Fu Li

2.0k citations
54 papers · 899 · h-index 18

Impact in

Papers in

    • RNA Interference and Gene Delivery 4
    • Retinoids in leukemia and cellular processes 2
    • Mechanisms of cancer metastasis 2
    • Angiogenesis and VEGF in Cancer 2
    • Breast Cancer Treatment Studies 3

Fu Li

51 papers receiving 882 citations

Peers

Fu Li
Comparison fields: 5 of 115
  • Cell Biology 130
  • Cancer Research 103
  • Molecular Biology 431
  • Biological Psychiatry 12
  • Physiology 23
Replace Xiaoxiao Wang with:
Xiaoxiao Wang China
Karla Queiroz Netherlands
Chao Hu China
Lihua Gao China
Yu‐Chun Lin China
Sang‐Hyun Min South Korea
Mehdi Eshraghi Iran
Qingqing Li China
Lu Qiu China
Sung Un Kang South Korea
Fu Li relative to Xiaoxiao Wang China Xiaoxiao Wang's profile →
Citations per field
00.5×3.8×
Xiaoxiao Wang · 1×
Citations per year

Countries citing papers authored by Fu Li

Since Specialization
Citations

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

Fields of papers citing papers by Fu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200189
2 201473
3 201556
4 200944
5 202042
6 201642
7 201441
8 200836
9 202133
10 201832
11 201532
12 201331
13 200925
14 202424
15 202024
16 201521
17 202320
18 201218
19 202216
20 201916

About Fu Li

Fu Li is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Cell Biology, having authored 54 papers that have together received 899 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Cellular transport and secretion (4 papers), Breast Cancer Treatment Studies (3 papers), Cancer Cells and Metastasis (3 papers), Retinoids in leukemia and cellular processes (2 papers), Mechanisms of cancer metastasis (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Cell Biology (130 citations), Cancer Research (103 citations), Molecular Biology (431 citations), Biological Psychiatry (12 citations) and Physiology (23 citations). Fu Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yao‐Wen Wu, Roger S. Goody, Aymelt Itzen, Lei Zhao, Long Yi, Michael C. Ostrowski, Julie A. Wallace, Masanori Hosokawa, Masayuki Mori and Kumiko Kogishi. Their work appears in journals such as Organic & Biomolecular Chemistry, Food Research International, Journal of Neuroinflammation, Gene and Journal of Industrial Textiles.

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.

Explore authors with similar magnitude of impact