Chunla He

9 papers receiving 768 citations

Chunla He's Hit Papers

Meta-Analysis of Nanoparticle Delivery to Tumors Using a Physiologically Based Pharmacokinetic Modeling and Simulation Approach 2020 · 230 citations
2300+2+4Years since publication50100150200

Peers

Chunla He
Comparison fields: 5 of 109
  • Biomaterials 214
  • Reproductive Medicine 133
  • Endocrine and Autonomic Systems 68
  • Biomedical Engineering 203
  • Health, Toxicology and Mutagenesis 63
Replace Yinghua Lv with:
Yinghua Lv China
Daniel Winnica United States
Marı́a P. Carrasco Spain
Ahmed Reda Egypt
Samuel Solomon Canada
Ling Long China
Françoise Lasne France
Fangfang He China
Linsong Yang China
Hee‐Gyoo Kang South Korea
Chunla He relative to Yinghua Lv China Yinghua Lv's profile →
Citations per field
00.5×
Yinghua Lv · 1×
Citations per year

Countries citing papers authored by Chunla He

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chunla He Line = papers co-authored together Chunla He links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Meta-Analysis of Nanoparticle Delivery to Tumors Using a Physiologically Based Pharmacokinetic Modeling and Simulation Approach
Hit paper breakdown →
2020230
2 2015165
3 2014124
4 202398
5 201753
6 202346
7 202435
8 201430
9 20193

About Chunla He

Chunla He is a scholar working on Biomaterials, Computational Mechanics, Health, Toxicology and Mutagenesis, Clinical Biochemistry and Biomedical Engineering, having authored 9 papers that have together received 784 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (4 papers), Field-Flow Fractionation Techniques (3 papers), Graphene and Nanomaterials Applications (2 papers), Nanoplatforms for cancer theranostics (2 papers), Metabolism and Genetic Disorders (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper), Endometriosis Research and Treatment (1 paper) and Radiation Therapy and Dosimetry (1 paper). The work is most often cited by research in Biomaterials (214 citations), Reproductive Medicine (133 citations), Endocrine and Autonomic Systems (68 citations), Biomedical Engineering (203 citations) and Health, Toxicology and Mutagenesis (63 citations). Chunla He has collaborated with scholars based in United States. Frequent co-authors include Zhoumeng Lin, Jim E. Riviere, Nancy A. Monteiro‐Riviere, Sara Wagner Robb, Yi‐Hsien Cheng, Amara E. Ezeamama, John E. Vena, Mark H. Ebell, Qiran Chen and Wei‐Chun Chou. Their work appears in journals such as Journal of Controlled Release, ACS Nano, Toxicological Sciences, 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.

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