Xiaoyi Lin

37 papers receiving 456 citations

Peers

Xiaoyi Lin
Comparison fields: 5 of 91
  • Rehabilitation 37
  • Aging 10
  • Neurology 35
  • Pediatrics, Perinatology and Child Health 59
  • Infectious Diseases 46
Replace Chong Yew Tan with:
Chong Yew Tan United Kingdom
Takami Sho China
Xiaohui Wu China
Janosch Hildebrand Germany
Zsuzsanna Sandor United States
Aiping Liu United States
Mary E. A. Howell United States
Guangju Luo United States
Rubén Zapata‐Pérez Spain
Hila Emmert Germany
Xiaoyi Lin relative to Chong Yew Tan United Kingdom Chong Yew Tan's profile →
Citations per field
00.5×
Chong Yew Tan · 1×
Citations per year

Countries citing papers authored by Xiaoyi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201462
2 201352
3 202246
4 200744
5 201928
6 202224
7 201920
8 202118
9 201517
10 201616
11 201714
12 201314
13
Dynamic progression of an intraperitoneal xenograft model of human ovarian cancer and its potential for preclinical trials.
200714
14 201613
15 202112
16 202412
17 201611
18 202210
19 20245
20 20224

About Xiaoyi Lin

Xiaoyi Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Infectious Diseases, Oncology and Surgery, having authored 39 papers that have together received 465 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Neonatal and fetal brain pathology (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Genomics and Diagnostics (2 papers), Nutritional Studies and Diet (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Breast Implant and Reconstruction (2 papers). The work is most often cited by research in Rehabilitation (37 citations), Aging (10 citations), Neurology (35 citations), Pediatrics, Perinatology and Child Health (59 citations) and Infectious Diseases (46 citations). Xiaoyi Lin has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Yu Sun, Dianer Yang, Diana M. Lindquist, R. Scott Dunn, Birong Dong, Jie Zhou, Guochun Zhang, Chia-Yi Kuan, Lijuan Guo and Xin Lin. Their work appears in journals such as Journal of Applied Microbiology, World Journal of Surgery, Environmental Pollution, International Journal of Gynecological Cancer and Journal of Neuroscience.

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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