Kejing Wang
- Molecular Biology
- Surgery top 10%
- Plant Science top 10%
- Cancer Research top 10%
- Oncology
- Co-authors
- Xianghua LiJinbiao ShangYoshihito TakahataJianlin LouMinghua GeLiang GuoXiaohuan YangHongyan Cai
- Topics
- Soybean genetics and cultivation (27 papers)Thyroid Cancer Diagnosis and Treatment (20 papers)Legume Nitrogen Fixing Symbiosis (16 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Kejing Wang
136 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 148
- Molecular Biology 485
- Surgery 363
- Plant Science 311
- Cancer Research 274
- Oncology 206
Countries citing papers authored by Kejing Wang
This map shows the geographic impact of Kejing Wang'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 Kejing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejing Wang more than expected).
Fields of papers citing papers by Kejing Wang
This network shows the impact of papers produced by Kejing Wang. 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 Kejing Wang. The network helps show where Kejing Wang may publish in the future.
Co-authorship network of co-authors of Kejing Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Kejing Wang. A scholar is included among the top collaborators of Kejing Wang 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 Kejing Wang. Kejing Wang 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 | 4 | |
| 3 | 1 | |
| 4 | 21 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 106 | |
| 13 | Multiple scale spatialization of demographic data with multi-factor linear regression and geographically weighted regression models | 8 |
| 14 | 4 | |
| 15 | 96 | |
| 16 | [Salvage surgery for neck recurrence or residue of nasopharyngeal carcinoma after primary radiotherapy]. | 2 |
| 17 | 1 | |
| 18 | 3 | |
| 19 | Detection and Analysis of Isoflavone Content and Quality Traits of Different Soybean Types in Chongqing | 1 |
| 20 | The prognostic factors of medullary thyroid carcinoma | 1 |
About Kejing Wang
Kejing Wang is a scholar working on Otorhinolaryngology, Endocrinology, Diabetes and Metabolism and Plant Science, having authored 149 papers that have together received 1.7k indexed citations. Recurring topics across this work include Soybean genetics and cultivation (27 papers), Thyroid Cancer Diagnosis and Treatment (20 papers) and Legume Nitrogen Fixing Symbiosis (16 papers). The work is most often cited by research in Cancer Research (274 citations), Endocrinology, Diabetes and Metabolism (182 citations) and Otorhinolaryngology (38 citations). Kejing Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xianghua Li, Jinbiao Shang, Yoshihito Takahata, Jianlin Lou, Minghua Ge, Liang Guo, Xiaohuan Yang, Hongyan Cai, Linlin Xiao and Shengye Wang. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and The Science of The Total 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.