Xiaosa Li

1.3k citations
22 papers · 888 · 1 hit paper · h-index 13

Impact in

Papers in

Xiaosa Li

20 papers receiving 883 citations

Xiaosa Li's Hit Papers

Base editing with a Cpf1–cytidine deaminase fusion 2018 · 322 citations
3220+2+5Years since publication100200300

Peers

Xiaosa Li
Comparison fields: 5 of 88
  • Business and International Management 66
  • Aging 28
  • Molecular Biology 670
  • Cancer Research 96
  • Biochemistry 46
Replace Xueyun Ma with:
Xueyun Ma China
Sophie Carter Canada
Yunhui Liu China
Graham Magor Australia
Melissa S. McNulty United States
Ajit Shah United States
Takahiro Ishizuka Japan
Manasvi S. Shah United States
Sen Wang China
Winston Thomas United States
Xiaosa Li relative to Xueyun Ma China Xueyun Ma's profile →
Citations per field
00.5×5.1×
Xueyun Ma · 1×
Citations per year

Countries citing papers authored by Xiaosa Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaosa Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Base editing with a Cpf1–cytidine deaminase fusion
Hit paper breakdown →
2018322
2 2022102
3 201853
4 201752
5 201450
6 201748
7 202040
8 201639
9 201934
10 201334
11 201833
12 202419
13 201716
14 201910
15 201710
16 20218
17 20246
18 20245
19 20244
20 20233

About Xiaosa Li

Xiaosa Li is a scholar working on Molecular Biology, Cancer Research, Genetics, Biochemistry and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 888 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), CRISPR and Genetic Engineering (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Estrogen and related hormone effects (3 papers), Cancer, Lipids, and Metabolism (2 papers), Sulfur Compounds in Biology (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Business and International Management (66 citations), Aging (28 citations), Molecular Biology (670 citations), Cancer Research (96 citations) and Biochemistry (46 citations). Xiaosa Li has collaborated with scholars based in China, Italy and Australia. Frequent co-authors include Jia Chen, Bei Yang, Xiaodong Fu, Li Yang, Jia Wei, Ying Wang, Xiao Wang, Tommaso Simoncini, Jing Wu and Zongyang Lu. Their work appears in journals such as Trends in Endocrinology and Metabolism, Theranostics, Vascular Pharmacology, Cellular & Molecular Biology Letters and Nature Communications.

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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