Fuxi Li

1.1k citations
23 papers · 725 · h-index 16

Impact in

Papers in

    • RNA modifications and cancer 4
    • Protein Degradation and Inhibitors 2
    • Chromatin Remodeling and Cancer 2
    • Liver Disease Diagnosis and Treatment 9

Fuxi Li

23 papers receiving 721 citations

Peers

Fuxi Li
Comparison fields: 5 of 69
  • Cancer Research 163
  • Epidemiology 227
  • Molecular Biology 407
  • Hepatology 38
  • Endocrinology, Diabetes and Metabolism 57
Replace Bei‐Ge Jiang with:
Bei‐Ge Jiang China
Kristin Wahl Germany
Qiying Chen China
Liang Deng China
Guangyan Wei China
Junjun Zhao China
Wenjiang Yan China
Beatriz Aguilar‐Bravo Spain
Jie Yue China
Dapeng Lei China
Fuxi Li relative to Bei‐Ge Jiang China Bei‐Ge Jiang's profile →
Citations per field
00.5×5.7×
Bei‐Ge Jiang · 1×
Citations per year

Countries citing papers authored by Fuxi Li

Since Specialization
Citations

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

Fields of papers citing papers by Fuxi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019195
2 202193
3 202162
4 202047
5 201932
6 201931
7 201930
8 201930
9 202129
10 202120
11 201918
12 202117
13 202117
14 202217
15 202116
16 202315
17 202114
18 202013
19 20228
20 20217

About Fuxi Li

Fuxi Li is a scholar working on Molecular Biology, Epidemiology, Surgery, Oncology and Cancer Research, having authored 23 papers that have together received 725 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), RNA modifications and cancer (4 papers), Pancreatic and Hepatic Oncology Research (2 papers), Thermal Radiation and Cooling Technologies (2 papers), Protein Degradation and Inhibitors (2 papers), Peptidase Inhibition and Analysis (2 papers), Chromatin Remodeling and Cancer (2 papers) and Urban Heat Island Mitigation (2 papers). The work is most often cited by research in Cancer Research (163 citations), Epidemiology (227 citations), Molecular Biology (407 citations), Hepatology (38 citations) and Endocrinology, Diabetes and Metabolism (57 citations). Fuxi Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Junzhao Ye, Congxiang Shao, Wei Zhao, Bihui Zhong, Shi‐Ting Feng, Yansong Lin, Qiong‐Cong Xu, Siyun Chen, Wei Wang and Yi Yang. Their work appears in journals such as Advanced Science, Digestive and Liver Disease, Applied Materials Today, Diabetes & Metabolism Journal and Diabetology & Metabolic Syndrome.

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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