Ling He
- Molecular Biology
- Plant Science top 10%
- Food Science top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 10%
- Co-authors
- Liyuan ZhangHaoru WangHao DingXin QiShuwen LiuLi ZhangLi JiaYue Yu
- Topics
- Neuroblastoma Research and Treatments (19 papers)Radiomics and Machine Learning in Medical Imaging (14 papers)Glioma Diagnosis and Treatment (12 papers)
- Cited by
- BiochemistryNeurologyFood Science
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Ling He
127 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 148
- Molecular Biology 193
- Plant Science 178
- Food Science 147
- Radiology, Nuclear Medicine and Imaging 138
- Neurology 128
Countries citing papers authored by Ling He
This map shows the geographic impact of Ling He'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 Ling He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling He more than expected).
Fields of papers citing papers by Ling He
This network shows the impact of papers produced by Ling He. 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 Ling He. The network helps show where Ling He may publish in the future.
Co-authorship network of co-authors of Ling He
This figure shows the co-authorship network connecting the top 25 collaborators of Ling He. A scholar is included among the top collaborators of Ling He 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 Ling He. Ling He 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 | 5 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | Serum calcium levels are not associated with coronary heart disease | 1 |
| 19 | Recent Advancement on Animal Models of Renal Tubulointerstitial Fibrosis | 1 |
| 20 | Determination of olennolic acid and ursolic acid in Fructus chaenomelis by HPLC-Evaporative light-scattering detection method | 4 |
About Ling He
Ling He is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 142 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (19 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Glioma Diagnosis and Treatment (12 papers). The work is most often cited by research in Biochemistry (53 citations), Neurology (128 citations) and Food Science (147 citations). Ling He has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Liyuan Zhang, Haoru Wang, Hao Ding, Xin Qi, Shuwen Liu, Li Zhang, Li Jia, Yue Yu, Kan Shi and Baoguo Fan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.