Lin Tan

494 citations
15 papers · 358 · h-index 10

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Silk-based biomaterials and applications 2
    • Electrospun Nanofibers in Biomedical Applications 2
    • Genetics, Aging, and Longevity in Model Organisms 4

Lin Tan

14 papers receiving 355 citations

Peers

Lin Tan
Comparison fields: 5 of 79
  • Aging 37
  • Biomaterials 98
  • Polymers and Plastics 36
  • Biomedical Engineering 101
  • Molecular Medicine 10
Replace Yun Dou with:
Yun Dou China
Ji Young Choi United States
Jiangyue Wang China
Yupeng Zhao China
Chang Mo Kang South Korea
Naagarajan Narayanan United States
Shujing Ren China
Jinfu Wu China
Xiaoyu He China
Rui‐Fang Chi China
Lin Tan relative to Yun Dou China Yun Dou's profile →
Citations per field
00.5×2.6×
Yun Dou · 1×
Citations per year

Countries citing papers authored by Lin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Lin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2022124
2 202243
3 202136
4 202231
5 201730
6 202026
7 202216
8 202315
9 202015
10 202313
11 20246
12 20241
13 20251
14 20241
15 20250

About Lin Tan

Lin Tan is a scholar working on Biomaterials, Aging, Molecular Biology, Electrical and Electronic Engineering and Biomedical Engineering, having authored 15 papers that have together received 358 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Silk-based biomaterials and applications (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Advancements in Battery Materials (2 papers), MicroRNA in disease regulation (2 papers), Advanced Battery Technologies Research (1 paper) and Electrohydrodynamics and Fluid Dynamics (1 paper). The work is most often cited by research in Aging (37 citations), Biomaterials (98 citations), Polymers and Plastics (36 citations), Biomedical Engineering (101 citations) and Molecular Medicine (10 citations). Lin Tan has collaborated with scholars based in China, Hong Kong and New Zealand. Frequent co-authors include Huaizhong Xu, Shinichi Yagi, Lei Du, Md Enamul Hoque, Huai‐Rong Luo, Gui-Sheng Wu, Xiaotao Xing, Haisen Huang, Xun Xu and Jian Yang. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Biogerontology, Acta Pharmacologica Sinica, Cellulose and Journal of Alloys and Compounds.

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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