Xiaoting Lin

1.3k citations
41 papers · 918 · h-index 15

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation

Papers in

Xiaoting Lin

36 papers receiving 901 citations

Peers

Xiaoting Lin
Comparison fields: 5 of 86
  • Cancer Research 274
  • Molecular Biology 574
  • Oncology 172
  • Physiology 22
  • Immunology 72
Replace Wenwen Chien with:
Wenwen Chien United States
Renan Jin China
Dali Zhao China
Jun-Ying Zhou United States
Wenhui Lou China
Xiaoqian Jing China
Qianqian Lei China
Hiroaki Kasashima Japan
Masaaki Miyo Japan
Xiaoting Lin relative to Wenwen Chien United States Wenwen Chien's profile →
Citations per field
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Wenwen Chien · 1×
Citations per year

Countries citing papers authored by Xiaoting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019220
2 2019148
3 2021107
4 201886
5 201848
6 201838
7 202035
8 201824
9 202023
10 202023
11 201219
12 201919
13 202415
14 201715
15 202414
16 201912
17 201911
18 201910
19
[Outcome of allogeneic hematopoietic stem cell transplantation from HLA-matched sibling donor for 41 cases of severe aplastic anemia].
20126
20 20225

About Xiaoting Lin

Xiaoting Lin is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Epidemiology and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 918 indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Autophagy in Disease and Therapy (3 papers), RNA modifications and cancer (3 papers), Pediatric Urology and Nephrology Studies (2 papers), Cancer-related gene regulation (2 papers), Pelvic floor disorders treatments (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (274 citations), Molecular Biology (574 citations), Oncology (172 citations), Physiology (22 citations) and Immunology (72 citations). Xiaoting Lin has collaborated with scholars based in China, Ethiopia and Hong Kong. Frequent co-authors include Cheng Zhang, Lin Shen, Jifang Gong, Zhongwu Li, Wenwen Huang, Jing Gao, Jing Gao, Mengqi Zhang, Sai Ge and Bin Dong. Their work appears in journals such as Cancer Management and Research, Journal of Clinical Oncology, Cell Death and Disease, Journal of Experimental & Clinical Cancer Research and npj Precision Oncology.

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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