterparty Valuation Adjustment Calculation Model of Multi-counterparties Credit Default Swap | 1 |
| 10 | 57 | |
| 11 | A Study on Woman’s Behavior Intention Model of Cervical Cancer Screening under the Structural Equation Model | 1 |
| 12 | 24 | |
| 13 | 73 | |
| 14 | 85 | |
| 15 | 18 | |
| 16 | Systematically experimental investigation on carcinogenesis or tumorigenicity of VERO cell lines of different karyotypes in nude mice in vivo used for viral vaccine manufacture. | 4 |
| 17 | 14 | |
| 18 | 66 | |
| 19 | 103 | |
| 20 | 147 |
About Liang Ji
Liang Ji is a scholar working on Oncology, Inorganic Chemistry and Organic Chemistry, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (14 papers), DNA and Nucleic Acid Chemistry (7 papers) and Ferrocene Chemistry and Applications (6 papers). The work is most often cited by research in Oncology (590 citations), Organic Chemistry (464 citations) and Inorganic Chemistry (147 citations). Liang Ji has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kang Zheng, Jun Li, Fred Basolo, Mark E. Rerek, Hui Chao, Xuan Tian, Guang Yang, Lei Wang, Jian Wu and Jie Liu. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Biochemical and Biophysical Research Communications and Building and Environment.
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.