Chenshi Lin

16 papers receiving 621 citations

Chenshi Lin's Hit Papers

The effects of protein corona on in vivo fate of nanocarriers 2022 · 184 citations
1840+1+2Years since publication50100150

Peers

Chenshi Lin
Comparison fields: 5 of 87
  • Biomaterials 241
  • Pharmaceutical Science 33
  • Biomedical Engineering 211
  • Molecular Biology 224
  • Cancer Research 42
Replace Hua Song with:
Hua Song China
Zheng Pan China
Qiuyue Ren China
Yoshihisa Kaneda Japan
Makhloufi Zoulikha China
Sheng‐Xue Xie United States
Tsang-Pai Liu Taiwan
Xiyou Du China
Emily E. Morin United States
Chenshi Lin relative to Hua Song China Hua Song's profile →
Citations per field
00.5×4.2×
Hua Song · 1×
Citations per year

Countries citing papers authored by Chenshi Lin

Since Specialization
Citations

This map shows the geographic impact of Chenshi Lin'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 Chenshi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenshi Lin more than expected).

Fields of papers citing papers by Chenshi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chenshi Lin. 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 Chenshi Lin. The network helps show where Chenshi Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Chenshi Lin, 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 Chenshi Lin Line = papers co-authored together Chenshi Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018209
2
The effects of protein corona on in vivo fate of nanocarriers
Hit paper breakdown →
2022184
3 202359
4 202047
5 202139
6 202226
7 201921
8 202118
9 20238
10 20254
11 20223
12 20222
13 20251
14 20261
15 20231
16 20141
17 20260
18 20250
19 20220
20 20250

About Chenshi Lin

Chenshi Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Biomaterials, Endocrinology, Diabetes and Metabolism and Surgery, having authored 21 papers that have together received 624 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (4 papers), Diabetes Treatment and Management (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), MicroRNA in disease regulation (2 papers), Nanoplatforms for cancer theranostics (2 papers), Case Reports on Hematomas (1 paper), Polymer Surface Interaction Studies (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Biomaterials (241 citations), Pharmaceutical Science (33 citations), Biomedical Engineering (211 citations), Molecular Biology (224 citations) and Cancer Research (42 citations). Chenshi Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei He, Chao Teng, Min Qiu, Xiaotong Li, Makhloufi Zoulikha, Qingqing Xiao, Marwa A. Sallam, Qiaobing Xu, Lei Yang and Chao Qin. Their work appears in journals such as Acta Pharmaceutica Sinica B, Medicine, Carbohydrate Polymers, Burns & Trauma and Advanced Drug Delivery Reviews.

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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