Xiaoying Lin

2.4k total citations · 1 hit paper
73 papers, 1.7k citations indexed

About

Xiaoying Lin is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Epidemiology. According to data from OpenAlex, Xiaoying Lin has authored 73 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 13 papers in Health, Toxicology and Mutagenesis and 8 papers in Epidemiology. Recurrent topics in Xiaoying Lin's work include Heavy Metal Exposure and Toxicity (10 papers), Gut microbiota and health (10 papers) and Mercury impact and mitigation studies (8 papers). Xiaoying Lin is often cited by papers focused on Heavy Metal Exposure and Toxicity (10 papers), Gut microbiota and health (10 papers) and Mercury impact and mitigation studies (8 papers). Xiaoying Lin collaborates with scholars based in China, Hong Kong and United States. Xiaoying Lin's co-authors include Xian Wang, Yufeng Li, Hongchuan Jin, Liwei Cui, Jiating Zhao, Xiaojia Wang, Zhixing He, Lifeng Feng, Jie Sun and Yuxi Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Xiaoying Lin

66 papers receiving 1.7k citations

Hit Papers

Versatile dopamine-functionalized hyaluronic acid-recombi... 2024 2026 2025 2024 25 50 75 100

Peers

Xiaoying Lin
Comparison fields: 5 of 125
  • Molecular Biology 912
  • Epidemiology 380
  • Health, Toxicology and Mutagenesis 214
  • Cancer Research 140
  • Nutrition and Dietetics 137
Replace Hailong Hu with:
Hailong Hu China
Zhong‐Ning Lin China
Yang Long China
Luis E. Gómez-Quiroz Mexico
Caixia Guo China
Song Wang China
Yang Long China
Jianzhao Liao China
Chwen-Ming Shih Taiwan
Xiaoqing He China
Hailong Hu China View profile →
Citations per field, relative to Xiaoying Lin
Xiaoying Lin · 1×
Citations per year, relative to Xiaoying Lin
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Countries citing papers authored by Xiaoying Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoying Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoying Lin. A scholar is included among the top collaborators of Xiaoying Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoying Lin. Xiaoying Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 0
4 0
5
Versatile dopamine-functionalized hyaluronic acid-recombinant human collagen hydrogel promoting diabetic wound healing via inflammation control and vascularization tissue regeneration breakdown →
110
6 3
7 17
8 11
9 20
10 16
11 3
12 41
13 20
14 5
15 222
16 60
17 18
18 10
19 42
20 223

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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