Sisi Lin

847 citations
45 papers · 672 · h-index 14

Impact in

Papers in

Sisi Lin

39 papers receiving 657 citations

Peers

Sisi Lin
Comparison fields: 5 of 112
  • Cancer Research 133
  • Pharmaceutical Science 30
  • Pharmacology 28
  • Ophthalmology 26
  • Molecular Biology 201
Replace Min Shen with:
Min Shen China
Qiushuang Zhang China
Ya‐Hui Tsai Taiwan
Gong China
Xiaole Chen China
Andrew J Shaw United Kingdom
Haohao Zhang China
Yingxian Liu China
Jianming Chen China
Siying Chen China
Sisi Lin relative to Min Shen China Min Shen's profile →
Citations per field
00.5×4.3×
Min Shen · 1×
Citations per year

Countries citing papers authored by Sisi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Sisi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201282
2 201781
3 202360
4 201159
5 200452
6
Comparisons of different animal skins with human skin in drug percutaneous penetration studies.
199242
7 201131
8 201128
9 201824
10 201221
11 202020
12 201415
13 201915
14 202413
15 200313
16 200212
17 202011
18 199911
19 200210
20 20069

About Sisi Lin

Sisi Lin is a scholar working on Mechanical Engineering, Mechanics of Materials, Epidemiology, Electrical and Electronic Engineering and Oncology, having authored 45 papers that have together received 672 indexed citations. Recurring topics across this work include Metallurgy and Material Forming (7 papers), Metal Forming Simulation Techniques (7 papers), Advanced Machining and Optimization Techniques (6 papers), Advanced machining processes and optimization (6 papers), Mechanical Engineering and Vibrations Research (2 papers), Fungal Infections and Studies (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Cancer Research (133 citations), Pharmaceutical Science (30 citations), Pharmacology (28 citations), Ophthalmology (26 citations) and Molecular Biology (201 citations). Sisi Lin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Francis Lin, Ying Wang, Zhenguo Chen, Chengwei Chen, Peiqing Liu, Cuixian Li, Xiaoyan Shen, Chun Zhou, Jiawei Chen and Shaogui Wang. Their work appears in journals such as Computers & Structures, Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, Journal of Materials Processing Technology, BMC Microbiology and Chemico-Biological Interactions.

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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