Lingyi Fu

1.6k citations
22 papers · 818 · h-index 15

Impact in

Papers in

    • RNA modifications and cancer 5
    • Natural product bioactivities and synthesis 2
    • RNA Research and Splicing 2
    • Cancer-related gene regulation 2
    • Cancer, Hypoxia, and Metabolism 2

Lingyi Fu

20 papers receiving 812 citations

Peers

Lingyi Fu
Comparison fields: 5 of 86
  • Endocrine and Autonomic Systems 203
  • Biological Psychiatry 32
  • Cancer Research 145
  • Aging 13
  • Molecular Biology 459
Replace Wangbing Chen with:
Wangbing Chen China
John G. Geisler United States
Mario Andrés Salazar Hernández United States
Mi Ra Chang United States
Rongya Tao United States
Suryaprakash Raichur Australia
Kuo‐Hui Su Taiwan
Sang‐Ha Baik South Korea
Paul Fraser United Kingdom
Lingyi Fu relative to Wangbing Chen China Wangbing Chen's profile →
Citations per field
00.5×1.5×2.3×
Wangbing Chen · 1×
Citations per year

Countries citing papers authored by Lingyi Fu

Since Specialization
Citations

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

Fields of papers citing papers by Lingyi Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lingyi Fu, 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 Lingyi Fu Line = papers co-authored together Lingyi Fu 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 2012163
2 2013100
3 201595
4 201379
5 201262
6 201262
7 201357
8 201433
9 201329
10 201424
11 202123
12 202222
13 202118
14 201718
15 201414
16 20259
17 20253
18 20243
19 20242
20 20252

About Lingyi Fu

Lingyi Fu is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Pharmacology, having authored 22 papers that have together received 818 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Natural product bioactivities and synthesis (2 papers), RNA Research and Splicing (2 papers), Bioactive Compounds and Antitumor Agents (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer-related gene regulation (2 papers) and Berberine and alkaloids research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (203 citations), Biological Psychiatry (32 citations), Cancer Research (145 citations), Aging (13 citations) and Molecular Biology (459 citations). Lingyi Fu has collaborated with scholars based in China and United States. Frequent co-authors include Wuguo Deng, Dingbo Shi, Wenlin Huang, Jingshu Wang, Wangbing Chen, Xiangsheng Xiao, Tiebang Kang, Wei Guo, Fang‐Yun Xie and Liqun Liu. Their work appears in journals such as PLoS ONE, Journal of Pineal Research, Cancer Letters, Molecular Cancer and Scientific Reports.

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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