Chunla He
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Reproductive Medicine top 5%
- Ovarian function and disorders
Papers in
-
- Nanoparticle-Based Drug Delivery 5
-
- Field-Flow Fractionation Techniques 3
- Co-authors
- Zhoumeng Lin (9 shared papers)Jim E. Riviere (6 shared papers)Nancy A. Monteiro‐Riviere (5 shared papers)Yi‐Hsien Cheng (4 shared papers)Sara Wagner Robb (2 shared papers)Wei‐Chun Chou (4 shared papers)Amara E. Ezeamama (1 shared paper)Long Yuan (3 shared papers)
- Journals
- ACS Nano (2 papers)Journal of Controlled Release (2 papers)Nutrients (1 paper)International Archives of Occupational and Environmental Health (1 paper)Journal of Animal Science (1 paper)
- Partner nations
- United States
In The Last Decade
Chunla He
10 papers receiving 931 citations
Chunla He's Hit Papers
Peers
Comparison fields: 5 of 115
- Biomaterials 256
- Reproductive Medicine 123
- Endocrine and Autonomic Systems 60
- Biomedical Engineering 244
- Health Informatics 7
Countries citing papers authored by Chunla He
This map shows the geographic impact of Chunla 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 Chunla He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunla He more than expected).
Fields of papers citing papers by Chunla He
This network shows the impact of papers produced by Chunla 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 Chunla He. The network helps show where Chunla He may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunla He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Meta-Analysis of Nanoparticle Delivery to Tumors Using a Physiologically Based Pharmacokinetic Modeling and Simulation Approach Hit paper breakdown → | 2020 | 246 |
| 2 | 2015 | 168 | |
| 3 | 2014 | 127 | |
| 4 | 2023 | 114 | |
| 5 | Predicting Nanoparticle Delivery to Tumors Using Machine Learning and Artificial Intelligence Approaches | 2022 | 94 |
| 6 | 2023 | 61 | |
| 7 | 2017 | 53 | |
| 8 | 2024 | 50 | |
| 9 | 2014 | 30 | |
| 10 | 2019 | 3 |
About Chunla He
Chunla He is a scholar working on Biomaterials, Computational Mechanics, Pulmonary and Respiratory Medicine, Clinical Biochemistry and Biomedical Engineering, having authored 10 papers that have together received 946 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (5 papers), Field-Flow Fractionation Techniques (3 papers), Radiation Therapy and Dosimetry (2 papers), Graphene and Nanomaterials Applications (2 papers), Nanoplatforms for cancer theranostics (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Biomaterials (256 citations), Reproductive Medicine (123 citations), Endocrine and Autonomic Systems (60 citations), Biomedical Engineering (244 citations) and Health Informatics (7 citations). Chunla He has collaborated with scholars based in United States. Frequent co-authors include Zhoumeng Lin, Jim E. Riviere, Nancy A. Monteiro‐Riviere, Yi‐Hsien Cheng, Sara Wagner Robb, Wei‐Chun Chou, Amara E. Ezeamama, Long Yuan, Qiran Chen and Mark H. Ebell. Their work appears in journals such as ACS Nano, Journal of Controlled Release, Nutrients, International Archives of Occupational and Environmental Health and Journal of Animal Science.
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.