Hongli Yang
- Epidemiology top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Infectious Diseases top 5%
- Hepatology top 5%
- Co-authors
- Jie LiRamsey CheungBiyao ZouMindie H. NguyenLinda HenryChuanli LiuDaniel Q. HuangMichel Vaultier
- Topics
- Advanced Software Engineering Methodologies (9 papers)Microtubule and mitosis dynamics (8 papers)Cancer-related Molecular Pathways (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsFood Chemistry
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hongli Yang
110 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Epidemiology 715
- Molecular Biology 423
- Endocrinology, Diabetes and Metabolism 342
- Infectious Diseases 297
- Hepatology 242
Countries citing papers authored by Hongli Yang
This map shows the geographic impact of Hongli Yang'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 Hongli Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongli Yang more than expected).
Fields of papers citing papers by Hongli Yang
This network shows the impact of papers produced by Hongli Yang. 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 Hongli Yang. The network helps show where Hongli Yang may publish in the future.
Co-authorship network of co-authors of Hongli Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Hongli Yang. A scholar is included among the top collaborators of Hongli Yang 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 Hongli Yang. Hongli Yang 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 | 7 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | Cotyledons: a useful biological material for transient gene expression analysis in rapeseed (Brassica napus L.). | 3 |
| 12 | 93 | |
| 13 | 33 | |
| 14 | 5 | |
| 15 | 12 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | Cost-Effect Analysis of Integrated Chinese and Western Medical Treatment for Advanced Non-small Cell Lung Cancer | 2 |
| 19 | 24 | |
| 20 | Using UML for Specification and Refinement of Software Architectures | 1 |
About Hongli Yang
Hongli Yang is a scholar working on Medical Laboratory Technology, Modeling and Simulation and Software, having authored 120 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (9 papers), Microtubule and mitosis dynamics (8 papers) and Cancer-related Molecular Pathways (7 papers). The work is most often cited by research in Hepatology (242 citations), Epidemiology (715 citations) and Endocrinology, Diabetes and Metabolism (342 citations). Hongli Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jie Li, Ramsey Cheung, Biyao Zou, Mindie H. Nguyen, Linda Henry, Chuanli Liu, Daniel Q. Huang, Michel Vaultier, Saïd Gmouh and Christopher D Stave. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.
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.